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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMI</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Med Inform</journal-id>
      <journal-title>JMIR Medical Informatics</journal-title>
      <issn pub-type="epub">2291-9694</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
    <article-id pub-id-type="publisher-id">v6i4e51</article-id>
    <article-id pub-id-type="pmid">30578195</article-id>
    <article-id pub-id-type="doi">10.2196/medinform.9495</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Original Paper</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Original Paper</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>Using an Internet-Based Hospital to Address Maldistribution of Health Care Resources in Rural Areas of Guangdong Province, China: Retrospective and Descriptive Study</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Eysenbach</surname>
          <given-names>Gunther</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Xie</surname>
          <given-names>Bo</given-names>
        </name>
      </contrib>
      <contrib contrib-type="reviewer">
        <name>
          <surname>Sheets</surname>
          <given-names>Lincoln</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1">
        <name name-style="western">
          <surname>He</surname>
          <given-names>Cui</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff1" ref-type="aff">1</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-7050-4915</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib2" corresp="yes">
      <name name-style="western">
        <surname>Zhou</surname>
        <given-names>Qiru</given-names>
      </name>
      <degrees>MBBS</degrees>
      <xref rid="aff2" ref-type="aff">2</xref>
      <address>
        <institution>Department of Guangdong Online Hospital</institution>
        <institution>Guangdong Second Provincial General Hospital</institution>
        <addr-line>466 Xingang Middle Road</addr-line>
        <addr-line>Haizhu District</addr-line>
        <addr-line>Guangzhou, 510317</addr-line>
        <country>China</country>
        <phone>86 02089168777</phone>
        <fax>86 02089168017</fax>
        <email>562783227@qq.com</email>
      </address>  
      <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-9819-746X</ext-link></contrib>
      <contrib contrib-type="author" id="contrib3">
        <name name-style="western">
          <surname>Chen</surname>
          <given-names>Wei</given-names>
        </name>
        <degrees>MD</degrees>
        <xref rid="aff3" ref-type="aff">3</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-9073-9022</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib4">
        <name name-style="western">
          <surname>Tian</surname>
          <given-names>Junzhang</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff4" ref-type="aff">4</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0002-4832-3648</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib5">
        <name name-style="western">
          <surname>Zhou</surname>
          <given-names>Lihua</given-names>
        </name>
        <degrees>MM</degrees>
        <xref rid="aff5" ref-type="aff">5</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0003-3051-0645</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib6">
        <name name-style="western">
          <surname>Peng</surname>
          <given-names>Hong</given-names>
        </name>
        <degrees>PhD</degrees>
        <xref rid="aff6" ref-type="aff">6</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-8831-1038</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib7">
        <name name-style="western">
          <surname>Luan</surname>
          <given-names>Shuo</given-names>
        </name>
        <degrees>MM</degrees>
        <xref rid="aff1" ref-type="aff">1</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-6003-4200</ext-link>
      </contrib>
      <contrib contrib-type="author" id="contrib8">
        <name name-style="western">
          <surname>Wang</surname>
          <given-names>Shengfei</given-names>
        </name>
        <degrees>MM</degrees>
        <xref rid="aff2" ref-type="aff">2</xref>
        <ext-link ext-link-type="orcid">http://orcid.org/0000-0001-5250-5551</ext-link>
      </contrib>
    </contrib-group>
    <aff id="aff1">
    <label>1</label>
    <institution>Department of Rehabilitation</institution>
    <institution>Guangdong Second Provincial General Hospital</institution>  
    <addr-line>Guangzhou</addr-line>
    <country>China</country></aff>
    <aff id="aff2">
    <label>2</label>
    <institution>Department of Guangdong Online Hospital</institution>
    <institution>Guangdong Second Provincial General Hospital</institution>  
    <addr-line>Guangzhou</addr-line>
    <country>China</country></aff>
    <aff id="aff3">
    <label>3</label>
    <institution>Outpatient Department</institution>
    <institution>Guangdong Second Provincial General Hospital</institution>  
    <addr-line>Guangzhou</addr-line>
    <country>China</country></aff>
    <aff id="aff4">
      <label>4</label>
      <institution>Guangdong Second Provincial General Hospital</institution>
      <addr-line>Guangzhou</addr-line>
      <country>China</country>
    </aff>
    <aff id="aff5">
    <label>5</label>
    <institution>Nursing Department</institution>
    <institution>Guangdong Second Provincial General Hospital</institution>  
    <addr-line>Guangzhou</addr-line>
    <country>China</country></aff>
    <aff id="aff6">
    <label>6</label>
    <institution>Department of Otorhinolaryngology, Head and Neck Surgery</institution>
    <institution>Guangdong Second Provincial General Hospital</institution>  
    <addr-line>Guangzhou</addr-line>
    <country>China</country></aff>
    <author-notes>
      <corresp>Corresponding Author: Qiru Zhou 
      <email>562783227@qq.com</email></corresp>
    </author-notes>
    <pub-date pub-type="collection"><season>Oct-Dec</season><year>2018</year></pub-date>
    <pub-date pub-type="epub">
      <day>21</day>
      <month>12</month>
      <year>2018</year>
    </pub-date>
    <volume>6</volume>
    <issue>4</issue>
    <elocation-id>e51</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>9</day>
        <month>12</month>
        <year>2017</year>
      </date>
      <date date-type="rev-request">
        <day>16</day>
        <month>3</month>
        <year>2018</year>
      </date>
      <date date-type="rev-recd">
        <day>30</day>
        <month>4</month>
        <year>2018</year>
      </date>
      <date date-type="accepted">
        <day>20</day>
        <month>7</month>
        <year>2018</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Cui He, Qiru Zhou, Wei Chen, Junzhang Tian, Lihua Zhou, Hong Peng, Shuo Luan, Shengfei Wang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 21.12.2018.</copyright-statement>
    <copyright-year>2018</copyright-year>
    <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
      <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.</p>
    </license>  
    <self-uri xlink:href="http://medinform.jmir.org/2018/4/e51/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="Background">
        <title>Background</title>
        <p>Health care maldistribution is a long-term problem in China. Telemedicine is an efficient way to deliver medical resources to remote areas; however, there are few studies on the effectiveness and challenges in providing health care from rural to urban areas in China.</p>
      </sec>
      <sec sec-type="Objective">
        <title>Objective</title>
        <p>The objective was to describe the effectiveness and challenges of telemedicine for providing health care from Guangzhou to rural areas in Guangdong Province.</p>
      </sec>
      <sec sec-type="Methods">
        <title>Methods</title>
        <p>We designed surveys and conducted them immediately after the consultation and 2-4 weeks later. Data were collected from June 2015 to May 2016 including patients’ demographic features, patient satisfaction, medicine effect, patient compliance, acceptability of prescription expenses, patients’ desire to revisit the department, the top 10 diseases, and self-reported difficulties in telemedicine experience. The monthly average prescription expense was described using a line chart. The monthly consultation and prescription, as well as monthly prescriptions of Western medicines and herbs, were described using a bar chart.</p>
      </sec>
      <sec sec-type="Results">
        <title>Results</title>
        <p>Women comprised majority (45,386/67,740, 67.00%) of participants and men comprised the minority (22,354/67,740, 33.00%). The top 3 diseases were upper respiratory diseases (12,371/36,311, 34.07%), laryngopharyngitis (4938/36,311, 13.60%), and menstrual disorders (4669/36,311, 12.86%). The monthly prescription for Western medicine was much more than that for Chinese herbs. The annual average medicine expense per prescription was 62.9 ¥. The participants’ perception of expense was acceptable (8775/12,450, 70.48%), mostly acceptable (2497/12,450, 20.01%), accepted but somewhat expensive (980/12,450, 7.9%), and unacceptable because of high cost (198/12,450, 1.6%). The surveys on patient satisfaction demonstrated very satisfied (55,687/67,740, 82.21%), satisfied (5891/67,740, 8.70%), basic satisfaction (3561/67,740, 5.26%), dissatisfaction (1454/67,740, 2.15%), and no comment (1147/67,740, 1.69%). Participants reported their treatment outcome as follows: full recovery (5008/12,450, 40.22%), recovering (4873/12,450, 39.14%), no effect (2153/12,450, 17.29%), or worsening (416/12,450, 3.3%). Approximately 89.01% (20,240/22,740) of participants will revisit the department, whereas 10.99% (2500/22,740) will not. Most patients complied with the doctors’ advice completely (5430/10,290, 52.77%), whereas the rest reported partial compliance (3684/10,290, 35.80%) or no compliance at all (1176/10,290, 11.43%). The participants reported poor computer skills (4980/22,740, 21.90%), transportation inconvenience (4670/22,740, 20.50%), unstable internet connection (3820/22,740, 16.80%), language barriers (3708/22,740, 16.30%), medication and medical hardware shortage (2459/22,740, 10.82%), tiring commute (2068/22,740, 9.08%), family care burdens (679/22,740, 3.0%), and other unclassified difficulties (356/22,740, 1.6%) as difficulties in using telemedicine.</p>
      </sec>
      <sec sec-type="Conclusions">
        <title>Conclusions</title>
        <p>Telemedicine has a wide disease spectrum, similar to ordinary medicine in China. It saves costs, has high patient satisfaction and price acceptability, and can relieve disease and syndromes. However, certain problems need to be resolved. Telemedicine could be a feasible approach to address the health care maldistribution in rural China. This study may provide useful information for policy making and guidance for further telemedicine practice in China and other developing countries.</p>
      </sec>
    </abstract>
    <kwd-group>
      <kwd>telemedicine</kwd>
      <kwd>health care delivery</kwd>
      <kwd>prescription</kwd>
      <kwd>cost</kwd>
      <kwd>patient satisfaction</kwd>
      <kwd>patient compliance</kwd>
    </kwd-group></article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>China is regarded as a traditionally agricultural society comprised of urban and rural areas with populations of 6.6 billion and 6.7 billion, respectively [<xref ref-type="bibr" rid="ref1">1</xref>]. The maldistribution of health care resources between rural and urban areas has been an obvious problem to date despite the launch of medical reforms by the government [<xref ref-type="bibr" rid="ref2">2</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. It has been reported that the nationwide hospital bed ratio in the urban population was 0.087% compared with 0.018% in the rural population. The ratio of medical professionals in the urban population was 0.1% compared with 0.016% in the rural population [<xref ref-type="bibr" rid="ref5">5</xref>], indicating that substantially more people live in rural areas but have fewer medical resources. Poor access to medical care was so common that peasants have had to spend a whole day registering and another several hours waiting to see a doctor. Some were even ignorant about their disease until they became seriously ill.</p>
      <p>Under these circumstances, the Chinese government proposed the development of telemedicine service as an approach to optimize and redistribute medical resources in remote places [<xref ref-type="bibr" rid="ref6">6</xref>]. The World Health Organization definition of telemedicine is the delivery of health care services, wherein distance is a critical factor, by all health care professionals using information and communication technologies for the exchange of valid information for the diagnosis, treatment, and prevention of diseases and injuries, research and evaluation, and for the continuing education of health care providers, all in the interest of advancing the health of individuals and their communities [<xref ref-type="bibr" rid="ref7">7</xref>]. Previous research has confirmed the advantages of telemedicine, such as saving traveling time and reducing medical expenses [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>], increasing patient satisfaction [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>], effectiveness comparable to hospital face-to-face consultation [<xref ref-type="bibr" rid="ref11">11</xref>], and improved management of chronic diseases such as diabetes and hypertension [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref12">12</xref>]. However, the effectiveness of telemedicine for the distribution of medical resources in rural China remains unclear. Guangdong Province is at the frontier of economic reform in China, and the Pearl River Delta region is more affluent than other rural areas.</p>
      <p>In this study, we present the practice of telemedicine in a tertiary hospital in Guangdong Province that provides high-quality medical services to rural areas. We will describe the application, effectiveness, and difficulties of telemedicine practice for providing health care resources from Guangzhou to rural areas of Guangdong Province.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Design and Participants</title>
        <p>The study enrolled participants who requested telemedicine consultation and medication at rural sanitary stations connected to the Department of Guangdong Online Hospital, Guangdong Second Provincial General Hospital, from June 2015 to May 2016. Each participant was informed of what telemedicine was and of the nature of the research and voluntarily signed a consent form before consultation. The participants consulted the remote medicine appliance system and registered with their demographic data including name, sex, age, telephone number, identity card number, historical medical record, and allergic history. The triage staff at the Department of Guangdong Online Hospital referred them to a relevant doctor after assessing and recording their vital signs at the rural sanitary stations. A diagnosis was provided by the doctor, and medical care was delivered to the sanitary station. The doctors prescribed medicine to the participants (medication prescription group), gave professional advice (medical advice group), or suggested that they have a face-to-face consultation with the doctors at a downtown hospital (face-to-face consultation group) depending on the participants’ diseases or syndromes. Prescribed medicines included Western medicines (Western medicine prescription group) and Chinese herbs (herb prescription group). For instance, a patient with a cough consulted with the Online Hospital at a sanitary station. The doctor diagnosed him with chronic bronchitis through inquiry, history medical record, and checking of his vital signs. The doctor prescribed medicine if he were confident of the diagnosis and considered the medicine necessary. The doctor gave professional suggestions such as the patient quit smoking and avoid allergens if he thought it was unnecessary for the patient to take medicine. However, if the doctor was unsure about the diagnosis or thought that the professional advice or medicine prescribed would not alleviate cough, he advised the patient to have a face-to-face consultation with a doctor at a downtown hospital. The communication was mainly conducted in Mandarin and Cantonese; some illiterate patients were assisted by staff at the rural sanitary stations. Satisfaction surveys were conducted immediately after the consultation, and telephone surveys on patient satisfaction, self-reported therapeutic effects, patients’ desire to revisit the Department of Guangdong Online Hospital, patients’ compliance with doctors’ advice, and self-reported difficulties with their telemedicine experience were conducted 2 to 4 weeks after the consultation (<xref ref-type="fig" rid="figure1">Figure 1</xref>). Two staff members from the department underwent advanced training to conduct telephone surveys. A full ethics review of the research protocol was conducted by the Institutional Review Board at the Guangdong Second Provincial General Hospital.</p>
        <p>This study was launched by the Department of Guangdong Online Hospital, Guangdong Second Provincial General Hospital [<xref ref-type="bibr" rid="ref13">13</xref>] the first telemedicine institution authorized by the Chinese government. The Department of Guangdong Online Hospital consisting of 24 clinics worked simultaneously with doctors from internal medicine, pediatrics, traditional Chinese medicine, dermatology, rehabilitation, and gynecology departments at the hospital. A medical technology company supported the Web-based consultation platform services including visual telephone, Web-based prescription services, electronic anatomic diagrams, triage, blood pressure and blood glucose measurement, Web-based auscultation, and geographic maps of the patients’ locations. The telemedicine network covered approximately 300 rural sanitary stations in the rural areas of Maoming, Jieyang, Zhaoqing, Huizhou, Shantou, Zhanjiang, Zhongshan, Jiangmen, Meizhou, Yunfu, Heyuan, Yangjiang, Shaoguan, Chaozhou, and Shanwei (<xref ref-type="fig" rid="figure2">Figure 2</xref> and <xref ref-type="table" rid="table1">Table 1</xref>).</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Flowchart for telemedicine consultation with Department of Guangdong Online Hopsital, Guangdong Second Provincial General Hospital.</p>
          </caption>
          <graphic xlink:href="medinform_v6i4e51_fig1.PNG" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Guangdong administrative map.</p>
          </caption>
          <graphic xlink:href="medinform_v6i4e51_fig2.PNG" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Distance to Guangzhou and population of rural regions.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="500"/>
            <col width="300"/>
            <col width="200"/>
            <thead>
              <tr valign="top">
                <td>Rural regions</td>
                <td>Distance to Guangzhou (km)</td>
                <td>Population, n</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Mao ming</td>
                <td>340.5</td>
                <td>5,817,753</td>
              </tr>
              <tr valign="top">
                <td>Jie yang</td>
                <td>430.4</td>
                <td>5,877,025</td>
              </tr>
              <tr valign="top">
                <td>Zhao qing</td>
                <td>97.1</td>
                <td>3,918,085</td>
              </tr>
              <tr valign="top">
                <td>Hui zhou</td>
                <td>144.2</td>
                <td>4,597,002</td>
              </tr>
              <tr valign="top">
                <td>Shan tou</td>
                <td>439.3</td>
                <td>5,391,028</td>
              </tr>
              <tr valign="top">
                <td>Zhan jiang</td>
                <td>416.4</td>
                <td>6,993,304</td>
              </tr>
              <tr valign="top">
                <td>Zhong shan</td>
                <td>83.4</td>
                <td>3,120,884</td>
              </tr>
              <tr valign="top">
                <td>Jiang men</td>
                <td>91.3</td>
                <td>4,448,871</td>
              </tr>
              <tr valign="top">
                <td>Mei zhou</td>
                <td>390</td>
                <td>4,240,139</td>
              </tr>
              <tr valign="top">
                <td>Yun fu</td>
                <td>143.8</td>
                <td>2,360,128</td>
              </tr>
              <tr valign="top">
                <td>He yuan</td>
                <td>199.6</td>
                <td>2,953,019</td>
              </tr>
              <tr valign="top">
                <td>Yang jiang</td>
                <td>223.6</td>
                <td>2,421,812</td>
              </tr>
              <tr valign="top">
                <td>Shao guan</td>
                <td>222.4</td>
                <td>2,826,612</td>
              </tr>
              <tr valign="top">
                <td>Chao zhou</td>
                <td>498</td>
                <td>2,669,844</td>
              </tr>
              <tr valign="top">
                <td>Shan wei</td>
                <td>274.2</td>
                <td>2,935,717</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <boxed-text id="box1" position="float">
          <title>Participants’ (medication prescription group) attitudes toward telemedicine.</title>
          <p>Name: Sex: Age:</p>
          <p>Identity number: Telephone number:</p>
          <p>Residence place: Public clinic:</p>
          <p>Please check the option that fits for you.</p>
          <p>1. What kind of medicine did you obtain from the doctors?</p>
          <p>Western medicine ( ); Chinese herbs ( )</p>
          <p>2. What was the curative effect of the drug prescribed by the doctor?</p>
          <p>Cured ( ); got better ( ); no use ( ); got worse ( )</p>
          <p>3. What is your acceptance of the medical expense?</p>
          <p>Completely acceptable ( ); mostly acceptable ( ); acceptable but somewhat expensive ( ); unacceptable due to high cost ( )</p>
          <p>4. Do you think telemedicine is useful?</p>
          <p>Very useful ( ); somewhat useful ( ); not very useful ( ); no use ( )</p>
          <p>5. Will you visit the online hospital again?</p>
          <p>Yes ( ); no ( )</p>
          <p>6. What difficulties you have had in your telemedicine experience?</p>
        </boxed-text>
      </sec>
      <sec>
        <title>Survey Instruments</title>
        <p>The survey instruments used in this study consisted of 3 evaluation charts. The charts were formulated according to the following 3 categories of service received by participants: medication prescriptions (<xref ref-type="boxed-text" rid="box1">Textbox 1</xref>), medical advice (<xref ref-type="boxed-text" rid="box2">Textbox 2</xref>), and referral to a doctor at a downtown hospital (<xref ref-type="boxed-text" rid="box3">Textbox 3</xref>). Each participant was interviewed and evaluated voluntarily according to the medical service received.</p>
        <p>The questionnaires contained the basic information of the participants. Each chart contained 5 to 6 questions focusing on opinions and attitudes about telemedicine, including effectiveness of treatment, willingness to revisit, acceptance of medical expenses, and difficulties with the telemedicine experience.</p>
        <boxed-text id="box2" position="float">
          <title>Participants’ (medical advice group) attitudes toward telemedicine.</title>
          <p>Name: Sex: Age:</p>
          <p>Identity number: Telephone number:</p>
          <p>Residence place: Public clinic:</p>
          <p>Please check the option that fits for you.</p>
          <p>1. Did you follow the doctor’s advice completely?</p>
          <p>Completely ( ); partially ( ); just listened to the advice ( )</p>
          <p>2. What are your opinions on the usefulness of the doctor’s advice?</p>
          <p>Very useful ( ); useful ( ); no use ( ); got worse ( )</p>
          <p>3. Do you think that telemedicine is useful?</p>
          <p>Very useful ( ); useful ( ); not too useful ( ); no use ( )</p>
          <p>4. Will you visit online hospital again?</p>
          <p>Yes ( ); no ( )</p>
          <p>5. What difficulties have you had in your telemedicine experience?</p>
        </boxed-text>
        <boxed-text id="box3" position="float">
          <title>Participants’ (face-to-face consultation group) compliance with Web-based physician advice.</title>
          <p>Name: Sex: Age:</p>
          <p>Identity number: Telephone number:</p>
          <p>Residence place: Public clinic:</p>
          <p>Please tick the option that fit for you.</p>
          <p>1. Did you follow the doctor’s advice to have a face-to-face consultation in a downtown hospital?</p>
          <p>Yes ( ); no ( )</p>
          <p>2. What was the doctors’ diagnosis?</p>
          <p>3. What therapy did you receive at the downtown hospital?</p>
          <p>Medicine ( ); surgery ( ); rehabilitation ( ); psychiatry ( ); others ( )</p>
          <p>4. What was the outcome of the telemedicine?</p>
          <p>Cured ( ); got better ( ); no curative effect ( ); got worse ( )</p>
          <p>5. Do you think that telemedicine is useful?</p>
          <p>Very useful ( ); useful ( ); no use ( ); got worse ( )</p>
          <p>6. Would you visit the Department of Guangdong Online Hospital again?</p>
          <p>Yes ( ); no ( )</p>
        </boxed-text>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>Five quantitative and qualitative variables were categorized and calculated according to data collected from the 15 rural regions shown in <xref ref-type="fig" rid="figure1">Figure 1</xref>. The demographic characteristic and top 10 diseases and syndrome were collected from annual surveys, whereas patient satisfaction, prescription amount (the number of times patients received prescription orders), consultation amount (the number of times they received consultations without prescriptions), and the average prescription expense were analyzed monthly. The questionnaire items about medication effectiveness, acceptance of prescription expense, attitudes toward remote medicine, and difficulties with the telemedicine experience were also investigated. The surveys were conducted by telephone. Data including patients’ demographic features, patient satisfaction, medicine effect, patients’ compliance with doctors’ advices, patients’ acceptance of prescription expense, patients’ desire to revisit the Department of Guangdong Online Hospital, the top 10 diseases and self-reported difficulties in telemedicine experience that were described in terms of frequency and percentages (n, %). The monthly average prescription expense was described using a line chart. Monthly consultation and prescription amount, as well as monthly prescriptions of Western medicine and herbs, were described using a bar chart. The age distribution of the consultation population was described using a pie chart. Statistical analysis was performed with SPSS Version 22.0 statistic software package.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Demographic Characteristics of Telemedicine Consultation</title>
        <p>From June 2015 to May 2016, approximately 67,740 participants had consultations at the Department of Guangdong Online Hospital, Guangdong Second Provincial General Hospital. Approximately 22,740 of these participants were interviewed voluntarily. The number of participants in the medical prescription group was much greater than that in the medical and face-to-face consultation groups. Women comprised majority (45,386/67,740, 67.00%) of the participants and men comprised the minority (22,354/67,740, 33.00%, <xref ref-type="table" rid="table2">Table 2</xref>). Participants between 20 and 30 years old were more inclined to use telemedicine (24,269/67,740, 35.83%) compared with the others (<xref ref-type="table" rid="table3">Table 3</xref>).</p>
      </sec>
      <sec>
        <title>Diseases, Consultations, Prescriptions, and Medicine Expenses</title>
        <sec>
          <title>Disease Spectrum</title>
          <p>The top 10 diseases included respiratory ailments, gynecological conditions, sleep disorders, and pain syndrome. The top 3 diseases and syndromes of telemedicine consultation in rural areas were upper respiratory ailments (12,371/36,311, 34.07%), laryngopharyngitis (4938/36,311, 13.60%), and menstrual disorder (4669/36,311, 12.86%), as seen in <xref ref-type="table" rid="table4">Table 4</xref>.</p>
          <table-wrap position="float" id="table2">
            <label>Table 2</label>
            <caption>
              <p>Demographic characteristics of telemedicine users (N=67,740).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="240"/>
              <col width="210"/>
              <col width="180"/>
              <col width="250"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Demographic characteristics</td>
                  <td>Medical prescription group (n=35,021)</td>
                  <td>Medical advice group (n=21,887)</td>
                  <td>Face-to-face consultation group (n=10,832)</td>
                  <td>Total</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Male, n (%)</td>
                  <td>10,059 (28.72)</td>
                  <td>8271 (37.79)</td>
                  <td>4024 (37.15)</td>
                  <td>22,354 (33.00)</td>
                </tr>
                <tr valign="top">
                  <td>Female, n (%)</td>
                  <td>24,962 (71.28)</td>
                  <td>13,616 (62.21)</td>
                  <td>6808 (62.85)</td>
                  <td>45,386 (67.00)</td>
                </tr>
                <tr valign="top">
                  <td>Age, mean (SD)</td>
                  <td>34.05 (15.45)</td>
                  <td>35.75 (20.40)</td>
                  <td>36.81 (14.72)</td>
                  <td>34.76 (17.06)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table3">
            <label>Table 3</label>
            <caption>
              <p>Age distribution of consultation population (N=67,740).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="800"/>
              <col width="200"/>
              <thead>
                <tr valign="top">
                  <td>Age (years)</td>
                  <td>n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>&#60;10</td>
                  <td>2618 (3.86)</td>
                </tr>
                <tr valign="top">
                  <td>11-20</td>
                  <td>3657 (5.40)</td>
                </tr>
                <tr valign="top">
                  <td>21-30</td>
                  <td>24,269 (35.83)</td>
                </tr>
                <tr valign="top">
                  <td>31-40</td>
                  <td>14,060 (20.76)</td>
                </tr>
                <tr valign="top">
                  <td>41-50</td>
                  <td>10,808 (15.95)</td>
                </tr>
                <tr valign="top">
                  <td>51-60</td>
                  <td>7816 (11.54)</td>
                </tr>
                <tr valign="top">
                  <td>61-70</td>
                  <td>3069 (4.53)</td>
                </tr>
                <tr valign="top">
                  <td>&#62;70</td>
                  <td>1443 (2.13)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table4">
            <label>Table 4</label>
            <caption>
              <p>Top 10 diseases and syndromes in telemedicine consultations in rural regions (N=36,311).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="100"/>
              <col width="700"/>
              <col width="200"/>
              <thead>
                <tr valign="top">
                  <td>Ranking</td>
                  <td>Disease or syndromes</td>
                  <td>n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>1</td>
                  <td>Upper respiratory infection</td>
                  <td>12,371 (34.07)</td>
                </tr>
                <tr valign="top">
                  <td>2</td>
                  <td>Laryngopharyngitis</td>
                  <td>4938 (13.60)</td>
                </tr>
                <tr valign="top">
                  <td>3</td>
                  <td>menstrual disorder</td>
                  <td>4669 (12.86)</td>
                </tr>
                <tr valign="top">
                  <td>4</td>
                  <td>Cough</td>
                  <td>3728 (10.27)</td>
                </tr>
                <tr valign="top">
                  <td>5</td>
                  <td>sleep disorder</td>
                  <td>3132 (8.63)</td>
                </tr>
                <tr valign="top">
                  <td>6</td>
                  <td>Gastritis</td>
                  <td>1969 (5.42)</td>
                </tr>
                <tr valign="top">
                  <td>7</td>
                  <td>Dyspepsia</td>
                  <td>1812 (4.99)</td>
                </tr>
                <tr valign="top">
                  <td>8</td>
                  <td>Colpitis</td>
                  <td>1400 (3.86)</td>
                </tr>
                <tr valign="top">
                  <td>9</td>
                  <td>Dysmenorrheal</td>
                  <td>1258 (3.45)</td>
                </tr>
                <tr valign="top">
                  <td>10</td>
                  <td>Osphyalgia</td>
                  <td>1034 (2.85)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <fig id="figure3" position="float">
            <label>Figure 3</label>
            <caption>
              <p>Monthly consultations and prescriptions.</p>
            </caption>
            <graphic xlink:href="medinform_v6i4e51_fig3.PNG" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
        <sec>
          <title>Consultations and Prescriptions</title>
          <p>The prescription amount (35,021) was lower than the total consultation amount (67,740) from June 2015 to May 2016, and the prescription amount was lower than the consultation amount every month (<xref ref-type="fig" rid="figure3">Figure 3</xref>). The total number of prescriptions for Western medicines (31,360) was much more than the number of prescriptions for Chinese herbs (3661) from June 2015 to May 2016, and the number of monthly prescriptions for Western medicines was much greater than that for Chinese herbs (<xref ref-type="fig" rid="figure4">Figure 4</xref>).</p>
        </sec>
        <sec>
          <title>Monthly Average Medicine Expense Per Prescription</title>
          <p>The monthly average medicine expense per prescription was lowest in June 2015 (54.84 ¥) and highest in May 2016 (77.29 ¥) but did not change substantially within a year (<xref ref-type="fig" rid="figure5">Figure 5</xref>). The annual average medicine expense per prescription was 62.9 ¥.</p>
        </sec>
      </sec>
      <sec>
        <title>Results of Telephone Surveys</title>
        <sec>
          <title>Patient Satisfaction</title>
          <p>The surveys on patient satisfaction demonstrated that most patients were very satisfied (55,687/67,740, 82.20%), whereas few were satisfied (5891/67,740, 8.70%), basically satisfied (3561/67,740, 5.26%), dissatisfied (1454/67,740, 2.15%), or had no comment (1147/67,740, 1.69%). The percentages of those who were very satisfied, satisfied, and basic satisfied in the face-to-face consultation group (10,527/10,832, 97.10%) was higher than those in the medical prescription group (33,622/35,021, 96.00%) and the medical advice group (20,990/21,887, 95.90%), as seen in <xref ref-type="table" rid="table5">Table 5</xref>.</p>
        </sec>
        <sec>
          <title>Medical Expense Acceptance</title>
          <p>Most participants perceived the telemedicine expense to be acceptable (8775/12,450, 70.50%) or mostly acceptable (2497/12,450, 20.01%) with fewer perceiving it to be acceptable but somewhat expensive (980/12,450, 7.9%) or unacceptably expensive (198/12,450, 1.6%). The percentages of those who found their expenses completely acceptable, mostly acceptable, or acceptable but somewhat expensive in the Western medicine prescription group (11,103/11,271, 98.5%) were higher than in the herbal prescription group (1149/1179, 97.46%), as seen in <xref ref-type="table" rid="table6">Table 6</xref>.</p>
        </sec>
        <sec>
          <title>Self-Reported Therapeutic Effects</title>
          <p>A majority of participants reported positive treatment outcomes (full recovery: 5008/12,450, 40.22% and recovering: 4873/12,450, 39.14%); fewer reported no effect (2153/12,450, 17.29%) or worsening conditions (416/12,450, 3.3%). The percentages of full recovery and recovery in the Western medicine prescription group (8952/11,271, 79.43%) were the same as those in the herbal prescription group (929/1179, 78.80%), as seen in <xref ref-type="table" rid="table7">Table 7</xref>.</p>
        </sec>
        <sec>
          <title>Patient Compliance</title>
          <p>Patients’ compliance with doctors’ advice included complete compliance (5430/10,290, 52.77%), partial compliance (3684/10,290, 35.80%) with doctor advice and no compliance at all (1176/10,290, 11.43%). Approximately half reported complete compliance in both the medical advice group and the face-to-face consultation group. Nearly half complied with the doctors’ advice partially and just listened to the advice without action in the medical advice group (3235/6907, 46.84%) and the face-to-face consultation group (1625/3383, 48.03%), as seen in <xref ref-type="table" rid="table8">Table 8</xref>.</p>
        </sec>
        <sec>
          <title>Patients’ Desire to Revisit the Online Hospital</title>
          <p>Approximately 89.00% (20,240/22,740) of the participants were willing to revisit the Online Hospital, whereas 10.99% (2500/22,740) would not. Most of the participants in the medical prescription group (11,078/12,450, 88.98%) would revisit it, as would those in the medical advice group (6182/6907, 89.50%) and face-to-face consultation group (2982/3383, 88.10%), however, the rest would not revisit it, as seen in <xref ref-type="table" rid="table9">Table 9</xref>.</p>
          <fig id="figure4" position="float">
            <label>Figure 4</label>
            <caption>
              <p>Monthly prescriptions for Western medicine and herbs.</p>
            </caption>
            <graphic xlink:href="medinform_v6i4e51_fig4.PNG" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
          <fig id="figure5" position="float">
            <label>Figure 5</label>
            <caption>
              <p>Monthly average prescription expenditures.</p>
            </caption>
            <graphic xlink:href="medinform_v6i4e51_fig5.PNG" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
          <table-wrap position="float" id="table5">
            <label>Table 5</label>
            <caption>
              <p>Patient satisfaction rates in the 3 groups (N=67,740).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="240"/>
              <col width="210"/>
              <col width="180"/>
              <col width="250"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Patient satisfaction</td>
                  <td>Medical prescription group (n=35,021), n (%)</td>
                  <td>Medical advice group (n=21,887), n (%)</td>
                  <td>Face-to-face consultation group (n=10,832), n (%)</td>
                  <td>Total, n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Very satisfied</td>
                  <td>28,718 (82.00)</td>
                  <td>17,838 (81.50)</td>
                  <td>9131 (84.30)</td>
                  <td>55,687 (82.21)</td>
                </tr>
                <tr valign="top">
                  <td>Satisfied</td>
                  <td>3152 (9.00)</td>
                  <td>1860 (8.50)</td>
                  <td>879 (8.11)</td>
                  <td>5891 (8.70)</td>
                </tr>
                <tr valign="top">
                  <td>Basic satisfied</td>
                  <td>1752 (5.00)</td>
                  <td>1292 (5.90)</td>
                  <td>517 (4.77)</td>
                  <td>3561 (5.26)</td>
                </tr>
                <tr valign="top">
                  <td>Unsatisfied</td>
                  <td>701 (2.0)</td>
                  <td>547 (2.5)</td>
                  <td>206 (1.90)</td>
                  <td>1454 (2.14)</td>
                </tr>
                <tr valign="top">
                  <td>No comment</td>
                  <td>698 (2.0)</td>
                  <td>350 (1.6)</td>
                  <td>99 (0.91)</td>
                  <td>1147 (1.69)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table6">
            <label>Table 6</label>
            <caption>
              <p>Annual expense acceptance (N=12,450).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="280"/>
              <col width="300"/>
              <col width="300"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Expense acceptance</td>
                  <td>Western medicine prescription group (n=11,271), n (%)</td>
                  <td>Herb prescription group (n=1179), n (%)</td>
                  <td>Total, n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Completely acceptable</td>
                  <td>7956 (70.59)</td>
                  <td>819 (69.47)</td>
                  <td>8775 (70.48)</td>
                </tr>
                <tr valign="top">
                  <td>Mostly acceptable</td>
                  <td>2262 (20.07)</td>
                  <td>235 (19.93)</td>
                  <td>2497 (20.02)</td>
                </tr>
                <tr valign="top">
                  <td>Acceptable but somewhat expensive</td>
                  <td>885 (7.85)</td>
                  <td>95 (8.06)</td>
                  <td>980 (7.9)</td>
                </tr>
                <tr valign="top">
                  <td>Unacceptable due to the high cost</td>
                  <td>168 (1.49)</td>
                  <td>30 (2.54)</td>
                  <td>198 (1.6)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table7">
            <label>Table 7</label>
            <caption>
              <p>Self-reported therapeutic effects (N=12,450).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="200"/>
              <col width="380"/>
              <col width="300"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Treatment outcome</td>
                  <td>Western medicine prescription group (n=11,271), n (%)</td>
                  <td>Herb prescription group (n=1179), n (%)</td>
                  <td>Total, n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Full recovery</td>
                  <td>4528 (40.17)</td>
                  <td>480 (40.71)</td>
                  <td>5008 (40.22)</td>
                </tr>
                <tr valign="top">
                  <td>Recovery</td>
                  <td>4424 (39.25)</td>
                  <td>449 (38.08)</td>
                  <td>4873 (39.19)</td>
                </tr>
                <tr valign="top">
                  <td>No effect</td>
                  <td>1933 (17.15)</td>
                  <td>220 (18.66)</td>
                  <td>2153 (17.29)</td>
                </tr>
                <tr valign="top">
                  <td>Worsening</td>
                  <td>386 (3.42)</td>
                  <td>30 (2.54)</td>
                  <td>416 (3.3)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table8">
            <label>Table 8</label>
            <caption>
              <p>Patient compliance with doctors’ advice (N=10,290).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="220"/>
              <col width="300"/>
              <col width="360"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Patient compliance 　</td>
                  <td>Medical advice group (n=6907), n (%)</td>
                  <td>Face-to-face consultation group (n=3383), n (%)</td>
                  <td>Total, n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Completely</td>
                  <td>3672 (53.16)</td>
                  <td>1758 (51.97)</td>
                  <td>5430 (52.77)</td>
                </tr>
                <tr valign="top">
                  <td>Partially</td>
                  <td>2442 (35.36)</td>
                  <td>1242 (36.71)</td>
                  <td>3684 (35.80)</td>
                </tr>
                <tr valign="top">
                  <td>Just listen to the advice</td>
                  <td>793 (11.48)</td>
                  <td>383 (11.32)</td>
                  <td>1176 (11.43)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table9">
            <label>Table 9</label>
            <caption>
              <p>Patients’ desire to revisit the Department of Guangdong Online Hospital (N=22,740).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="300"/>
              <col width="200"/>
              <col width="180"/>
              <col width="200"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Whether to revisit</td>
                  <td>Medical prescription group (n=12,450), n (%)</td>
                  <td>Medical advice group (n=6905), n (%)</td>
                  <td>Face-to-face consultation group (n=3385), n (%)</td>
                  <td>Total, n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Yes, I will revisit the online hospital</td>
                  <td>11,078 (88.98)</td>
                  <td>6180 (89.50)</td>
                  <td>2982 (88.)</td>
                  <td>20,240 (89.01)</td>
                </tr>
                <tr valign="top">
                  <td>No, I will not revisit the online hospital</td>
                  <td>1372 (11.02)</td>
                  <td>725 (10.50)</td>
                  <td>403 (11.90)</td>
                  <td>2500 (10.99)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <table-wrap position="float" id="table10">
            <label>Table 10</label>
            <caption>
              <p>Self-reported difficulties with the telemedicine experience (N=22,740).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="880"/>
              <col width="120"/>
              <thead>
                <tr valign="top">
                  <td>Difficulties in telemedicine experience</td>
                  <td>n (%)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Language barrier</td>
                  <td>3708 (16.30)</td>
                </tr>
                <tr valign="top">
                  <td>Tiring commute</td>
                  <td>2068 (9.08)</td>
                </tr>
                <tr valign="top">
                  <td>Transportation inconvenience</td>
                  <td>4670 (20.50)</td>
                </tr>
                <tr valign="top">
                  <td>Medication shortages</td>
                  <td>1282 (5.64)</td>
                </tr>
                <tr valign="top">
                  <td>Unstable internet connection</td>
                  <td>3820 (16.80)</td>
                </tr>
                <tr valign="top">
                  <td>Poor computer skills</td>
                  <td>4980 (21.90)</td>
                </tr>
                <tr valign="top">
                  <td>Family care burden</td>
                  <td>679 (3.0)</td>
                </tr>
                <tr valign="top">
                  <td>Medical hardware shortage</td>
                  <td>1177 (5.18)</td>
                </tr>
                <tr valign="top">
                  <td>Others unclassified difficulties</td>
                  <td>356 (1.6)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
        <sec>
          <title>Self-Reported Difficulties With Telemedicine Experience</title>
          <p>The top 3 self-reported difficulties by the participants included poor computer skills (4980/22,740, 21.90%), transportation inconvenience (4670/22,740, 20.50%), and an unstable internet connection (3820/22,740, 16.80%), whereas they also complained about medical hardware and medicine shortages, language barriers, and tiring commute (<xref ref-type="table" rid="table10">Table 10</xref>).</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>Data obtained in previous studies indicated that telemedicine could significantly improve patient satisfaction, save costs and time compared with conventional means, and increase access to health care resources for rural patients [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref14">14</xref>]. The results of our study were almost consistent with the findings of previous research but presented more problem-oriented and detailed results. In this study, we found that telemedicine has a wide disease spectrum, similar to ordinary medicine in China. It saves costs, has high patient satisfaction and price acceptability, and can relieve disease and syndromes. However, challenges such as poor computer skills, transportation inconvenience, language barriers, unstable internet connection, and medication and hardware shortage at sanitary stations need to be resolved.</p>
      </sec>
      <sec>
        <title>Demographic Characteristics of Telemedicine Consultation</title>
        <p>We noted some demographic characteristics concerning the inclination to use telemedicine. Participants between 20 and 40 years old accounted for more than half of the consultation, and women were more inclined than men to use the internet to obtain medical services, which was not reported previously. These findings indicated that people in this age spectrum have more open attitudes toward new ways of receiving health care. They have better computer skills and language abilities than seniors and the young, which might be the reasons for the inclination. The rural migrant workers account for most of the migrant population in China. The percentages of rural female and male migrant workers were 47% and 53%, respectively [<xref ref-type="bibr" rid="ref15">15</xref>]. This means that more female farmers stay at home compared with men. Women were the main users of telemedicine because their spouses were working in the cities which is a characteristic pattern in China.</p>
      </sec>
      <sec>
        <title>Telemedicine Practice in Rural Areas</title>
        <sec>
          <title>Disease Spectrum</title>
          <p>Our research found that the top 3 diseases and syndromes treated by telemedicine were mainly upper respiratory diseases, Laryngopharyngitis and menstrual disorder, a pattern comparable with that reported in the health medical yearbook of China in 2009 [<xref ref-type="bibr" rid="ref16">16</xref>]. This finding could guide disease prevention strategies in the rural regions of Guangdong Province.</p>
        </sec>
        <sec>
          <title>Consultation and Prescription</title>
          <p>Monthly consultation and prescription showed an abnormal distribution. The consultation services included prescriptions and advices. Some of the participants obtained prescriptions, whereas the others received professional advice from doctors. The number of prescriptions was lower than the number of visits every month. Both Western medicine and herbs were prescribed with the former prescribed much more than the latter, expanding the range of telemedicine treatment reported previously [<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref19">19</xref>]. Traditional Chinese medicine (TCM) has had deep and wide grassroots following in rural China [<xref ref-type="bibr" rid="ref20">20</xref>] and still plays an important role there. Statistics indicate that the number of consultations at rural sanitary stations for TCM service was 51,707,000 in 2012 [<xref ref-type="bibr" rid="ref21">21</xref>]. Chinese herbs were undoubtedly popular in telemedicine practice in rural areas. The TCM services were delivered from a tertiary hospital to sanitary stations via telemedicine. This study, therefore, provided a good example of a combined treatment using both Western medicine and herbs for dealing with health problems by telemedicine in rural regions.</p>
        </sec>
        <sec>
          <title>Prescription Expenses</title>
          <p>We calculated that the annual average prescription price was 62.9 ¥, which was much lower than the average outpatient prescription expenditure of 291.3 ¥ in tertiary public hospitals and 189.5 ¥ in secondary public hospitals according to the latest data from January 2016 to October 2016 from the website of the National Health and Family Planning Commission of the People’s Republic of China [<xref ref-type="bibr" rid="ref22">22</xref>]. Therefore, the results indicated that telemedicine could save costs compared with conventional medicine and serve as a feasible solution to solve the problem of health care costs.</p>
        </sec>
      </sec>
      <sec>
        <title>Effectiveness and Challenges</title>
        <sec>
          <title>Effectiveness</title>
          <p>Telemedicine had a high patient satisfaction rate. A survey of patient satisfaction was conducted immediately after the consultations. Approximately vast majority (55,687/67,740, 82.21%) of the participants were very satisfied with their telemedicine experience, whereas minority (1454/67,740, 2.14%) was not satisfied. The results of this research were comparable with those of a previous study that found a good patient satisfaction rate with telemedicine in rural regions [<xref ref-type="bibr" rid="ref10">10</xref>]. A survey on patient satisfaction with conventional medicine among peasants by the statistics center of the National Health and Family Planning Commission demonstrated that a high proportion of peasants were satisfied (80%), whereas a small fraction was unsatisfied (1.5%), which was lower than the patient satisfaction rate in telemedicine practice [<xref ref-type="bibr" rid="ref23">23</xref>]. This study indicated that the telemedicine prescription expense was highly acceptable by rural patients with a rate of acceptance (11,272/12,450, 90.50%) that was higher than that for conventional medicine in rural areas (40%) [<xref ref-type="bibr" rid="ref23">23</xref>]. The consultation was free, and patients only had to pay for medication, which was different from face-to-face consultations in hospitals in China. Our survey results implied that a large proportion of participants believed that telemedicine could save costs. Because the annual average prescription expense was much lower than the outpatient prescription expense assessed by the National Bureau of Statistics of China [<xref ref-type="bibr" rid="ref22">22</xref>], we determined that telemedicine could save costs, which was consistent with Thaker’s findings [<xref ref-type="bibr" rid="ref24">24</xref>], but diverged from those of Upatising [<xref ref-type="bibr" rid="ref25">25</xref>]. Our study indicated that telemedicine could help alleviate or even cure diseases or syndromes, thus improving treatment outcomes, which were consistent with the findings of Tso [<xref ref-type="bibr" rid="ref26">26</xref>] and Muller [<xref ref-type="bibr" rid="ref27">27</xref>]. We also found that approximately 89% of the participants would like to revisit the Department of Guangdong Online Hospital. The number of participants who reported complete adherence to physician’s advice was almost equal to that of those reporting partial compliance and no compliance, which was consistent with Bateman’s research [<xref ref-type="bibr" rid="ref28">28</xref>]. The findings of our study indicated that telemedicine was popular but did not have a good compliance. Therefore, more research and efforts are needed to improve patient compliance.</p>
        </sec>
        <sec>
          <title>Challenges</title>
          <p>We also assessed the difficulties associated with the telemedicine experience. Opinions from 22,740 participants on the problems they encountered and included poor patient computer skills, transportation problems, an unstable internet connection, and language communication barriers. The percentage of the peasants who were illiterate and had less than a middle school education was 91.7% [<xref ref-type="bibr" rid="ref15">15</xref>]; therefore, acquisition of computer skills and Mandarin or Cantonese would undoubtedly be hardship for them, especially for the seniors. The older participants tended to consider poor computer skills and poor oral expression and understanding of Mandarin, which were quite different from their local dialects, as the biggest barriers in their telemedicine experiences; as a result, in most cases, they needed assistance from the sanitary station. The participants also complained of the inconvenience of traveling several miles without public transportation to the downtown hospitals. Some complained of an unstable internet connection with intermittent visual and auditory signals hindering smooth communication with doctors. Some complained of exhaustive journeys from their home to sanitary station without public transportation. The participants, especially women, mentioned that no one could take care of their children, parents, farmland, and livestock if they traveled downtown for telemedicine services. Some complained that the sanitary stations lacked the medicines prescribed by the doctors, requiring them to seek substitute medications or return home empty handed. Some also complained that the pharmacies lacked the usual medical devices, such as a hematomanometer and glucose meter. This research was the first study to our knowledge to investigate the difficulties with telemedicine experience for people in rural regions in China; it could thus provide useful guidance for future telemedicine practice in rural areas.</p>
        </sec>
      </sec>
      <sec>
        <title>Background on Telemedicine Practice in Rural China</title>
        <p>The maldistribution of medicine and hygiene resources between rural and urban regions has been evident despite several stages of medical reforms initiated in 1985. The rural population accounted for a large portion of the population but had fewer medical resources of both medical institutions and staffs than people in cities. The statistics reveal that the total number of people diagnosed and treated in medical and hygiene institutions in China was 64.2 billion, an increase of 2%, and the number of people in hospitals was 26.3 billion, an increase of 5%, but in grass-root medical institutes, the number was 35.6 billion, a decrease of 1% compared with the same period in 2016 [<xref ref-type="bibr" rid="ref29">29</xref>]. This implies that a large number of rural people would seek health care from urban hospitals but not in their places of residential areas. As a result, the Chinese government launched official documents requiring and advocating telemedicine as an important approach for solving medical resource inequality between urban and rural regions and facilitate the ability of rural people to obtain medical services in their areas through local medicine and hygiene administration departments to resolve difficulties in access to better and sufficient medical services for rural residents [<xref ref-type="bibr" rid="ref6">6</xref>]. The Department of Guangdong Online Hospital, Guangdong Second Provincial General Hospital, the first remote medical institution authorized by the National Health and Family Planning Commission, has endeavored to deliver health care to rural regions through telemedicine practice on which our research was based, indicating that adding telemedicine to rural sanitary stations was a feasible way to solve difficulties in access to high-quality medical services in tertiary hospitals for rural residents.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>The results of this study could guide further promotion and advocacy of telemedicine for delivering better medical services from larger cities to remote and rural regions in China and other developing countries. However, some limitations are worth noting. Some of the participants could not be contacted for follow-up telephone interviews because of wrong telephone numbers or their refusal to answer questions.</p>
      </sec>
      <sec>
        <title>Conclusions and Future Directions</title>
        <p>Telemedicine has a wide disease spectrum similar to that addressed by ordinary medicine in China. It could save costs, provide high patient satisfaction, popularity and price acceptance, and help cure or relieve diseases and syndromes. However, problems remain that must be resolved, including poor computer skills, transportation inconvenience, language communication barriers, unstable internet connection, and medicine and hardware shortage at sanitary stations. Telemedicine could serve as a feasible approach to addressing the maldistribution of health care resources in rural China. The results could guide further promotion and advocacy of telemedicine practice in rural regions of China and other developing countries. Future research should focus on providing a smooth and stable telemedicine network, resolving transportation inconvenience, improving patient compliance and helping the elderly obtain telemedicine services in rural regions.</p>
      </sec>
    </sec>
  </body>
  <back>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">TCM</term>
          <def>
            <p>traditional Chinese medicine</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>We thank the Department of Guangdong Online Hospital, Guangdong Second Provincial General Hospital for their support of this research.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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