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Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial
BACKGROUND: Strict compliance with prescribed medication is the key to reducing relapses in schizophrenia. As villagers in China lack regular access to psychiatrists to supervise compliance, we propose to train village ‘doctors’ (i.e., villagers with basic medical training and currently operating in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929227/ https://www.ncbi.nlm.nih.gov/pubmed/24433461 http://dx.doi.org/10.1186/1748-5908-9-13 |
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author | Gong, Wenjie Xu, Dong Zhou, Liang Brown III, Henry Shelton Smith, Kirk L Xiao, Shuiyuan |
author_facet | Gong, Wenjie Xu, Dong Zhou, Liang Brown III, Henry Shelton Smith, Kirk L Xiao, Shuiyuan |
author_sort | Gong, Wenjie |
collection | PubMed |
description | BACKGROUND: Strict compliance with prescribed medication is the key to reducing relapses in schizophrenia. As villagers in China lack regular access to psychiatrists to supervise compliance, we propose to train village ‘doctors’ (i.e., villagers with basic medical training and currently operating in villages across China delivering basic clinical and preventive care) to manage rural patients with schizophrenia with respect to compliance and monitoring symptoms. We hypothesize that with the necessary training and proper oversight, village doctors can significantly improve drug compliance of villagers with schizophrenia. METHODS/DESIGN: We will conduct a cluster randomized controlled trial in 40 villages in Liuyang, Hunan Province, China, home to approximately 400 patients with schizophrenia. Half of the villages will be randomized into the treatment group (village doctor, or VD model) wherein village doctors who have received training in a schizophrenia case management protocol will manage case records, supervise drug taking, educate patients and families on schizophrenia and its treatment, and monitor patients for signs of relapse in order to arrange prompt referral. The other 20 villages will be assigned to the control group (case as usual, or CAU model) wherein patients will be visited by psychiatrists every two months and receive free antipsychotic medications under an on-going government program, Project 686. These control patients will receive no other management or follow up from health workers. A baseline survey will be conducted before the intervention to gather data on patient’s socio-economic status, drug compliance history, and clinical and health outcome measures. Data will be re-collected 6 and 12 months into the intervention. A difference-in-difference regression model will be used to detect the program effect on drug compliance and other outcome measures. A cost-effectiveness analysis will also be conducted to compare the value of the VD model to that of the CAU group. DISCUSSION/IMPLICATIONS: Lack of specialists is a common problem in resource-scarce areas in China and other developing countries. The results of this experiment will provide high level evidence on the role of health workers with relatively limited medical training in managing severe psychiatric disease and other chronic conditions in developing countries. TRIAL REGISTRATION: ChiCTR-TRC-13003263. |
format | Online Article Text |
id | pubmed-3929227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39292272014-03-05 Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial Gong, Wenjie Xu, Dong Zhou, Liang Brown III, Henry Shelton Smith, Kirk L Xiao, Shuiyuan Implement Sci Study Protocol BACKGROUND: Strict compliance with prescribed medication is the key to reducing relapses in schizophrenia. As villagers in China lack regular access to psychiatrists to supervise compliance, we propose to train village ‘doctors’ (i.e., villagers with basic medical training and currently operating in villages across China delivering basic clinical and preventive care) to manage rural patients with schizophrenia with respect to compliance and monitoring symptoms. We hypothesize that with the necessary training and proper oversight, village doctors can significantly improve drug compliance of villagers with schizophrenia. METHODS/DESIGN: We will conduct a cluster randomized controlled trial in 40 villages in Liuyang, Hunan Province, China, home to approximately 400 patients with schizophrenia. Half of the villages will be randomized into the treatment group (village doctor, or VD model) wherein village doctors who have received training in a schizophrenia case management protocol will manage case records, supervise drug taking, educate patients and families on schizophrenia and its treatment, and monitor patients for signs of relapse in order to arrange prompt referral. The other 20 villages will be assigned to the control group (case as usual, or CAU model) wherein patients will be visited by psychiatrists every two months and receive free antipsychotic medications under an on-going government program, Project 686. These control patients will receive no other management or follow up from health workers. A baseline survey will be conducted before the intervention to gather data on patient’s socio-economic status, drug compliance history, and clinical and health outcome measures. Data will be re-collected 6 and 12 months into the intervention. A difference-in-difference regression model will be used to detect the program effect on drug compliance and other outcome measures. A cost-effectiveness analysis will also be conducted to compare the value of the VD model to that of the CAU group. DISCUSSION/IMPLICATIONS: Lack of specialists is a common problem in resource-scarce areas in China and other developing countries. The results of this experiment will provide high level evidence on the role of health workers with relatively limited medical training in managing severe psychiatric disease and other chronic conditions in developing countries. TRIAL REGISTRATION: ChiCTR-TRC-13003263. BioMed Central 2014-01-16 /pmc/articles/PMC3929227/ /pubmed/24433461 http://dx.doi.org/10.1186/1748-5908-9-13 Text en Copyright © 2014 Gong et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Gong, Wenjie Xu, Dong Zhou, Liang Brown III, Henry Shelton Smith, Kirk L Xiao, Shuiyuan Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
title | Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
title_full | Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
title_fullStr | Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
title_full_unstemmed | Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
title_short | Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
title_sort | village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929227/ https://www.ncbi.nlm.nih.gov/pubmed/24433461 http://dx.doi.org/10.1186/1748-5908-9-13 |
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