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Diabetic Personal Health Record: A Systematic Review Article
BACKGROUND: Diabetes disease is one of the 4 main types of non-communicable diseases. No research has been conducted in order to identify data items for Diabetic Personal Health Record (DPHR), in Iran. This study, with the aim of systematically developing the DPHR was done to supply ultimately the c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5182247/ https://www.ncbi.nlm.nih.gov/pubmed/28032056 |
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author | AZIZI, Amirabbas ABOUTORABI, Robab MAZLOUM-KHORASANI, Zahra HOSEINI, Benyamin TARA, Mahmood |
author_facet | AZIZI, Amirabbas ABOUTORABI, Robab MAZLOUM-KHORASANI, Zahra HOSEINI, Benyamin TARA, Mahmood |
author_sort | AZIZI, Amirabbas |
collection | PubMed |
description | BACKGROUND: Diabetes disease is one of the 4 main types of non-communicable diseases. No research has been conducted in order to identify data items for Diabetic Personal Health Record (DPHR), in Iran. This study, with the aim of systematically developing the DPHR was done to supply ultimately the country with a national model through Delphi method. METHODS: We conducted a systematic review of the literature using the following electronic databases: PubMed, Web of sciences, Scopus, Science Direct, and ACM digital library. The year of the study included the obtained articles was 2013. We used a 3-step method to identify studies related to DPHR. Study selection processes were performed by two reviewers independently. The eligible studies were included in this review. Quality of studies was assessed using a mixed approach scoring system. Reviewers used 2-step method for the validation of the final DPHR model. RESULTS: Initially, 2011 papers were returned from online databases and 186 studies from gray literature search. After removing duplicates, study screening, and applying inclusion and exclusion criteria, 129 studies were eligible for further full-text review. Considering the full-text review, 34 studies were identified for final review. Given the content of selected studies, we determined seven main classes of DPHR. The highest score belongs to home monitoring data class by mean of 19.83, and the lowest was general data class by mean of 3.89. CONCLUSION: Together with representative sample of endocrinologist in Iran achieved consensus on a DPHR model to improve self-care for diabetic patients and to facilitate physician decision making. |
format | Online Article Text |
id | pubmed-5182247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-51822472016-12-28 Diabetic Personal Health Record: A Systematic Review Article AZIZI, Amirabbas ABOUTORABI, Robab MAZLOUM-KHORASANI, Zahra HOSEINI, Benyamin TARA, Mahmood Iran J Public Health Review Article BACKGROUND: Diabetes disease is one of the 4 main types of non-communicable diseases. No research has been conducted in order to identify data items for Diabetic Personal Health Record (DPHR), in Iran. This study, with the aim of systematically developing the DPHR was done to supply ultimately the country with a national model through Delphi method. METHODS: We conducted a systematic review of the literature using the following electronic databases: PubMed, Web of sciences, Scopus, Science Direct, and ACM digital library. The year of the study included the obtained articles was 2013. We used a 3-step method to identify studies related to DPHR. Study selection processes were performed by two reviewers independently. The eligible studies were included in this review. Quality of studies was assessed using a mixed approach scoring system. Reviewers used 2-step method for the validation of the final DPHR model. RESULTS: Initially, 2011 papers were returned from online databases and 186 studies from gray literature search. After removing duplicates, study screening, and applying inclusion and exclusion criteria, 129 studies were eligible for further full-text review. Considering the full-text review, 34 studies were identified for final review. Given the content of selected studies, we determined seven main classes of DPHR. The highest score belongs to home monitoring data class by mean of 19.83, and the lowest was general data class by mean of 3.89. CONCLUSION: Together with representative sample of endocrinologist in Iran achieved consensus on a DPHR model to improve self-care for diabetic patients and to facilitate physician decision making. Tehran University of Medical Sciences 2016-11 2016-11 /pmc/articles/PMC5182247/ /pubmed/28032056 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Review Article AZIZI, Amirabbas ABOUTORABI, Robab MAZLOUM-KHORASANI, Zahra HOSEINI, Benyamin TARA, Mahmood Diabetic Personal Health Record: A Systematic Review Article |
title | Diabetic Personal Health Record: A Systematic Review Article |
title_full | Diabetic Personal Health Record: A Systematic Review Article |
title_fullStr | Diabetic Personal Health Record: A Systematic Review Article |
title_full_unstemmed | Diabetic Personal Health Record: A Systematic Review Article |
title_short | Diabetic Personal Health Record: A Systematic Review Article |
title_sort | diabetic personal health record: a systematic review article |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5182247/ https://www.ncbi.nlm.nih.gov/pubmed/28032056 |
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