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Estimating the coverage of mental health programmes: a systematic review
Background The large treatment gap for people suffering from mental disorders has led to initiatives to scale up mental health services. In order to track progress, estimates of programme coverage, and changes in coverage over time, are needed. Methods Systematic review of mental health programme ev...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997372/ https://www.ncbi.nlm.nih.gov/pubmed/24760874 http://dx.doi.org/10.1093/ije/dyt191 |
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author | De Silva, Mary J Lee, Lucy Fuhr, Daniela C Rathod, Sujit Chisholm, Dan Schellenberg, Joanna Patel, Vikram |
author_facet | De Silva, Mary J Lee, Lucy Fuhr, Daniela C Rathod, Sujit Chisholm, Dan Schellenberg, Joanna Patel, Vikram |
author_sort | De Silva, Mary J |
collection | PubMed |
description | Background The large treatment gap for people suffering from mental disorders has led to initiatives to scale up mental health services. In order to track progress, estimates of programme coverage, and changes in coverage over time, are needed. Methods Systematic review of mental health programme evaluations that assess coverage, measured either as the proportion of the target population in contact with services (contact coverage) or as the proportion of the target population who receive appropriate and effective care (effective coverage). We performed a search of electronic databases and grey literature up to March 2013 and contacted experts in the field. Methods to estimate the numerator (service utilization) and the denominator (target population) were reviewed to explore methods which could be used in programme evaluations. Results We identified 15 735 unique records of which only seven met the inclusion criteria. All studies reported contact coverage. No study explicitly measured effective coverage, but it was possible to estimate this for one study. In six studies the numerator of coverage, service utilization, was estimated using routine clinical information, whereas one study used a national community survey. The methods for estimating the denominator, the population in need of services, were more varied and included national prevalence surveys case registers, and estimates from the literature. Conclusions Very few coverage estimates are available. Coverage could be estimated at low cost by combining routine programme data with population prevalence estimates from national surveys. |
format | Online Article Text |
id | pubmed-3997372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39973722014-05-12 Estimating the coverage of mental health programmes: a systematic review De Silva, Mary J Lee, Lucy Fuhr, Daniela C Rathod, Sujit Chisholm, Dan Schellenberg, Joanna Patel, Vikram Int J Epidemiol Mental Health Reviews Background The large treatment gap for people suffering from mental disorders has led to initiatives to scale up mental health services. In order to track progress, estimates of programme coverage, and changes in coverage over time, are needed. Methods Systematic review of mental health programme evaluations that assess coverage, measured either as the proportion of the target population in contact with services (contact coverage) or as the proportion of the target population who receive appropriate and effective care (effective coverage). We performed a search of electronic databases and grey literature up to March 2013 and contacted experts in the field. Methods to estimate the numerator (service utilization) and the denominator (target population) were reviewed to explore methods which could be used in programme evaluations. Results We identified 15 735 unique records of which only seven met the inclusion criteria. All studies reported contact coverage. No study explicitly measured effective coverage, but it was possible to estimate this for one study. In six studies the numerator of coverage, service utilization, was estimated using routine clinical information, whereas one study used a national community survey. The methods for estimating the denominator, the population in need of services, were more varied and included national prevalence surveys case registers, and estimates from the literature. Conclusions Very few coverage estimates are available. Coverage could be estimated at low cost by combining routine programme data with population prevalence estimates from national surveys. Oxford University Press 2014-04 2014-04-22 /pmc/articles/PMC3997372/ /pubmed/24760874 http://dx.doi.org/10.1093/ije/dyt191 Text en Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2014. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Mental Health Reviews De Silva, Mary J Lee, Lucy Fuhr, Daniela C Rathod, Sujit Chisholm, Dan Schellenberg, Joanna Patel, Vikram Estimating the coverage of mental health programmes: a systematic review |
title | Estimating the coverage of mental health programmes: a systematic review |
title_full | Estimating the coverage of mental health programmes: a systematic review |
title_fullStr | Estimating the coverage of mental health programmes: a systematic review |
title_full_unstemmed | Estimating the coverage of mental health programmes: a systematic review |
title_short | Estimating the coverage of mental health programmes: a systematic review |
title_sort | estimating the coverage of mental health programmes: a systematic review |
topic | Mental Health Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997372/ https://www.ncbi.nlm.nih.gov/pubmed/24760874 http://dx.doi.org/10.1093/ije/dyt191 |
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