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Disease diagnosis in primary care in Uganda
BACKGROUND: The overall burden of disease (BOD) especially for infectious diseases is higher in Sub-Saharan Africa than other regions of the world. Existing data collected through the Health Management Information System (HMIS) may not be optimal to measure BOD. The Infectious Diseases Capacity Buil...
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/PMC4288627/ https://www.ncbi.nlm.nih.gov/pubmed/25298081 http://dx.doi.org/10.1186/1471-2296-15-165 |
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author | Mbonye, Martin Kayitale Burnett, Sarah M Colebunders, Robert Naikoba, Sarah Van Geertruyden, Jean-Pierre Weaver, Marcia R Ronald, Allan |
author_facet | Mbonye, Martin Kayitale Burnett, Sarah M Colebunders, Robert Naikoba, Sarah Van Geertruyden, Jean-Pierre Weaver, Marcia R Ronald, Allan |
author_sort | Mbonye, Martin Kayitale |
collection | PubMed |
description | BACKGROUND: The overall burden of disease (BOD) especially for infectious diseases is higher in Sub-Saharan Africa than other regions of the world. Existing data collected through the Health Management Information System (HMIS) may not be optimal to measure BOD. The Infectious Diseases Capacity Building Evaluation (IDCAP) cooperated with the Ugandan Ministry of Health to improve the quality of HMIS data. We describe diagnoses with associated clinical assessments and laboratory investigations of outpatients attending primary care in Uganda. METHODS: IDCAP supported HMIS data collection at 36 health center IVs in Uganda for five months (November 2009 to March 2010) prior to implementation of the IDCAP interventions. Descriptive analyses were performed on a cross-sectional dataset of 209,734 outpatient visits during this period. RESULTS: Over 500 illnesses were diagnosed. Infectious diseases accounted for 76.3% of these and over 30% of visits resulted in multiple diagnoses. Malaria (48.3%), cough/cold (19.4%), and intestinal worms (6.6%) were the most frequently diagnosed illnesses. Body weight was recorded for 36.8% of patients and less than 10% had other clinical assessments recorded. Malaria smears (64.2%) and HIV tests (12.2%) accounted for the majority of 84,638 laboratory tests ordered. Fewer than 30% of patients for whom a laboratory investigation was available to confirm the clinical impression had the specific test performed. CONCLUSIONS: We observed a broad range of diagnoses, a high percentage of multiple diagnoses including true co-morbidities, and underutilization of laboratory support. This emphasizes the complexity of illnesses to be addressed by primary healthcare workers. An improved HMIS collecting timely, quality data is needed. This would adequately describe the burden of disease and processes of care at primary care level, enable appropriate national guidelines, programs and policies and improve accountability for the quality of care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2296-15-165) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4288627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42886272015-01-11 Disease diagnosis in primary care in Uganda Mbonye, Martin Kayitale Burnett, Sarah M Colebunders, Robert Naikoba, Sarah Van Geertruyden, Jean-Pierre Weaver, Marcia R Ronald, Allan BMC Fam Pract Research Article BACKGROUND: The overall burden of disease (BOD) especially for infectious diseases is higher in Sub-Saharan Africa than other regions of the world. Existing data collected through the Health Management Information System (HMIS) may not be optimal to measure BOD. The Infectious Diseases Capacity Building Evaluation (IDCAP) cooperated with the Ugandan Ministry of Health to improve the quality of HMIS data. We describe diagnoses with associated clinical assessments and laboratory investigations of outpatients attending primary care in Uganda. METHODS: IDCAP supported HMIS data collection at 36 health center IVs in Uganda for five months (November 2009 to March 2010) prior to implementation of the IDCAP interventions. Descriptive analyses were performed on a cross-sectional dataset of 209,734 outpatient visits during this period. RESULTS: Over 500 illnesses were diagnosed. Infectious diseases accounted for 76.3% of these and over 30% of visits resulted in multiple diagnoses. Malaria (48.3%), cough/cold (19.4%), and intestinal worms (6.6%) were the most frequently diagnosed illnesses. Body weight was recorded for 36.8% of patients and less than 10% had other clinical assessments recorded. Malaria smears (64.2%) and HIV tests (12.2%) accounted for the majority of 84,638 laboratory tests ordered. Fewer than 30% of patients for whom a laboratory investigation was available to confirm the clinical impression had the specific test performed. CONCLUSIONS: We observed a broad range of diagnoses, a high percentage of multiple diagnoses including true co-morbidities, and underutilization of laboratory support. This emphasizes the complexity of illnesses to be addressed by primary healthcare workers. An improved HMIS collecting timely, quality data is needed. This would adequately describe the burden of disease and processes of care at primary care level, enable appropriate national guidelines, programs and policies and improve accountability for the quality of care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2296-15-165) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-08 /pmc/articles/PMC4288627/ /pubmed/25298081 http://dx.doi.org/10.1186/1471-2296-15-165 Text en © Mbonye et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Research Article Mbonye, Martin Kayitale Burnett, Sarah M Colebunders, Robert Naikoba, Sarah Van Geertruyden, Jean-Pierre Weaver, Marcia R Ronald, Allan Disease diagnosis in primary care in Uganda |
title | Disease diagnosis in primary care in Uganda |
title_full | Disease diagnosis in primary care in Uganda |
title_fullStr | Disease diagnosis in primary care in Uganda |
title_full_unstemmed | Disease diagnosis in primary care in Uganda |
title_short | Disease diagnosis in primary care in Uganda |
title_sort | disease diagnosis in primary care in uganda |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288627/ https://www.ncbi.nlm.nih.gov/pubmed/25298081 http://dx.doi.org/10.1186/1471-2296-15-165 |
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