A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.

<h4>Introduction</h4>Malaria, pneumonia and diarrhea are leading causes of death in young children in Uganda. Between 50-60% of sick children receive treatment from the private sector, especially drug shops. There is an urgent need to improve quality of care and regulation of private dru...

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Main Authors: Denise Lynn Buchner, Freddy Eric Kitutu, Dónall Eoin Cross, Esther Nakamoga, Phyllis Awor
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0209641
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spelling doaj-6dfa017aeed44a03afbf79f8ed9eabfb2021-03-04T10:38:16ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01141e020964110.1371/journal.pone.0209641A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.Denise Lynn BuchnerFreddy Eric KitutuDónall Eoin CrossEsther NakamogaPhyllis Awor<h4>Introduction</h4>Malaria, pneumonia and diarrhea are leading causes of death in young children in Uganda. Between 50-60% of sick children receive treatment from the private sector, especially drug shops. There is an urgent need to improve quality of care and regulation of private drug shops in Uganda. This study was conducted to determine the distribution, the licensing status and characteristics of drug shops in four sub-districts of Kamuli district.<h4>Methods</h4>This study was part of a pre-post cross sectional study that examined the implementation of an integrated Community Case Management (iCCM) intervention for common childhood illness in rural private drug shops in Kamuli District in Eastern Uganda. This mapping exercise used a snowball sampling technique to identify licensed and unlicensed drug shops and collect information about their characteristics. Data were collected using a questionnaire. GPS data were collected for all drug shops.<h4>Analysis</h4>Quantitative data were analyzed using SPSS for descriptive statistics. Open ended questions were entered into NVivo 10 and analyzed using thematic analysis strategies.<h4>Results</h4>In total, 215 drug shops in 284 villages were located. Of these, 123 (57%) were open and consented to an interview. Only 12 (10%) drug shops were licensed, 93 (76%) were unlicensed, and the licensing status of 18 (15%) was unknown. Most respondents were the owner of the drug shop (88%); most drug sellers reported their qualification as nursing assistants (70%). Drug sellers reported licensing fees and costs of contracting an "in-charge" as barriers to licensing. Nearly all drug shops sold drugs for malaria (91%) and antibiotics (79%).https://doi.org/10.1371/journal.pone.0209641
collection DOAJ
language English
format Article
sources DOAJ
author Denise Lynn Buchner
Freddy Eric Kitutu
Dónall Eoin Cross
Esther Nakamoga
Phyllis Awor
spellingShingle Denise Lynn Buchner
Freddy Eric Kitutu
Dónall Eoin Cross
Esther Nakamoga
Phyllis Awor
A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.
PLoS ONE
author_facet Denise Lynn Buchner
Freddy Eric Kitutu
Dónall Eoin Cross
Esther Nakamoga
Phyllis Awor
author_sort Denise Lynn Buchner
title A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.
title_short A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.
title_full A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.
title_fullStr A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.
title_full_unstemmed A cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural Eastern Uganda to inform an iCCM intervention to improve health outcomes for children under five years.
title_sort cross-sectional study to identify the distribution and characteristics of licensed and unlicensed private drug shops in rural eastern uganda to inform an iccm intervention to improve health outcomes for children under five years.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description <h4>Introduction</h4>Malaria, pneumonia and diarrhea are leading causes of death in young children in Uganda. Between 50-60% of sick children receive treatment from the private sector, especially drug shops. There is an urgent need to improve quality of care and regulation of private drug shops in Uganda. This study was conducted to determine the distribution, the licensing status and characteristics of drug shops in four sub-districts of Kamuli district.<h4>Methods</h4>This study was part of a pre-post cross sectional study that examined the implementation of an integrated Community Case Management (iCCM) intervention for common childhood illness in rural private drug shops in Kamuli District in Eastern Uganda. This mapping exercise used a snowball sampling technique to identify licensed and unlicensed drug shops and collect information about their characteristics. Data were collected using a questionnaire. GPS data were collected for all drug shops.<h4>Analysis</h4>Quantitative data were analyzed using SPSS for descriptive statistics. Open ended questions were entered into NVivo 10 and analyzed using thematic analysis strategies.<h4>Results</h4>In total, 215 drug shops in 284 villages were located. Of these, 123 (57%) were open and consented to an interview. Only 12 (10%) drug shops were licensed, 93 (76%) were unlicensed, and the licensing status of 18 (15%) was unknown. Most respondents were the owner of the drug shop (88%); most drug sellers reported their qualification as nursing assistants (70%). Drug sellers reported licensing fees and costs of contracting an "in-charge" as barriers to licensing. Nearly all drug shops sold drugs for malaria (91%) and antibiotics (79%).
url https://doi.org/10.1371/journal.pone.0209641
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