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Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study
BACKGROUND: Effective referral of maternity cases, which cannot be managed at the primary healthcare level, with detailed referral forms is important for reducing possible delays in the provision of higher-level healthcare. This is the first study to audit documentation or referral forms that accomp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925182/ https://www.ncbi.nlm.nih.gov/pubmed/35296312 http://dx.doi.org/10.1186/s12913-022-07760-6 |
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author | Ameyaw, Edward Kwabena Amoah, Roberta Mensima Njue, Carolyne Tran, Nguyen Toan Dawson, Angela |
author_facet | Ameyaw, Edward Kwabena Amoah, Roberta Mensima Njue, Carolyne Tran, Nguyen Toan Dawson, Angela |
author_sort | Ameyaw, Edward Kwabena |
collection | PubMed |
description | BACKGROUND: Effective referral of maternity cases, which cannot be managed at the primary healthcare level, with detailed referral forms is important for reducing possible delays in the provision of higher-level healthcare. This is the first study to audit documentation or referral forms that accompany referred maternity cases to a referral hospital in the northern region of Ghana. MATERIALS AND METHODS: This study employed an explanatory sequential mixed-method design, starting with a quantitative review of referral forms that accompanied all patients referred to four units (antenatal, antenatal emergency, labour and neonatal intensive care) of a referral hospital in northern Ghana. In-depth interviews were held with the heads of the four units afterwards. Descriptive statistics were computed for the quantitative data. The qualitative data was subjected to content analysis. Integration of the data occurred at the data interpretation/discussion level. RESULTS: A total of 217 referral forms were analysed. Nearly half of the cases were referred from the Tamale Metropolis (46.5%) and 83.9% were referred for advanced care, whilst 8.3% were referred due to a lack of medical logistics and equipment such as oxygen and skilled personnel (6%). Completion rates of the referral forms were as follows: < 50% completion (n = 81; 37.3%), 50–75% completion (n = 112; 51.6%) above 75% completion (n = 24; 11.1%). Some of the handwriting were not legible and were quite difficult to read. The key informants stated that incomplete forms sometimes delay treatment. The head of the antenatal care unit at the referral hospital suggested professional development sessions as a strategy for supporting clinicians to fill the forms as expected. CONCLUSION: The Ghana Health Service should conduct regular audits, develop job aides and provide incentives for health professionals who accurately complete referral forms. Completing forms and digitizing health records can help ensure further efficiencies in the health information system and sustain good maternity referral documentation practices. |
format | Online Article Text |
id | pubmed-8925182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89251822022-03-23 Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study Ameyaw, Edward Kwabena Amoah, Roberta Mensima Njue, Carolyne Tran, Nguyen Toan Dawson, Angela BMC Health Serv Res Research BACKGROUND: Effective referral of maternity cases, which cannot be managed at the primary healthcare level, with detailed referral forms is important for reducing possible delays in the provision of higher-level healthcare. This is the first study to audit documentation or referral forms that accompany referred maternity cases to a referral hospital in the northern region of Ghana. MATERIALS AND METHODS: This study employed an explanatory sequential mixed-method design, starting with a quantitative review of referral forms that accompanied all patients referred to four units (antenatal, antenatal emergency, labour and neonatal intensive care) of a referral hospital in northern Ghana. In-depth interviews were held with the heads of the four units afterwards. Descriptive statistics were computed for the quantitative data. The qualitative data was subjected to content analysis. Integration of the data occurred at the data interpretation/discussion level. RESULTS: A total of 217 referral forms were analysed. Nearly half of the cases were referred from the Tamale Metropolis (46.5%) and 83.9% were referred for advanced care, whilst 8.3% were referred due to a lack of medical logistics and equipment such as oxygen and skilled personnel (6%). Completion rates of the referral forms were as follows: < 50% completion (n = 81; 37.3%), 50–75% completion (n = 112; 51.6%) above 75% completion (n = 24; 11.1%). Some of the handwriting were not legible and were quite difficult to read. The key informants stated that incomplete forms sometimes delay treatment. The head of the antenatal care unit at the referral hospital suggested professional development sessions as a strategy for supporting clinicians to fill the forms as expected. CONCLUSION: The Ghana Health Service should conduct regular audits, develop job aides and provide incentives for health professionals who accurately complete referral forms. Completing forms and digitizing health records can help ensure further efficiencies in the health information system and sustain good maternity referral documentation practices. BioMed Central 2022-03-16 /pmc/articles/PMC8925182/ /pubmed/35296312 http://dx.doi.org/10.1186/s12913-022-07760-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ameyaw, Edward Kwabena Amoah, Roberta Mensima Njue, Carolyne Tran, Nguyen Toan Dawson, Angela Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study |
title | Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study |
title_full | Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study |
title_fullStr | Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study |
title_full_unstemmed | Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study |
title_short | Audit of documentation accompanying referred maternity cases to a referral hospital in northern Ghana: a mixed-methods study |
title_sort | audit of documentation accompanying referred maternity cases to a referral hospital in northern ghana: a mixed-methods study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925182/ https://www.ncbi.nlm.nih.gov/pubmed/35296312 http://dx.doi.org/10.1186/s12913-022-07760-6 |
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