Cargando…

The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management

BACKGROUND: Despite tremendous health workforce efforts which have resulted in increases in the density of physicians, nurses and midwives from 1.07 per 1000 population in 2005 to 2.65 per 1000 population in 2017, Ghana continues to face shortages of health workforce alongside inefficient distributi...

Descripción completa

Detalles Bibliográficos
Autores principales: Asamani, James Avoka, Ismaila, Hamza, Plange, Anna, Ekey, Victor Francis, Ahmed, Abdul-Majeed, Chebere, Margaret, Awoonor-Williams, John Koku, Nabyonga-Orem, Juliet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010987/
https://www.ncbi.nlm.nih.gov/pubmed/33789670
http://dx.doi.org/10.1186/s12960-021-00590-3
_version_ 1783673163655151616
author Asamani, James Avoka
Ismaila, Hamza
Plange, Anna
Ekey, Victor Francis
Ahmed, Abdul-Majeed
Chebere, Margaret
Awoonor-Williams, John Koku
Nabyonga-Orem, Juliet
author_facet Asamani, James Avoka
Ismaila, Hamza
Plange, Anna
Ekey, Victor Francis
Ahmed, Abdul-Majeed
Chebere, Margaret
Awoonor-Williams, John Koku
Nabyonga-Orem, Juliet
author_sort Asamani, James Avoka
collection PubMed
description BACKGROUND: Despite tremendous health workforce efforts which have resulted in increases in the density of physicians, nurses and midwives from 1.07 per 1000 population in 2005 to 2.65 per 1000 population in 2017, Ghana continues to face shortages of health workforce alongside inefficient distribution. The Ministry of Health and its agencies in Ghana used the Workload Indicators of Staffing Needs (WISN) approach to develop staffing norms and standards for all health facilities, which is being used as an operational planning tool for equitable health workforce distribution. Using the nationally agreed staffing norms and standards, the aim of this paper is to quantify the inequitable distribution of health workforce and the associated cost implications. It also reports on how the findings are being used to shape health workforce policy, planning and management. METHODS: We conducted a health workforce gap analysis for all health facilities of the Ghana Health Service in 2018 in which we compared a nationally agreed evidence-based staffing standard with the prevailing staffing situation to identify need-based gaps and inequitable distribution. The cost of the prevailing staffing levels was also compared with the stipulated standard, and the staffing cost related to inequitable distribution was estimated. RESULTS: It was found that the Ghana Health Service needed 105,440 health workers to meet its minimum staffing requirements as at May 2018 vis-à-vis its prevailing staff at post of 61,756 thereby leaving unfilled vacancies of 47,758 (a vacancy rate of 41%) albeit significant variations across geographical regions, levels of service and occupational groups. Of note, the crude equity index showed that in aggregate, the best-staffed region was 2.17 times better off than the worst-staffed region. The estimated cost (comprising basic salaries, market premium and other allowances paid from central government) of meeting the minimum staffing requirements was estimated to be GH¢2,358,346,472 (US$521,758,069) while the current cost of staff at post was GH¢1,424,331,400 (US$315,117,566.37), resulting in a net budgetary deficit of 57% (~ US$295.4 million) to meet the minimum requirement of staffing for primary and secondary health services. Whilst the prevailing staffing expenditure was generally below the required levels, an average of 28% (range 14–50%) across the levels of primary and secondary healthcare was spent on staff deemed to have been inequitably distributed, thus providing scope for rationalisation. We estimate that the net budgetary deficit of meeting the minimum staffing requirement could be drastically reduced by some 30% just by redistributing the inequitably distributed staff. POLICY IMPLICATIONS: Efficiency gains could be made by redistributing the 14,142 staff deemed to be inequitably distributed, thereby narrowing the existing staffing gaps by 30% to 33,616, which could, in turn, be filled by leveraging synergistic strategy of task-sharing and/or new recruitments. The results of the analysis provided insights that have shaped and continue to influence important policy decisions in health workforce planning and management in the Ghana Health Service. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-021-00590-3.
format Online
Article
Text
id pubmed-8010987
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-80109872021-03-31 The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management Asamani, James Avoka Ismaila, Hamza Plange, Anna Ekey, Victor Francis Ahmed, Abdul-Majeed Chebere, Margaret Awoonor-Williams, John Koku Nabyonga-Orem, Juliet Hum Resour Health Research BACKGROUND: Despite tremendous health workforce efforts which have resulted in increases in the density of physicians, nurses and midwives from 1.07 per 1000 population in 2005 to 2.65 per 1000 population in 2017, Ghana continues to face shortages of health workforce alongside inefficient distribution. The Ministry of Health and its agencies in Ghana used the Workload Indicators of Staffing Needs (WISN) approach to develop staffing norms and standards for all health facilities, which is being used as an operational planning tool for equitable health workforce distribution. Using the nationally agreed staffing norms and standards, the aim of this paper is to quantify the inequitable distribution of health workforce and the associated cost implications. It also reports on how the findings are being used to shape health workforce policy, planning and management. METHODS: We conducted a health workforce gap analysis for all health facilities of the Ghana Health Service in 2018 in which we compared a nationally agreed evidence-based staffing standard with the prevailing staffing situation to identify need-based gaps and inequitable distribution. The cost of the prevailing staffing levels was also compared with the stipulated standard, and the staffing cost related to inequitable distribution was estimated. RESULTS: It was found that the Ghana Health Service needed 105,440 health workers to meet its minimum staffing requirements as at May 2018 vis-à-vis its prevailing staff at post of 61,756 thereby leaving unfilled vacancies of 47,758 (a vacancy rate of 41%) albeit significant variations across geographical regions, levels of service and occupational groups. Of note, the crude equity index showed that in aggregate, the best-staffed region was 2.17 times better off than the worst-staffed region. The estimated cost (comprising basic salaries, market premium and other allowances paid from central government) of meeting the minimum staffing requirements was estimated to be GH¢2,358,346,472 (US$521,758,069) while the current cost of staff at post was GH¢1,424,331,400 (US$315,117,566.37), resulting in a net budgetary deficit of 57% (~ US$295.4 million) to meet the minimum requirement of staffing for primary and secondary health services. Whilst the prevailing staffing expenditure was generally below the required levels, an average of 28% (range 14–50%) across the levels of primary and secondary healthcare was spent on staff deemed to have been inequitably distributed, thus providing scope for rationalisation. We estimate that the net budgetary deficit of meeting the minimum staffing requirement could be drastically reduced by some 30% just by redistributing the inequitably distributed staff. POLICY IMPLICATIONS: Efficiency gains could be made by redistributing the 14,142 staff deemed to be inequitably distributed, thereby narrowing the existing staffing gaps by 30% to 33,616, which could, in turn, be filled by leveraging synergistic strategy of task-sharing and/or new recruitments. The results of the analysis provided insights that have shaped and continue to influence important policy decisions in health workforce planning and management in the Ghana Health Service. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-021-00590-3. BioMed Central 2021-03-31 /pmc/articles/PMC8010987/ /pubmed/33789670 http://dx.doi.org/10.1186/s12960-021-00590-3 Text en © The Author(s) 2021 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/. 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 in a credit line to the data.
spellingShingle Research
Asamani, James Avoka
Ismaila, Hamza
Plange, Anna
Ekey, Victor Francis
Ahmed, Abdul-Majeed
Chebere, Margaret
Awoonor-Williams, John Koku
Nabyonga-Orem, Juliet
The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management
title The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management
title_full The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management
title_fullStr The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management
title_full_unstemmed The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management
title_short The cost of health workforce gaps and inequitable distribution in the Ghana Health Service: an analysis towards evidence-based health workforce planning and management
title_sort cost of health workforce gaps and inequitable distribution in the ghana health service: an analysis towards evidence-based health workforce planning and management
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010987/
https://www.ncbi.nlm.nih.gov/pubmed/33789670
http://dx.doi.org/10.1186/s12960-021-00590-3
work_keys_str_mv AT asamanijamesavoka thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT ismailahamza thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT plangeanna thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT ekeyvictorfrancis thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT ahmedabdulmajeed thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT cheberemargaret thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT awoonorwilliamsjohnkoku thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT nabyongaoremjuliet thecostofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT asamanijamesavoka costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT ismailahamza costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT plangeanna costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT ekeyvictorfrancis costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT ahmedabdulmajeed costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT cheberemargaret costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT awoonorwilliamsjohnkoku costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement
AT nabyongaoremjuliet costofhealthworkforcegapsandinequitabledistributionintheghanahealthserviceananalysistowardsevidencebasedhealthworkforceplanningandmanagement