Distribution Of Health Workforce Research Articles

Interest of Public Health Science Students of State University of Malang to Work in Remote Areas, Borders, and Islands

The health workforce distribution in Indonesia still needs to be balanced, especially in border areas and islands (DTPK), with no exception for public healthcare workers. This study aimed to determine the interest of public health science students in working in remote areas and the factors associated with the interest of public health science students to work in remote areas. This study design was cross-sectional, and a total sampling method was used. The subjects were final-year students majoring in Public Health Science at the State University of Malang. The dependent variable was the interest of public health science students to work in remote areas. Independent variables included personal input, background environment, and student self-efficacy. Data were analyzed univariate and bivariate using Goodman and Kruskal Tau tests. The result showed that from 79 respondents, 44.3 percent of students were interested in working in remote areas, and 5.1 percent had high self-efficacy to work in remote areas. The factor related to student interest in working in remote areas is the self-efficacy variable (p is 0.000). Most students are not interested in working in rural areas, and self-efficacy is associated with student interest in working in rural areas.

Improvement in medical consultation by using an AI-powered symptom assessment application (SAA)

Abstract Introduction The shortage of healthcare workers affects countries worldwide and primarily affects people in rural areas. Although Romania trains a high number of physicians, the absence of effective retention and motivation policies leads many of them to opt for higher-paying jobs in other countries. As a result, patients experience long travel and wait times. Our study assessed if using an AI-powered SAA, Ada, in a waiting room is feasible for patients, can improve consultation efficiency, and enhance patient-physician communication. Methods This study was conducted in the waiting room of a GP in Cluj-Napoca, Romania, from May to July 2022. Consenting patients completed a symptom assessment while waiting for their consultation. A survey was administered to patients, the study nurse, and physician to gather feedback on their experience. Results The study enrolled 49 patients (29 women, 20 men). Most of the patients found the questions in Ada to be of appropriate length (94%), understandable (90%), and engaging (86%). Patients using Ada felt that they could express all their health issues (79%) and explain their symptoms better to the doctor (84%). They also felt more confident to discuss symptoms that their doctor may have missed (86%) and would use Ada again (84%). Most patients completed the assessment independently (65%). The study physician reported that 70% of patients who used Ada answered questions quickly and asked more questions related to their symptoms. Discussion By providing personalized health information, Ada prepared patients for their consultation, resulting in improved patient engagement and facilitation of clinical conversation. Incorporating a SAA into routine patient care has the potential to enhance the quality of medical care and reduce consultation time, thus, compensating for physician shortages. Further studies to determine the efficacy of integrating SAA with telemedicine can further help tackle the issue of uneven health workforce distribution. Key messages • Patients found Ada, a mobile AI-powered symptom assessment application, easy to use, understandable, and would use it again. The app helped prepare patients for their doctor’s consultation. • Doctors reported increased patient engagement in consultation among users of Ada. These apps can help save time when used by patients in the waiting room and the results are shared with the doctors.

The distribution of registered occupational therapists, physiotherapists, and podiatrists in Australia.

In Australia, the distribution of occupational therapists, physiotherapists, and podiatrists density (per 10,000 population) by measure of location/rurality, usual resident population, and area-level socioeconomic status has not been described. To describe the national as well as states-and territories-wide distribution of registered allied health workforce-occupational therapists, physiotherapists, and podiatrists-by measures of rurality and area-level socioeconomic position in Australia. A linked data study that brings together (1) the location of health practitioners' principal place of practice from the Australian Health Practitioner Regulation Agency, (2) a measure of location/rurality-Modified Monash Model (MMM), and (3) an area-level measure of socioeconomic status-Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD). The provider-to-population ratio (i.e., density) of three Australia's allied health workforce (occupational therapists, physiotherapists, and podiatrists) was calculated according to the MMM classifications (i.e., Modified Monash 1-7) and IRSAD quintiles at state and national level. Nationwide, the density of occupational therapists and physiotherapists was highest in metropolitan areas (Modified Monash 1) and decreased with the increasing levels of the MMM categories. The national density of podiatrists was highest in Modified Monash 3 areas. The density of occupational therapists, physiotherapists, and podiatrists was highest in areas with IRSAD quintile 5 (i.e., the highest socioeconomic position) and decreased with the declining levels of the IRSAD quintiles nationwide. Moreover, there were notable disparities in the density of occupational therapists, physiotherapists, and podiatrists across each state and territory in Australia when stratified by the MMM classifications and IRSAD quintiles. There was uneven distribution of registered occupational therapists, physiotherapists, and podiatrists when stratified by measures of location/rurality and area-level socioeconomic status across Australian jurisdictions. The density of these three groups of allied health workforce tended to be more concentrated in metropolitan and most advantaged areas while remote and most disadvantaged areas exhibited less allied health workforce distribution across each state and territory.

Promoting equitable health workforce distribution through improved migration governance: A mixed methods study of African health professionals' perceptions in Australia.

This study examined skilled health worker (SHW) migration governance in African countries and Australia, with an emphasis on areas of influence for achieving an equitable global health workforce distribution. We used a mixed-methods research design with African SHW migrants in Australia. An institutional and rights-based framing of governance guided thematic analysis of the interviews, which was mapped to survey findings from a Bayesian Exploratory Factor Analysis. The findings imply that Australian state actors enforce laws that attract SHW migrants and promote safe clinical practice, but do not adequately address their integration concerns or role in health system strengthening. Non-state actors in Australia make donations to African health institutions but rarely promote health workforce equity. African state actors respond to increased SHW migration trends by increasing health worker training and limiting migration, but they lack a comprehensive governance framework for involving citizens and engaging foreign governments. There is limited evidence of a shared community definition of SHW migration governance in many African countries. When stakeholders in both sending and receiving countries recognise the indivisibility of the rights at stake (for example, SHW rights as migrants and the right to health), support for an equity-focused SHW migration governance system may increase. Promoting these rights can result in policies that enhance health system strengthening in destination and source countries. Similarly, growing adoption of these rights in sending countries should help inspire a coordinated plan for strengthening health system and SHW migration governance.

Characteristics of Medical Deserts and Approaches to Mitigate Their Health Workforce Issues: A Scoping Review of Empirical Studies in Western Countries.

Medical deserts are considered a problematic issue for many Western countries which try to employ multitude of policies and initiatives to achieve a better distribution of their health workforce (HWF). The aim of this study was to systematically map research and provide an overview of definitions, characteristics, contributing factors and approaches to mitigate medical deserts within the European Union (EU)-funded project "ROUTE-HWF" (a Roadmap OUT of mEdical deserts into supportive Health WorkForce initiatives and policies). We performed a scoping review to identify knowledge clusters/research gaps in the field of medical deserts focusing on HWF issues. Six databases were searched till June 2021. Studies reporting primary research from Western countries on definitions, characteristics, contributing factors, and approaches were included. Two independent reviewers assessed studies for eligibility, extracted data and clustered studies according to the four defined outcomes. Two-hundred and forty studies were included (n=116, 48% Australia/New Zealand; n=105, 44% North America; n=20, 8% Europe). All used observational designs except for five quasi-experimental studies. Studies provided definitions (n=171, 71%), characteristics (n=95, 40%), contributing factors (n=112, 47%), and approaches to mitigate medical deserts (n=87, 36%). Most medical deserts were defined by the density of the population in an area. Contributing factors to HWF issues in medical deserts consisted in work-related (n=55, 23%) and lifestyle-related factors (n=33, 14%) of the HWF as well as sociodemographic characteristics (n=79, 33%). Approaches to mitigate them focused on training adapted to the scope of rural practice (n=67, 28%), HWF distribution (n=3, 1%), support/infrastructure (n=8, 3%) and innovative models of care (n=7, 3%). Our study provides the first scoping review that presents and categorizes definitions, characteristics, contributing factors, and approaches to mitigate HWF issues in medical deserts. We identified gaps such as the scarcity of longitudinal studies to investigate the impact of factors contributing to medical deserts, and interventional studies to evaluate the effectiveness of approaches to mitigate HWF issues.

Pandemic preparedness with 20/20 vision: Applying an intersectional equity lens to health workforce planning.

Human resource for health (HRH) is considered critical for achieving Universal Health Coverage, and the crisis surrounding HRH is now established as a global emergency. Their vital role has been central in the pandemic response. Yet, the discussions and deliberations on the recent pandemic treaty circumscribe HRH discussions to their capacities and protection, and address discrimination mainly in relation to gender. While this paper endorses the case for prioritisation of HRH in global pandemic preparedness planning, it re-frames the HRH crisis in relation to the institutional and structural factors driving HRH shortage, maldistribution and skills-needs misalignment. We critique the supply-and-demand framing of HRH crisis as one that obliviates the systematic inequalities within health systems that underpin health workforce motivations, distribution, satisfaction and performance. We propose an intersectional equity lens to redefine the HRH challenges, understand their underlying drivers and accordingly integrate in the global pandemic preparedness plans.

Equitable distribution of health workforce: a comparative study of the Dormaa east and Daffiama Bussie Issa districts of Ghana.

Equitable distribution of health workforce: a comparative study of the Dormaa east and Daffiama Bussie Issa districts of Ghana.

Measuring the inequalities in healthcare resource in facility and workforce: A longitudinal study in China.

The study aimed to measure time trends of inequalities of the geographical distribution of health facilities and workforce in Shanghai from 2010 to 2016 and used a spatial autocorrelation analysis method to precisely detect the priority areas for optimizing health resource reallocation in metropolises like Shanghai in developing countries. The study used secondary data from the Shanghai Health Statistical Yearbook and the Shanghai Statistical Yearbook from 2011 to 2017. Five indicators on health resources, namely, health institutions, beds, technicians, doctors, and nurses, were employed to quantitatively measure the healthcare resource in Shanghai. The Theil index and the Gini coefficient were applied to assess the global inequalities in the geographic distribution of these resources in Shanghai. Global and local spatial autocorrelation was performed using global Moran's index and local Moran's index to illustrate the spatial changing patterns and identify the priority areas for two types of healthcare resource allocation. Shanghai's healthcare resources showed decreasing trends of inequalities at large from 2010 to 2016. However, there still existed an unchanged over-concentration distribution in healthcare facilities and workforce density among districts in Shanghai, especially for doctors at the municipal level and facility allocation at the rural level. Through spatial autocorrelation analysis, it was found that there exhibited a significant spatial autocorrelation in the density distribution of all resources, and some identified priority areas were detected for resource re-allocation policy planning. The study identified the existence of inequality in some healthcare resource allocations in Shanghai from 2010 to 2016. Hence, more detailed area-specific healthcare resource planning and distribution policies are required to balance the health workforce distribution at the municipal level and institution distribution at the rural level, and particular geographical areas (low-low and low-high cluster areas) should be focused on and fully considered across all the policies and regional cooperation to ensure health equality for municipal cities like Shanghai in developing countries.

Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia.

The Maluku Province is an underdeveloped region in Indonesia with over 1,340 scattered islands. Due to the limited health facilities and transportation infrastructure, access to healthcare is very challenging. Here, we combined data from various sources to locate the population clusters, health facilities, roads, and ports/docks, and then utilize geographic information systems (GIS) to estimate distances from residents to health facilities. Health workforce distribution data was then integrated to elucidate overall healthcare equity among districts in the province. The average distances to puskesmas (primary health clinics) were 8.89 km (by land) and 18.43 km (by land and water) respectively, and the average distances to hospitals were 56.19 km (by land) and 73.09 km (by land and water), with large disparities within and among districts. Analysis of health workforce data shows that 65% of 207 puskesmas lack physicians, while 49% lack midwives. Ambon, Tual, and Southeast Maluku have the highest health equity, while East Ceram, Buru, and South Buru have the lowest. In general, this study demonstrates the utility of GIS and spatial analyses, which can help identify problem areas in healthcare accessibility and equity in archipelago settings, and provide recommendations to stakeholders such as public health officials and district administrators.

Finding flaws in the spatial distribution of health workforce and its influential factors: An empirical analysis based on Chinese provincial panel data, 2010-2019.

The maldistributions of the health workforce showed great inconsistency when singly measured by population quantity or geographic area in China. Meanwhile, earlier studies mainly employed traditional econometric approaches to investigate determinants for the health workforce, which ignored spillover effects of influential factors on neighboring regions. Therefore, we aimed to analyze health workforce allocation in China from demographic and geographic perspectives simultaneously and then explore the spatial pattern and determinants for health workforce allocation taking account of the spillover effect. The health resource density index (HRDI) equals the geometric mean of health resources per 1,000 persons and per square kilometer. First, the HRDI of licensed physicians (HRDI_P) and registered nurses (HRDI_N) was calculated for descriptive analysis. Then, global and local Moran's I indices were employed to explore the spatial features and aggregation clusters of the health workforce. Finally, four types of independent variables were selected: supportive resources (bed density and government health expenditure), healthcare need (proportion of the elderly population), socioeconomic factors (urbanization rate and GDP per capita), and sociocultural factors (education expenditure per pupil and park green area per capita), and then the spatial panel econometric model was used to assess direct associations and intra-region spillover effects between independent variables and HRDI_P and HRDI_N. Global Moran's I index of HRDI_P and HRDI_N increased from 0.2136 (P = 0.0070) to 0.2316 (P = 0.0050), and from 0.1645 (P = 0.0120) to 0.2022 (P = 0.0080), respectively. Local Moran's I suggested spatial aggregation clusters of HRDI_P and HRDI_N. For HRDI_P, bed density, government health expenditure, and GDP had significantly positive associations with local HRDI_P, while the proportion of the elderly population and education expenditure showed opposite spillover effects. More precisely, a 1% increase in the proportion of the elderly population would lead to a 0.4098% increase in HRDI_P of neighboring provinces, while a 1% increase in education expenditure leads to a 0.2688% decline in neighboring HRDI_P. For HRDI_N, the urbanization rate, bed density, and government health expenditure exerted significantly positive impacted local HRDI_N. In addition, the spillover effect was more evident in the urbanization rate, with a 1% increase in the urbanization rate relating to 0.9080% growth of HRDI_N of surrounding provinces. Negative spillover effects of education expenditure, government health expenditure, and elderly proportion were observed in neighboring HRDI_N. There were substantial spatial disparities in health workforce distribution in China; moreover, the health workforce showed positive spatial agglomeration with a strengthening tendency in the last decade. In addition, supportive resources, healthcare needs, and socioeconomic and sociocultural factors would affect the health labor configuration not only in a given province but also in its nearby provinces.

Cocreation in Health Workforce Planning to Shape the Future of the Health Care System in the Philippines.

The Philippines passed landmark legislation in 2019 on universal health coverage, including reforms in the development of its health workforce, an essential building block of responsive health care systems. We based our planning process on a model of cocreation defined as sharing power and decision making to solve problems collaboratively and build consensus around action. Through cocreation with policy makers, researchers, and other stakeholders, we performed projection studies on 10 selected health professions and estimated the need for primary care at national and subnational levels, which was the most extensive health workforce projection carried out by the Philippine Department of Health to date. We determined health workforce requirements based on target densities recommended by the World Health Organization and a health needs approach that considered epidemiological and sociodemographic factors. In consultation with stakeholders, we interpreted our analysis to guide recommendations to address issues related to health workforce quantity, skill mix, and distribution. These included a broad range of proposals, including task shifting, expanding scholarships and deployment, reforming health professionals' education, and pursuing a whole-of-society approach, which together informed the National Human Resources for Health Master Plan. Our cocreation model offers lessons for policy makers, program managers, and researchers in low- and middle-income countries who deal with health workforce challenges. Cocreation led to relationship building between policy makers and researchers who jointly performed the research and identified solutions through open communication and agile coordination. To shape future health care systems that are responsive both during normal times and during crises, cocreation would be essential for evidence-informed policy development and policy-relevant research.

Assessing the contribution of immigrants to Canada’s nursing and health care support occupations: a multi-scalar analysis

BackgroundThe World Health Organization adopted the Global Strategy on Human Resources for Health Workforce 2030 in May 2016. It sets specific milestones for improving health workforce planning in member countries, such as developing a health workforce registry by 2020 and ensuring workforce self-sufficiency by halving dependency on foreign-trained health professionals. Canada falls short in achieving these milestones due to the absence of such a registry and a poor understanding of immigrants in the health workforce, particularly nursing and healthcare support occupations. This paper provides a multiscale (Canada, Ontario, and Ontario’s Local Health Integration Networks) overview of immigrant participation in nursing and health care support occupations, discusses associated enumeration challenges, and the implications for health workforce planning focusing on immigrants.MethodsDescriptive data analysis was performed on Canadian Institute for Health Information dataset for 2010 to 2020, and 2016 Canadian Census and other relevant data sources.ResultsThe distribution of nurses in Canada, Ontario, and Ontario’s Local Health Integration Networks reveal a growth in Nurse Practitioners and Registered/Licensed Practical Nurses, and contraction in the share of Registered Nurses. Immigrant entry into the profession was primarily through the practical nurse cadre. Mid-sized communities registered the highest growth in the share of internationally educated nurses. Data also pointed towards the underutilization of immigrants in regulated nursing and health occupations.ConclusionImmigrants comprise an important share of Canada’s nursing and health care support workforce. Immigrant pathways for entering nursing occupations are complex and difficult to accurately enumerate. This paper recommends the creation of an integrated health workforce dataset, including information about immigrant health workers, for both effective national workforce planning and for assessing Canada’s role in global health workforce distribution and utilization.

The global health workforce stock and distribution in 2020 and 2030: a threat to equity and ‘universal’ health coverage?

ObjectiveThe 2016 Global Strategy on Human Resources for Health: Workforce 2030 projected a global shortage of 18 million health workers by 2030. This article provides an assessment of the health...

Health system impact of COVID-19 on urban slum population of Bangladesh: a mixed-method rapid assessment study

ObjectiveWe aimed to rapidly assess the health system impact of COVID-19 in the urban slums of Bangladesh.DesignSetting and participantsA cross-sectional survey among 476 households was conducted during October–December 2020 in...

Applying the workload indicators of staffing needs method in nursing health workforce planning: evidences from four hospitals in Vietnam

BackgroundVietnam has encountered difficulties in ensuring an adequate and equitable distribution of health workforce. The traditional staffing norms stated in the Circular 08/TT-BYT issued in 2007 based solely on population or institutional size and do not adequately take into consideration the variations of need such as population density, mortality and morbidity patterns. To address this problem, more rigorous approaches are needed to determine the number of personnel in health facilities. One such approach is Workload Indicators of Staffing Need (WISN) developed by the World Health Organization (WHO), a facility-based workforce planning method that assists managers in defining the responsibilities of different workforce categories and improving the appropriateness and efficiency of a staff mix.MethodsThis study applied the WISN approach and was employed in 22 clinical departments at four hospitals in Vietnam between 2015 and 2018. 22 targeted group discussions involving nurses were conducted. Hospital personnel records have been retrieved. The data were analyzed according to WISN instructions.ResultsOf the 22 departments, there was a shortage of 1 to 2 nurses in 10 departments, with WISN ratios ranging between 0.88 and 0.95. Only 01 clinical colleges at Can Tho Hospital lacked 05 nurses, facing a high workload with a WISN ratio of 0.78. Administrative time represented 20–40% of the total work time of a nurse. In comparison, nurses at Can Tho Hospital spent time on administration from 24 onwards. 5–41.7% of their working time while nurses at Thanh Hoa Hospital spent 21–33%.ConclusionsThe application of the WISN enabled health managers to analyze the workload of nurses, calculate staffing needs, and thus effectively contribute to the workforce planning process. It is expected that the results of this research will encourage the use of the WISN tool in other hospitals and health facilities across the health system. At provincial and national levels, this study provides important evidence to help policy makers develop guidelines for personnel norms for health facilities in the context of limited resources, while the existing regulation is no longer appropriate.

Rationale and protocol for the Nursing and Allied Health Graduate Outcomes Tracking (NAHGOT) study: a large-scale longitudinal investigation of graduate practice destinations.

Inequitable distribution of health workforce limits access to healthcare services and contributes to adverse health outcomes. WHO recommends tracking health professionals from their points of entry into university and over their careers for the purpose of workforce development and planning. Previous research has focused on medical students and graduates' choice of practice location. Few studies have targeted nursing and allied health graduates' practice intentions and destinations. The Nursing and Allied Health Graduate Outcomes Tracking (NAHGOT) study is investigating factors affecting Australian nursing and allied health students and graduates' choice of graduate practice location over the course of their studies and up to 10 years after graduation by linking multiple data sources, including routinely collected university administrative and professional placement data, surveys of students and graduates, and professional registration data. By using a prospective cohort study design, each year a new cohort of about 2000 students at each participating university (Deakin University, Monash University and the University of Newcastle) is tracked throughout their courses and for 10 years after graduation. Disciplines include medical radiation practice, nursing and midwifery, occupational therapy, optometry, paramedicine, pharmacy, physiotherapy, podiatry and psychology. University enrolment data are collected at admission and professional placement data are collected annually. Students' practice destination intentions are collected via questions added into the national Student Experience Survey (SES). Data pertaining to graduates' practice destination, intentions and factors influencing choice of practice location are collected in the first and third years after graduation via questions added to the Australian Graduate Outcomes Survey (GOS). Additionally, participants may volunteer to receive a NAHGOT survey in the second and fourth-to-tenth years after graduation. Principal place of practice data are accessed via the Australian Health Practitioner Regulation Agency (Ahpra) annually. Linked data are aggregated and analysed to test hypotheses comparing associations between multiple variables and graduate practice location. This study seeks to add to the limited empirical evidence about factors that lead to rural practice in the nursing and allied health professions. This prospective large-scale, comprehensive study tracks participants from eight different health professions across three universities through their pre-registration education and into their postgraduate careers, an approach not previously reported in Australia. To achieve this, the NAHGOT study links data drawn from university enrolment and professional placement data, the SES, the GOS, online NAHGOT graduate surveys, and Ahpra data. The prospective cohort study design enables the use of both comparative analysis and hypothesis testing. The flexible and inclusive study design is intended to enable other universities, as well as those allied health professions not regulated by Ahpra, to join the study over time. The study demonstrates how the systematic, institutional tracking and research approach advocated by the WHO can be applied to the nursing and allied health workforce in Australia. It is expected that this large-scale, longitudinal, multifactorial, multicentre study will help inform future nursing and allied health university admission, graduate pathways and health workforce planning. Furthermore, the project could be expanded to explore health workforce attrition and thereby influence health workforce planning overall.

The prevalence and causes of low vision and blindness amongst learners at the Akropong School for the Blind in Ghana

Background: Low vision and blindness have significant implications, resulting in a generally reduced quality of life amongst the sufferers. Aim: To determine the prevalence and causes of low vision and blindness amongst learners at the Akropong School for the Blind. Setting: The study was conducted in Akropong School for the Blind, Ghana. Methods: A cross-sectional study design was used. Eye examinations included measurements of presenting distance visual acuity (PDVA) with the Tumbling ‘E’ distance LogMAR chart. Anterior and posterior segments were examined with an ophthalmoscope and a slit lamp. Results: Two hundred and sixty-eight ( N = 268) learners comprising 157 (58.6%) males and 111 (41.4%) females took part in this study and their ages ranged from 4 to 43 years (mean and standard deviation [SD] = 15.79 ± 6.15 years). The results indicated that 76.1% were classified as blind and 23.9% of the learners had low vision. The leading cause of low vision was glaucoma (39.1%) followed by pseudophakia (21.9%) and retinopathy (18.8%). The most common causes of low vision and blindness based on pathology found on ocular anatomical structures were corneal opacity/phthisis bulbi (35.5%), followed by glaucoma (25%), cataract (13.4%) and retinopathy (10.8%). Conclusion: The leading causes of low vision and blindness identified in this study were because of avoidable diseases such as corneal opacity/phthisis bulbi and glaucoma. This highlighted the need for adequate primary eye care services, equitable eye health workforce distribution and eye health awareness in Ghana to help prevent low vision and blindness.

Increasing nursing student interest in rural healthcare: lessons from a rural rotation program in Democratic Republic of the Congo

BackgroundMany challenges exist in providing equitable access to rural healthcare in the Democratic Republic of the Congo (DRC). WHO recommends student exposure to rural clinical rotations to promote interest in rural healthcare. Challenges to rural engagement include lack of adequate infrastructure and staff to lead rural education. This case report highlights key steps in developing a rural rotation program for DRC nursing students.Case presentationTo implement a rural rotation (RR) program, ICAP at Columbia University (ICAP) consulted with students, the Ministries of Health (MoH) and Education (MoE), and nursing schools to pilot and expand a rural rotation program. Nursing schools agreed to place students in rural clinics and communities. Key stakeholders collaborated to assess and select rural sites based on availability of nursing mentors, educational resources, security, accessibility, and patient volume. To support this, 85 preceptors from 55 target schools and 30 rural health facilities were trained of which 30 were selected to be “master trainers”. These master trainers led the remaining 55 preceptors implementing the rural rotation program. We worked with rural facilities to engage community leaders and secure accommodation for students.A total of 583 students from five Lubumbashi schools and two rural schools outside Kinshasa participated across 16 rural sites (298 students in 2018–2019 school year and 285 in 2019–2020). Feedback from 274 students and 25 preceptors and nursing school leaders was positive with many students actively seeking rural assignments upon graduation. For example, 97% agreed or strongly agreed that their RR programs had strengthened their educational experience. Key challenges, however, were long-term financial support (35%) for rural rotations, adequate student housing (30%) and advocacy for expanding the rural workforce.ConclusionsWith nearly 600 participants, this project showed that a RR program is feasible and acceptable in resource-limited settings yet availability of ample student accommodation and increasing availability of rural jobs remain health system challenges. Using a multipronged approach to rural health investment as outlined by WHO over two decades ago remains essential. Attracting future nurses to rural health is necessary but not sufficient to achieve equitable health workforce distribution.

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

BackgroundDespite 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.MethodsWe 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.ResultsIt 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 implicationsEfficiency 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.

Size, composition and distribution of health workforce in India: why, and where to invest?

BackgroundInvestment in human resources for health not only strengthens the health system, but also generates employment and contributes to economic growth. India can gain from enhanced investment in health workforce in multiple ways. This study in addition to presenting updated estimates on size and composition of health workforce, identifies areas of investment in health workforce in India.MethodsWe analyzed two sources of data: (i) National Health Workforce Account (NHWA) 2018 and (ii) Periodic Labour Force Survey 2017–2018 of the National Sample Survey Office (NSSO). Using the two sources, we collated comparable estimates of different categories of health workers in India, density of health workforce and skill-mix at the all India and state levels.ResultsThe study estimated (from NHWA 2018) a total stock of 5.76 million health workers which included allopathic doctors (1.16 million), nurses/midwives (2.34 million), pharmacist (1.20 million), dentists (0.27 million), and traditional medical practitioner (AYUSH 0.79 million). However, the active health workforce size estimated (NSSO 2017–2018) is much lower (3.12 million) with allopathic doctors and nurses/midwives estimated as 0.80 million and 1.40 million, respectively. Stock density of doctor and nurses/midwives are 8.8 and 17.7, respectively, per 10,000 persons as per NHWA. However, active health workers’ density (estimated from NSSO) of doctor and nurses/midwives are estimated to be 6.1 and 10.6, respectively. The numbers further drop to 5.0 and 6.0, respectively, after accounting for the adequate qualifications. All these estimates are well below the WHO threshold of 44.5 doctor, nurses and midwives per 10,000 population. The results reflected highly skewed distribution of health workforce across states, rural–urban and public–private sectors. A substantial proportion of active health worker were found not adequately qualified on the one hand and on the other more than 20% of qualified health professionals are not active in labor markets.ConclusionIndia needs to invest in HRH for increasing the number of active health workers and also improve the skill-mix which requires investment in professional colleges and technical education. India also needs encouraging qualified health professionals to join the labor markets and additional trainings and skill building for already working but inadequately qualified health workers.