Current and future availability of and need for human resources for sexual, reproductive, maternal and newborn health in 41 countries in Sub-Saharan Africa

The global burden of disease due to benign gynecological conditions: A call to action

OBJECTIVE

Focusing on low- and middle-income countries (LMICs), this article uses data from the Global Burden of Disease (GBD) database to highlight the burden of morbidity due to benign gynecological conditions (BGCs).

METHODS

We analyzed 2019 morbidity data for all BGCs, measured as years lost to disability (YLDs). Disease burden was calculated for individual conditions, BGCs overall, and percentages of overall disease burden from all conditions. The same data extraction was performed for malaria, tuberculosis, and HIV/AIDS for comparison. The data were subcategorized by age and World Bank income level.

RESULTS

BGCs are major causes of disease morbidity worldwide. For women aged 15 years and over in high-income countries (HICs), 3 588 157 YLDs (3.94% of all YLDs) were due to BGC. In LMICs, 18 242 989 YLDs (5.35% of all YLDs) were due to BGCs. The highest burden of BGCs is seen during the reproductive years where conditions driven or exacerbated by reproductive hormones are the major causes of morbidity. In LMICs, for women aged 15-49, 14 574 100 YLDs (7.75% of all YLDs) were due to BGCs, declining to 3 152 313 YLDs (3.04%) in women aged 50-69 and 529 399 YLDs (1.06%) in women age 70+.

CONCLUSION

These data demonstrate a huge burden of morbidity due to BGCs. There is an urgent need for international stakeholders to prioritize the treatment and prevention of BGCs.

Getting Up to Date with What Works: A Systematic Review on the Effectiveness and Safety of Task Sharing of Modern Methods in Family Planning Services

Objective

This systematic review was conducted to provide up-to-date evidence on the safety and effectiveness of task sharing in the delivery of modern contraceptives. Study Design. The review followed the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines. We searched Medline, Embase, Cochrane CENTRAL, and Google Scholar for peer-reviewed studies that reported on effectiveness and/or safety outcomes of task sharing of any modern contraceptive method. Only Cochrane Effective Practice of Organizations of Care (EPOC) study designs were eligible, and quality assessment of the evidence was performed using the Cochrane risk of bias (RoB) tools. Meta-analyses, where possible, were carried out using Stata, and certainty of the evidence for outcomes was assessed using the Grading of Recommendations Assessment, Development, and Evaluation tool (GRADE).

Results

Six studies met the inclusion criteria: five reported on self-injection of subcutaneous depot medroxyprogesterone acetate (DMPA-SC) compared to administered by trained health providers; and one assessed tubal ligation performed by associate clinicians compared to advanced-level associate clinicians. Self-injection improved contraceptive continuation, with no increase in unintended pregnancy and no difference in side effects compared to provider administered. In tubal ligation, the rate of adverse events, time to complete procedure, and participant satisfaction were similar among associate clinicians and advanced clinicians.

Conclusion

The evidence suggests that self-injection of DMPA-SC and tubal ligation performed by associate clinicians are safe and effective. These findings should be complemented with the evidence on the feasibility and acceptability of task sharing of these methods. The review protocol was registered with PROSPERO CRD42021283336.

An integrated primary care workforce planning toolkit at the regional level (part 1): qualitative tools compiled for decision-makers in Toronto, Canada

BACKGROUND

A regional health authority in Toronto, Canada, identified health workforce planning as an essential input to the implementation of their comprehensive Primary Care Strategy. The goal of this project was to develop an evidence-informed toolkit for integrated, multi-professional, needs-based primary care workforce planning for the region. This article presents the qualitative workforce planning processes included in the toolkit.

METHODS

To inform the workforce planning process, we undertook a targeted review of the health workforce planning literature and an assessment of existing planning models. We assessed models based on their alignment with the core needs and key challenges of the health authority: multi-professional, population needs-based, accommodating short-term planning horizons and multiple planning scales, and addressing key challenges including population mobility and changing provider practice patterns. We also assessed the strength of evidence surrounding the models' performance and acceptability.

RESULTS

We developed a fit-for-purpose health workforce planning toolkit, integrating elements from existing models and embedding key features that address the region's specific planning needs and objectives. The toolkit outlines qualitative workforce planning processes, including scenario generation tools that provide opportunities for patient and provider engagement. Tools include STEEPLED Analysis, SWOT Analysis, an adaptation of Porter's Five Forces Framework, and Causal Loop Diagrams. These planning processes enable the selection of policy interventions that are robust to uncertainty and that are appropriate and acceptable at the regional level.

CONCLUSIONS

The qualitative inputs that inform health workforce planning processes are often overlooked, but they represent an essential part of an evidence-informed toolkit to support integrated, multi-professional, needs-based primary care workforce planning.

An integrated primary care workforce planning toolkit at the regional level (part 2): quantitative tools compiled for decision-makers in Toronto, Canada

BACKGROUND

Health workforce planning capability at a regional level is increasingly necessary to ensure that the healthcare needs of defined local populations can be met by the health workforce. In 2016, a regional health authority in Toronto, Canada, identified a need for more robust health workforce planning infrastructure and processes. The goal of this project was to develop an evidence-informed toolkit for integrated, multi-professional, needs-based primary care workforce planning for the region. This article presents the quantitative component of the workforce planning toolkit and describes the process followed to develop this tool.

METHODS

We conducted an environmental scan to identify datasets addressing population health need and profession-specific health workforce supply that could contribute to quantitative health workforce modelling. We assessed these sources of data for comprehensiveness, quality, and availability. We also developed a quantitative health workforce planning model to assess the alignment of regional service requirements with the service capacity of the workforce.

RESULTS

The quantitative model developed as part of the toolkit includes components relating to both population health need and health workforce supply. Different modules were developed to capture the information and address local issues impacting delivery and planning of primary care health services in Toronto.

CONCLUSIONS

A quantitative health workforce planning model is a necessary component of any health workforce planning toolkit. In combination with qualitative tools, it supports integrated, multi-professional, needs-based primary care workforce planning. This type of planning presents an opportunity to address inequities in access and outcome for regional populations.

A critical interpretive synthesis of the roles of midwives in health systems

BACKGROUND

Midwives' roles in sexual and reproductive health and rights continues to evolve. Understanding the profession's role and how midwives can be integrated into health systems is essential in creating evidence-informed policies. Our objective was to develop a theoretical framework of how political system factors and health systems arrangements influence the roles of midwives within the health system.

METHODS

A critical interpretive synthesis was used to develop the theoretical framework. A range of electronic bibliographic databases (CINAHL, EMBASE, Global Health database, HealthSTAR, Health Systems Evidence, MEDLINE and Web of Science) was searched through to 14 May 2020 as were policy and health systems-related and midwifery organisation websites. A coding structure was created to guide the data extraction.

RESULTS

A total of 4533 unique documents were retrieved through electronic searches, of which 4132 were excluded using explicit criteria, leaving 401 potentially relevant records, in addition to the 29 records that were purposively sampled through grey literature. A total of 100 documents were included in the critical interpretive synthesis. The resulting theoretical framework identified the range of political and health system components that can work together to facilitate the integration of midwifery into health systems or act as barriers that restrict the roles of the profession.

CONCLUSIONS

Any changes to the roles of midwives in health systems need to take into account the political system where decisions about their integration will be made as well as the nature of the health system in which they are being integrated. The theoretical framework, which can be thought of as a heuristic, identifies the core contextual factors that governments can use to best leverage their position when working to improve sexual and reproductive health and rights.

The effects of maternity waiting homes on the health workforce and maternal health service delivery in rural Zambia: a qualitative analysis

BACKGROUND

Maternity waiting homes (MWHs) are a potential strategy to address low facility delivery rates resulting from access-associated barriers in resource-limited settings. Within a cluster-randomized controlled trial testing a community-generated MWH model in rural Zambia, we qualitatively assessed how MWHs affect the health workforce and maternal health service delivery at their associated rural health centers.

METHODS

Four rounds of in-depth interviews with district health staff (n = 21) and health center staff (n = 73) were conducted at intervention and control sites over 24 months. We conducted a content analysis using a mixed inductive-deductive approach. Data were interpreted through the lens of the World Health Organzation Health Systems Framework.

RESULTS

Nearly all respondents expressed challenges with understaffing and overwork and reported that increasing numbers of facility-based deliveries driven by MWHs contributed substantively to their workload. Women waiting at MWHs allow staff to monitor a woman's final stage of pregnancy and labor onset, detect complications earlier, and either more confidently manage those complications at the health center or refer to higher level care. District, intervention, and control site respondents passionately discussed this benefit over all time points, describing it as outweighing challenges of additional work associated with MWHs. Intervention site staff repeatedly discussed the benefit of MWHs in providing a space for postpartum women to wait after the first few hours of clinical observation through the first 48 h after delivery. Additionally, intervention site staff perceived the ability to observe women for longer before and after delivery allowed them to better anticipate and plan their own work, adjust their workloads and mindset accordingly, and provide better and more timely care. When understaffing and overwork were frequently discussed, this satisfaction in providing better care was a meaningful departure.

CONCLUSIONS

MWHs may benefit staff at rural health centers and the health system more broadly, allowing for the provision of more timely and comprehensive obstetric care. We recommend future studies consider how MWHs impact the workforce, operations, and service delivery at their associated health facilities. Considering the limited numbers of skilled birth attendants available in rural Zambia, it is important to strategically select locations for new MWHs.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT02620436. Registered December 3, 2015, https://clinicaltrials.gov/ct2/show/NCT02620436.

Multilevel analysis of factors associated with assistance during delivery in rural Nigeria: implications for reducing rural-urban inequity in skilled care at delivery

Background

Studies have observed rural-urban inequity in the use of skilled delivery in Nigeria. A number of studies have explicitly examined associated factors of assistance during delivery in rural areas. However, the studies so far conducted in rural Nigeria have investigated mainly individual-level characteristics with near exclusion of community-level characteristics. Also, most of the studies that have investigated community-level influence on use of maternal healthcare services in Nigeria did not isolate rural areas for specific research attention. The objective of this study was to investigate the individual-level and community-level characteristics associated with assistance during delivery in rural Nigeria.

Methods

The study analysed women data of 2013 Nigeria Demographic and Health Survey. A weighted sample size of 12,665 rural women was analysed. The outcome variable was assistance during delivery, dichotomised into ‘skilled assistance’ and ‘unskilled assistance’. The explanatory variables are selected individual-level characteristics (maternal education, parity, age at first birth, religion, healthcare decision, employment status, access to mass media, and means of transportation); and selected community-level characteristics (community literacy level, community childcare burden, proportion of women employed outside agriculture, proportion of women who perceived distance to facility as a big problem, community poverty level, and geographical region). The mixed-effects logistic regression was applied.

Results

During the most recent deliveries, 23.0% of rural women utilised skilled assistance compared with 77.0% who utilised unskilled assistance. Maternal education, parity, religion, healthcare decision, access to mass media, and means of transportation were the individual-level characteristics that revealed significant effects on the likelihood of utilising skilled assistance during delivery, while community literacy level, community poverty level, community perception of distance to health facility, and geographic region were the community-level characteristics that revealed significant effects on the odds of using skilled assistance during delivery. Results of Intra-Class Correlation (ICC) supported significant community-level effects on the likelihood of using skilled assistance during delivery.

Conclusions

Assistance during delivery is influenced by individual-level and community-level characteristics. Health policies and programmes seeking to reduce rural-urban inequity in skilled delivery should endeavour to identify and address important factors at both the individual and community levels of the social environment.