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A primary health care model for managing pre-eclampsia and eclampsia in low- and middle- income countries.

ABSTRACT: BACKGROUND:Hypertensive disorders in pregnancy, specifically pre-eclampsia and eclampsia (PE/E), are the second biggest killer of pregnant women globally and remains the least understood and most challenging maternal morbidity to manage. Although great strides were made in reducing maternal and newborn mortality between 1990 and 2015, this was clearly not enough to achieve the global health goals. To reduce maternal deaths: 1) early detection of PE needs to be improved; 2) effective management of PE/E needs to occur at lower health system levels and should encourage timely care-seeking; and 3) prioritizing the scale up of a comprehensive package of services near to where women live. FINDINGS:This commentary describes a pragmatic approach to test scalable and sustainable strategies for expanding access to quality under-utilized maternal health commodities, interventions and services. We present a primary health care (PHC) PE/E Model based on implementation research on identified gaps in care in several countries, accepted global best practice and built on the basic premise that PHC providers can take on additional skills with adequate capacity building, coaching and supervision, and community members desire control over their own health. The PHC PE/E model displays the linkages and opportunities to prevent and treat PE/E in a simplified way; however, there are numerous interlinking factors, angles, and critical points to consider including leadership, policies and protocols; relevant medicines and commodities, ongoing capacity building strategies at lower levels and understanding what women and their communities want for safe pregnancies. CONCLUSION:The PHC model described here uses PE/E as an entry to improve the quality of ANC and by extension the pregnancy continuum. Bringing preventive and treatment services nearer to where pregnant women live makes sense.

SUBMITTER: Warren CE

PROVIDER: S-EPMC7132984 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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A primary health care model for managing pre-eclampsia and eclampsia in low- and middle- income countries.

Warren Charlotte E CE Hossain Sharif Mohammed Ismail SMI Ishaku Salisu S Armbruster Deborah D Hillman Emily E

Reproductive health 20200406 1

<h4>Background</h4>Hypertensive disorders in pregnancy, specifically pre-eclampsia and eclampsia (PE/E), are the second biggest killer of pregnant women globally and remains the least understood and most challenging maternal morbidity to manage. Although great strides were made in reducing maternal and newborn mortality between 1990 and 2015, this was clearly not enough to achieve the global health goals. To reduce maternal deaths: 1) early detection of PE needs to be improved; 2) effective mana ...[more]

PMID: 32252775

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Project description:BackgroundPrimary healthcare (PHC) systems attain improved health outcomes and fairness and are affordable. However, the proportion of PHC spending to Total Current Health Expenditure in Kenya reduced from 63.4% in 2016/17 to 53.9% in 2020/21 while external funding reduced from 28.3% (Ksh 69.4 billion) to 23.9% (Ksh 68.2 billion) over the same period. This reduction in PHC spending negatively affects PHC performance and the overall health system goals.MethodsWe conducted a cost-benefit analysis and computed costs against the economic benefits of a PHC scale-up. Activity-Based Costing (ABC) on the provider perspective was employed to estimate the incremental costs. The OneHealth Tool was used to estimate the health impact of operationalizing PHC over five years. Finally, we quantified Return on Investment (ROI) by estimating monetized DALYs based on a constant value per statistical life year (VSLY) derived from a VSL estimate.ResultsThe total projected cost of PHC interventions in the Kenya was Ksh 1.65 trillion (USD 15,581.91 billion). Human resource was the main cost driver accounting for 75% of the total cost. PHC investments avert 64,430,316 Disability Adjusted Life-Years (DALYs) and generate cost savings of Ksh. 21.5 trillion (USD 204.4 Billion) over five years. Shifting services from high-level facilities to PHC facilities generates Ksh 198.2 billion (USD 1.9 billion) and yields a benefit-cost ratio of 16:1 in 5 years. Thus, every $1 invested in PHC interventions saves up to $16 in spending on conditions like stunting, NCDs, anaemia, TB, Malaria, and maternal and child health morbidity.ConclusionsEvidence of the economic benefits of continued prioritization of funding for PHC can strengthen the advocacy argument for increased domestic and external financing of PHC in Kenya. A well-resourced and functional PHC system translates to substantial health benefits with positive economic benefits. Therefore, governments and stakeholders should increase investments in PHC to accelerate economic growth.

Project description:AimsThis systematic review compiled evidence on interventions to reduce mental health-related stigma in primary health care (PHC) in low- and middle-income countries (LMICs). Studies targeting PHC staff (including non-professionals) were included. Primary outcomes were stigmatising attitudes and discriminatory behaviours.MethodsData collection included two strategies. First, previous systematic reviews were searched for studies that met the inclusion criteria of the current review. Second, a new search was done, covering the time since the previous reviews, i.e. January 2013 to May 2017. Five search concepts were combined in order to capture relevant literature: stigma, mental health, intervention, PHC staff and LMICs. A qualitative analysis of all included full-texts was done with software MAXQDA. Full-texts were analysed with regards to the content of interventions, didactic methods, mental disorders, cultural adaptation, type of outcome measure and primary outcomes. Furthermore, a risk of bias assessment was undertaken.ResultsA total of 18 studies were included. Risk of bias was rated as high in most included studies. Only six studies had tested their intervention against a control condition, two of which had used random allocation. Most frequently used interventions were lectures providing theoretical information. Many studies also used interactive methods (N = 9), discussed case studies (N = 8) or used role plays (N = 5). Three studies reported that they had used clinical practice and supervision. Results of these studies were mixed. No or little effects were found for brief training interventions (e.g. 1 h to 1 day). Longer training interventions with more sophisticated didactic methods produced statistically significant changes in validated stigma questionnaires. These results have to be interpreted with caution due to risk of bias. Methods for cultural adaptation of interventions were rarely documented.ConclusionsMore rigorous trials are needed in LMICs to test interventions that target discriminatory behaviours in relationship with patients. Cultural adaptation of stigma interventions and structural/institutional factors should be more explicitly addressed in such trials.

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Project description:BackgroundRecording and reporting health data in facilities is the backbone of routine health information systems which provide data collected by health facility workers during service provision. Data is firstly collected in a register, to record patient health data and care process, and tallied into nationally designed reporting forms. While there is anecdotal evidence of large numbers of registers and reporting forms for primary health care (PHC) facilities, there are few systematic studies to document this potential burden on health workers. This multi-country study aimed to document the numbers of registers and reporting forms use at the PHC level and to estimate the time it requires for health workers to meet data demands.MethodsIn Cambodia, Ghana, Mozambique, Nigeria and Tanzania, a desk review was conducted to document registers and reporting forms mandated at the PHC level. In each country, visits to 16 randomly selected public PHC facilities followed to assess the time spent on paper-based recording and reporting. Information was collected through self-reports of estimated time use by health workers, and observation of 1360 provider-patient interactions. Data was primarily collected in outpatient care (OPD), antenatal care (ANC), immunization (EPI), family planning (FP), HIV and Tuberculosis (TB) services.ResultCross-countries, the average number of registers was 34 (ranging between 16 and 48). Of those, 77% were verified in use and each register line had at least 20 cells to be completed per patient. The mean time spent on recording was about one-third the total consultation time for OPD, FP, ANC and EPI services combined. Cross-countries, the average number of monthly reporting forms was 35 (ranging between 19 and 52) of which 78% were verified in use. The estimated time to complete monthly reporting forms was 9 h (ranging between 4 to 15 h) per month per health worker.ConclusionsPHC facilities are mandated to use many registers and reporting forms pausing a considerable burden to health workers. Service delivery systems are expected to vary, however an imperative need remains to invest in international standards of facility-based registers and reporting forms, to ensure regular, comparable, quality-driven facility data collection and use.

Dataset Information

A primary health care model for managing pre-eclampsia and eclampsia in low- and middle- income countries.

Publications

A primary health care model for managing pre-eclampsia and eclampsia in low- and middle- income countries.

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