BACKGROUND
In 2024, the World Health Organization released a report on Priorities for Research on Hypertension Care Delivery. This article provides its executive summary.
METHODS
The World Health Organization and its technical experts formed a leadership team, developed a scope and objectives, created a thematic framework, developed a survey for each theme, and identified research priorities. The 5 themes included (1) Health care workforce for hypertension care delivery, (2) Service delivery system/models, (3) Patient retention/adherence, (4) Financing the care delivery system, and (5) Research gaps identified in the World Health Organization 2021 Hypertension Guideline. The leadership team received feedback from diverse experts through webinars and online surveys. The final report was peer-reviewed by external experts.
RESULTS
According to postwebinar surveys, we identified 5 to 7 research priorities within each theme, totaling 29 research priorities. The 10 highest priorities were (1) Cost-effectiveness of combination therapy in low/middle-income countries, (2) A system allowing hypertension care closer to home, (3) Health system reform allowing trained community health workers to refill/initiate/titrate antihypertensive medications, (4) Health system reform allowing nurses to diagnose and treat hypertension, (5) Gaps in the medication supply chain, (6) New approaches integrating the management of hypertension and other diseases, (7) Digital approaches for improving medication adherence, (8) Optimal approaches to train health care workers, (9) Approaches to finance hypertension control programs, and (10) Implementation research on task-sharing approaches.
CONCLUSIONS
These research priorities provide guidance to researchers, with immediate implications for substantially improve hypertension care and prevent its sequelae. We urge governments, funding agencies, and organizations to consider supporting these research topics.
BACKGROUND
Humanitarian crises bring unique, and potentially growing challenges to people with type 1 diabetes (T1D). We aimed to determine, in youth with T1D (mean age (± 1SD) 0–17.9 years) within and coming from humanitarian crises settings (HCS), the reported prevalence that meet international consensus targets for glycaemic, blood pressure and lipid management, and incidence of severe hypoglycaemia or diabetic ketoacidosis.
METHODS
A narrative review of quantitative data was conducted, using a systematic process. MEDLINE (Ovid), Global Health, Web of Science, Scopus, Embase, CINAHL, APA PsycINFO, Cochrane trials, and the reference lists of eligible records were searched (January 2014-February 2024); ten records covering ten separate studies were retrieved.
RESULTS
Glycaemic management was consistently suboptimal in HCS. However, among individuals coming from HCS, glycaemia varied. Across both groups, data relating to blood pressure, lipids, severe hypoglycaemia or diabetic ketoacidosis were either unavailable or limited.
CONCLUSION
Findings expose the dearth of data relating to defined youth with T1D within and coming from HCS, leaving the status of this population largely uncharacterised. With limited data indicating suboptimal T1D management, there is a pressing need for the development of a consensus guideline on, and core indicators relating to such youth within and coming from HCS, plus monitoring systems and outcome data.
INTRODUCTION
The severe consequences of acute kidney injury (AKI) have been well-documented in high-risk patient populations. However, the effects of milder forms in non-critically ill patients remain understudied, particularly in resource-limited settings. While the risk of mortality associated with these cases is considered low, it can still lead to various complications including prolonged hospitalization, which may influence long-term renal and patient survival. Hence, the objective of this study was to study the impact of non-dialysis-requiring AKI (NDR-AKI) on survival outcomes of non-critically ill medical patients admitted to St. Paul’s Hospital Millennium Medical College in Ethiopia during the period from July 2019 to January 2022.
METHODS
A retrospective cohort study was conducted among 300 non-critically ill medical patients, 93 with NDR-AKI and 207 without AKI. Descriptive statistics, including frequency distributions and median survival times, were employed to summarize the data. Kaplan-Meier curves and the log-rank test were utilized to compare survival experiences of groups. A Cox proportional hazards survival model was fitted to estimate the impact of NDR-AKI on time to recovery. Adjusted hazard ratio (AHR) with 95% confidence interval (CI) was used to report findings.
RESULTS
Two hundred four (68.0%) were discharged after improvement and the median recovery time was 16 days (95%CI: 13.5-18.5 days). Having NDR-AKI was associated with a 43% lower rate of achieving recovery (AHR=0.57, 95%CI=0.38, 0.84, p-value=0.004). Females were found to have a 1.41 times higher rate of recovery (AHR=1.41, 95%CI=1.03,1.94, p-value=0.033). Additionally, having tuberculosis (AHR=0.41, 95%CI=0.23,0.72, p-value=0.002) and being on anticoagulant (AHR=0.67, 95%CI=0.47,0.95, p-value=0.027) were associated with a 59% and 33% lower rate of recovery, respectively.
CONCLUSION
NDR-AKI significantly delays recovery compared to patients without AKI suggesting that even milder forms of AKI in non-critically ill patients can negatively impact patient outcomes. Early identification, prompt management, and addressing underlying causes are key to improving recovery and reducing long-term morbidity and mortality. Strict screening and monitoring of high-risk groups such as men, patients with tuberculosis, and those on anticoagulants is also crucial.
AIMS
Most glucose self-monitoring devices have been developed with high-income countries in mind. We developed a target product profile (TPP) for new glucose self-monitoring technologies for users in low- and middle-income countries (LMICs).
METHODS
A draft TPP including 39 characteristics was developed by an expert group including diabetes specialists, device specialists, and people with diabetes, incorporating findings from qualitative research in LMICs. Each characteristic had minimal and optimal requirements for two use cases, frequent and sporadic use. Characteristics requiring refinement were identified via online survey. Characteristics with agreement level <90% for any requirement were reviewed by the expert group and amended as appropriate.
RESULTS
One characteristic (shelf life) had agreement <75% (both requirements for both use cases). Characteristics with agreement ≥75% and <90% for the frequent use case included infrastructure level, measurement cycle, duration of use before replacement, interchangeability, and calibration (both requirements), and activity log and price per month to end payer (minimal requirement). Intended use (both requirements), accuracy, and price per month to end payer (optimal requirement) had agreement ≥75% and <90% for the sporadic use case.
CONCLUSIONS
This TPP will inform developers on requirements for glucose self-monitoring technologies for LMICs, and support decision-makers in evaluating existing devices.