A cluster-randomized trial of client and provider directed financial interventions to align incentives with appropriate case management in private medicine retailers: results of the TESTsmART Trial in Lagos, Nigeria

Malaria remains a major health priority in Nigeria. Among children with fever who seek care, less than a quarter gets tested for malaria, leading to inappropriate use of the recommended treatment for malaria; Artemether Combination Therapies (ACT). Here we test an innovative strategy to target ACT subsidies to clients seeking care in Nigeria's private retail health sector who have a confirmed malaria diagnosis. We supported point-of-care malaria testing (mRDTs) in 48 Private Medicine Retailers (PMRs) in the city of Lagos, Nigeria and randomized them to two study arms; a control arm offering subsidized mRDT testing for USD $0.66, and an intervention arm where, in addition to access to subsidized testing as in the control arm, clients who received a positive mRDT at the PMR were eligible for a free (fully subsidized) first-line ACT and PMRs received USD $0.2 for every mRDT performed. Our primary outcome was the proportion of ACTs dispensed to individuals with a positive diagnostic test. Secondary outcomes included proportion of clients who were tested at the PMR and adherence to diagnostic test results. Overall, 23% of clients chose to test at the PMR. Test results seemed to inform treatment decisions and resulted in enhanced targeting of ACTs to confirmed malaria cases with only 26% of test-negative clients purchasing an ACT compared to 58% of untested clients. However, the intervention did not offer further improvements, compared to the control arm, in testing rates or dispensing of ACTs to test-positive clients. We found that ACT subsidies were not passed on to clients testing positive in the intervention arm. We conclude that RDTs could reduce ACT overconsumption in Nigeria's private retail health sector, but PMR-oriented incentive structures are difficult to implement and may need to be complemented with interventions targeting clients of PMRs to increase test uptake and adherence. Clinical Trials Registration Number: NCT04428307.

A cluster-randomized trial of client and provider-directed financial interventions to align incentives with appropriate case management in retail medicine outlets: results of the TESTsmART Trial in western Kenya

ACTs are responsible for a substantial proportion of the global reduction in malaria mortality over the last ten years. These reductions would not have been possible without publicly-funded subsidies making these drugs accessible and affordable in the private sector. However, inexpensive ACTs available in retail outlets have contributed substantially to their overconsumption. We test an innovative, scalable, and sustainable strategy to target ACT subsidies to clients with a confirmatory diagnosis. We supported point-of-care malaria testing (mRDTs) in 39 retail medicine outlets in western Kenya and randomized them to three study arms; control arm offering subsidized RDT testing for 0.4USD, client-directed intervention where all clients who received a positive RDT at the outlet were eligible for a free (fully subsidized) first-line ACT, and a combined client and provider directed intervention where clients with a positive RDT were eligible for free ACT and outlets received 0.1USD for every RDT performed. Our primary outcome was the proportion of ACT dispensed to individuals with a positive diagnostic test. Secondary outcomes included proportion of clients tested at the outlet and adherence to diagnostic test results. 43% of clients chose to test at the outlet. Test results informed treatment decisions and resulted in targeting of ACTs to confirmed malaria cases - 25.3% of test-negative clients purchased an ACT compared to 75% of untested clients. Client-directed and client+provider-directed interventions did not offer further improvements, compared to the control arm, in testing rates (RD=0.09, 95%CI:-0.08,0.26) or dispensing of ACTs to test-positive clients (RD=0.01,95% CI: -0.14, 0.16). Clients were often unaware of the price they paid for the ACT leading to uncertainty in whether the ACT subsidy was passed on to the client. We conclude that mRDTs could reduce ACT overconsumption in the private retail sector, but incentive structures are difficult to scale and their value to private providers is uncertain.

Does This Child With High Blood Pressure Have Secondary Hypertension?: The Rational Clinical Examination Systematic Review

Importance

Guidelines recommend that all children and adolescents with hypertension undergo evaluation for secondary causes. Identifying clinical factors associated with secondary hypertension may decrease unnecessary testing for those with primary hypertension.

Objective

To determine the utility of the clinical history, physical examination, and 24-hour ambulatory blood pressure monitoring for differentiating primary hypertension from secondary hypertension in children and adolescents (aged ≤21 years).

Data Sources and Study Selection

The databases of MEDLINE, PubMed Central, Embase, Web of Science, and Cochrane Library were searched from inception to January 2022 without language limits. Two authors identified studies describing clinical characteristics in children and adolescents with primary and secondary hypertension.

Data Extraction and Synthesis

For each clinical finding in each study, a 2 × 2 table was created that included the number of patients with and without the finding who had primary vs secondary hypertension. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool.

Main Outcomes and Measures

Random-effects modeling was used to calculate sensitivity, specificity, and likelihood ratios (LRs).

Results

Of 3254 unique titles and abstracts screened, 30 studies met inclusion criteria for the meta-analysis and 23 (N = 4210 children and adolescents) were used for pooling in the meta-analysis. In the 3 studies conducted at primary care clinics or school-based screening clinics, the prevalence of secondary hypertension was 9.0% (95% CI, 4.5%-15.0%). In the 20 studies conducted at subspecialty clinics, the prevalence of secondary hypertension was 44% (95% CI, 36%-53%). The demographic findings most strongly associated with secondary hypertension were family history of secondary hypertension (sensitivity, 0.46; specificity, 0.90; LR, 4.7 [95% CI, 2.9-7.6]), weight in the 10th percentile or lower for age and sex (sensitivity, 0.27; specificity, 0.94; LR, 4.5 [95% CI, 1.2-18]), history of prematurity (sensitivity range, 0.17-0.33; specificity range, 0.86-0.94; LR range, 2.3-2.8), and age of 6 years or younger (sensitivity range, 0.25-0.36; specificity range, 0.86-0.88; LR range, 2.2-2.6). Laboratory studies most associated with secondary hypertension were microalbuminuria (sensitivity, 0.13; specificity, 0.99; LR, 13 [95% CI, 3.1-53]) and serum uric acid concentration of 5.5 mg/dL or lower (sensitivity range, 0.70-0.73; specificity range, 0.65-0.89; LR range, 2.1-6.3). Increased daytime diastolic blood pressure load combined with increased nocturnal systolic blood pressure load on 24-hour ambulatory blood pressure monitoring was associated with secondary hypertension (sensitivity, 0.40; specificity, 0.82; LR, 4.8 [95% CI, 1.2-20]). Findings associated with a decreased likelihood of secondary hypertension were asymptomatic presentation (LR range, 0.19-0.36), obesity (LR, 0.34 [95% CI, 0.13-0.90]), and family history of any hypertension (LR, 0.42 [95% CI, 0.30-0.57]). Hypertension stage, headache, and left ventricular hypertrophy did not distinguish secondary from primary hypertension.

Conclusions and Relevance

Family history of secondary hypertension, younger age, lower body weight, and increased blood pressure load using 24-hour ambulatory blood pressure monitoring were associated with a higher likelihood of secondary hypertension. No individual sign or symptom definitively differentiates secondary hypertension from primary hypertension.

Prevalence of Secondary Hypertension in Otherwise Healthy Youths with a New Diagnosis of Hypertension: A Meta-Analysis

OBJECTIVE

To estimate the prevalence of secondary hypertension among otherwise healthy children with hypertension diagnosed in the outpatient setting.

STUDY DESIGN

The MEDLINE, PubMed Central, Embase, Web of Science, and Cochrane Library databases were systematically searched for observational studies reporting the prevalence of secondary hypertension in children who underwent evaluation for hypertension and had no known comorbidities associated with hypertension at the time of diagnosis. Two authors independently extracted the study-specific prevalence of secondary hypertension in children evaluated for hypertension. Prevalence estimates for secondary hypertension were pooled in a random-effects meta-analysis.

RESULTS

Nineteen prospective studies and 7 retrospective studies including 2575 children with hypertension were analyzed, with a median of 65 participants (range, 9-486) in each study. Studies conducted in primary care or school settings reported a lower prevalence of secondary hypertension (3.7%; 95% CI, 1.2%-7.2%) compared with studies conducted in referral clinics (20.1%; 95% CI, 11.5%-30.3%). When stratified by study setting, there were no significant subgroup differences according to study design, country, participant age range, hypertension definition, blood pressure device, or study quality. Although the studies applied different approaches to diagnosing secondary hypertension, diagnostic evaluations were at least as involved as the limited testing recommended by current guidelines.

CONCLUSIONS

The low prevalence of secondary hypertension among children with a new diagnosis of hypertension identified on screening reinforces clinical practice guidelines to avoid extensive testing in the primary care setting for secondary causes in most children with hypertension.

Real-Time Prediction of Acute Kidney Injury in Hospitalized Adults: Implementation and Proof of Concept

RATIONALE & OBJECTIVE

Acute kidney injury (AKI) is diagnosed based on changes in serum creatinine concentration, a late marker of this syndrome. Algorithms that predict elevated risk for AKI are of great interest, but no studies have incorporated such an algorithm into the electronic health record to assist with clinical care. We describe the experience of implementing such an algorithm.

STUDY DESIGN

Prospective observational cohort study.

SETTING & PARTICIPANTS

2,856 hospitalized adults in a single urban tertiary-care hospital with an algorithm-predicted risk for AKI in the next 24 hours>15%. Alerts were also used to target a convenience sample of 100 patients for measurement of 16 urine and 6 blood biomarkers.

EXPOSURE

Clinical characteristics at the time of pre-AKI alert.

OUTCOME

AKI within 24 hours of pre-AKI alert (AKI₂₄).

ANALYTICAL APPROACH

Descriptive statistics and univariable associations.

RESULTS

At enrollment, mean predicted probability of AKI₂₄ was 19.1%; 18.9% of patients went on to develop AKI₂₄. Outcomes were generally poor among this population, with 29% inpatient mortality among those who developed AKI₂₄ and 14% among those who did not (P<0.001). Systolic blood pressure<100mm Hg (28% of patients with AKI₂₄ vs 18% without), heart rate>100 beats/min (32% of patients with AKI₂₄ vs 24% without), and oxygen saturation<92% (15% of patients with AKI₂₄ vs 6% without) were all more common among those who developed AKI₂₄. Of all biomarkers measured, only hyaline casts on urine microscopy (72% of patients with AKI₂₄ vs 25% without) and fractional excretion of urea nitrogen (20% [IQR, 12%-36%] among patients with AKI₂₄ vs 34% [IQR, 25%-44%] without) differed between those who did and did not develop AKI₂₄.

LIMITATIONS

Single-center study, reliance on serum creatinine level for AKI diagnosis, small number of patients undergoing biomarker evaluation.

CONCLUSIONS

A real-time AKI risk model was successfully integrated into the EHR.

A Time-Updated, Parsimonious Model to Predict AKI in Hospitalized Children

BACKGROUND

Timely prediction of AKI in children can allow for targeted interventions, but the wealth of data in the electronic health record poses unique modeling challenges.

METHODS

We retrospectively reviewed the electronic medical records of all children younger than 18 years old who had at least two creatinine values measured during a hospital admission from January 2014 through January 2018. We divided the study population into derivation, and internal and external validation cohorts, and used five feature selection techniques to select 10 of 720 potentially predictive variables from the electronic health records. Model performance was assessed by the area under the receiver operating characteristic curve in the validation cohorts. The primary outcome was development of AKI (per the Kidney Disease Improving Global Outcomes creatinine definition) within a moving 48-hour window. Secondary outcomes included severe AKI (stage 2 or 3), inpatient mortality, and length of stay.

RESULTS

Among 8473 encounters studied, AKI occurred in 516 (10.2%), 207 (9%), and 27 (2.5%) encounters in the derivation, and internal and external validation cohorts, respectively. The highest-performing model used a machine learning-based genetic algorithm, with an overall receiver operating characteristic curve in the internal validation cohort of 0.76 [95% confidence interval (CI), 0.72 to 0.79] for AKI, 0.79 (95% CI, 0.74 to 0.83) for severe AKI, and 0.81 (95% CI, 0.77 to 0.86) for neonatal AKI. To translate this prediction model into a clinical risk-stratification tool, we identified high- and low-risk threshold points.

CONCLUSIONS

Using various machine learning algorithms, we identified and validated a time-updated prediction model of ten readily available electronic health record variables to accurately predict imminent AKI in hospitalized children.