2025
Implementation strategies to integrate HIV and hypertension care in Kampala and Wakiso districts, Uganda: study protocol for a stepped wedge cluster randomized trial (PULESA-Uganda)
Longenecker C, Kiggundu J, Ayebare F, Muddu M, Kayima J, Mutungi G, Ssinabulya I, Schwartz J, Spiegelman D, Tong G, Nugent R, Aifah A, Kagoya F, Cameron D, Hutchinson B, Kamya M, Katahoire A, Semitala F. Implementation strategies to integrate HIV and hypertension care in Kampala and Wakiso districts, Uganda: study protocol for a stepped wedge cluster randomized trial (PULESA-Uganda). BMC Health Services Research 2025, 25: 1060. PMID: 40790739, PMCID: PMC12341278, DOI: 10.1186/s12913-025-13281-9.Peer-Reviewed Original ResearchMeSH KeywordsAntihypertensive AgentsCost-Benefit AnalysisDelivery of Health Care, IntegratedHIV InfectionsHumansHypertensionRandomized Controlled Trials as TopicUgandaConceptsCluster randomized trialHypertension careHIV clinicHealth workersWakiso districtStepped-wedge cluster randomized trialRates of HIV viral suppressionImplementation strategiesQuality HIV careClinical health workersBaseline hypertension prevalenceResource intensive strategyFacility-based costsLife expectancy gainsHIV viral suppressionBP controlPatient BP controlHTN careHuman-centered design approachRandomized trialsHIV careImplementation outcomesHypertension prevalencePre-implementationNon-AIDS comorbidities
2017
Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely.
Spiegelman D, Khudyakov P, Wang M, Vanderweele TJ. Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely. American Journal Of Public Health 2017, 108: 73-76. PMID: 29161073, PMCID: PMC5719681, DOI: 10.2105/ajph.2017.304105.Peer-Reviewed Original ResearchMeSH KeywordsCost-Benefit AnalysisHumansModels, StatisticalOdds RatioPublic HealthQuality-Adjusted Life YearsResearch DesignRisk FactorsConceptsRisk factor distributionRisk ratioLife yearsEffect measuresDisability-adjusted life yearsIncremental cost-effectiveness ratioPopulation attributable riskQuality-adjusted life yearsCost-effectiveness ratioPublic health interventionsPublic health evaluationYears of lifeMeasure of effectRisk factorsRelative riskStudy populationRisk differenceHealth interventionsIntervention effectsAbsolute effect measuresHealth evaluationExternal generalizabilityRiskAbsolute measuresPopulation
2005
A Comparison of the Clinical and Cost-Effectiveness of 3 Intervention Strategies for AIDS Wasting
Shevitz AH, Wilson IB, McDermott AY, Spiegelman D, Skinner SC, Antonsson K, Layne JE, Beaston-Blaakman A, Shepard DS, Gorbach SL. A Comparison of the Clinical and Cost-Effectiveness of 3 Intervention Strategies for AIDS Wasting. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2005, 38: 399-406. PMID: 15764956, DOI: 10.1097/01.qai.0000152647.89008.2b.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnabolic AgentsAntiretroviral Therapy, Highly ActiveBody CompositionCost-Benefit AnalysisDietFemaleHealth StatusHIV Wasting SyndromeHumansMaleMassachusettsMiddle AgedMuscle, SkeletalNutritional Physiological PhenomenaOxandrolonePhysical Education and TrainingQuality of LifeTreatment OutcomeConceptsProgressive resistance trainingCross-sectional muscle areaPhysical functioningCost-effective interventionAIDS wastingLeast cost-effective interventionBaseline physical functioningQuality of lifeInstitutional costsPlacebo pillsResistance trainingCaloric intakeProtein intakeBody compositionStrength training
1991
Cost-efficient study designs for binary response data with Gaussian covariate measurement error.
Spiegelman D, Gray R. Cost-efficient study designs for binary response data with Gaussian covariate measurement error. Biometrics 1991, 47: 851-69. PMID: 1789885, DOI: 10.2307/2532644.Peer-Reviewed Original ResearchConceptsStudy designValidation studyEpidemiologic cohort studiesOverall sample sizeExposure measurementsCohort studyOutcome ascertainmentRelative riskExposure measurement methodsSample of subjectsExposure variablesOptimal study designDisease frequencySample sizeInternal validation studyExposure assessmentValidation substudySubjectsPrimary investigationBest methodProportionSubstudyStudy
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