Cost-benefit analysis of a new HEDIS performance measure for pneumococcal vaccination

Pneumococcal Disease: A Systematic Review of Health Utilities, Resource Use, Costs, and Economic Evaluations of Interventions

BACKGROUND

Pneumococcal diseases cause substantial mortality, morbidity, and economic burden. Evidence on data inputs for economic evaluations of interventions targeting pneumococcal disease is critical.

OBJECTIVES

To summarize evidence on resource use, costs, health utilities, and cost-effectiveness for pneumococcal disease and associated interventions to inform future economic analyses.

METHODS

We searched MEDLINE, Embase, Web of Science, CINAHL, PsycINFO, EconLit, and Cochrane databases for peer-reviewed studies in English on pneumococcal disease that reported health utilities using direct or indirect valuation methods, resource use, costs, or cost-effectiveness of intervention programs, and summarized the evidence descriptively.

RESULTS

We included 383 studies: 9 reporting health utilities, 131 resource use, 160 economic costs of pneumococcal disease, 95 both resource use and costs, and 178 economic evaluations of pneumococcal intervention programs. Health state utility values ranged from 0 to 1 for both meningitis and otitis media and from 0.3 to 0.7 for both pneumonia and sepsis. Hospitalization was shortest for otitis media (range: 0.1-5 days) and longest for sepsis/septicemia (6-48). The main categories of costs reported were drugs, hospitalization, and household or employer costs. Resource use was reported in hospital length of stay and number of contacts with general practitioners. Costs and resource use significantly varied among population ages, disease conditions, and settings. Current vaccination programs for both adults and children, antibiotic use and outreach programs to promote vaccination, early disease detection, and educational programs are cost-effective in most countries.

CONCLUSION

This study has generated a comprehensive repository of health economic evidence on pneumococcal disease that can be used to inform future economic evaluations of pneumococcal disease intervention programs.

[A systematic review on population-based indicators of the quality of care in formal and informal provider networks and their application in health economic evaluations]

BACKGROUND

Provider networks in healthcare can emerge as either formal or informal networks. For sector-encompassing population-based quality measurement in informal networks, which allows for conclusions about the cost-effectiveness of care for home-dwelling persons in need of care, a comprehensive review on suitable quality indicators that can be derived from German social health insurance claims data is still lacking.

OBJECTIVE

Primary review questions: Which population-based indicators of quality of care in formal and informal provider networks are described in the international literature? Which of these indicators are used as outcome parameters in health economic evaluations, and what are the methodological approaches in these evaluations? Rating approaches and methods for establishing thresholds as well as the validity and suitability of quality indicators to predict quality of care as well as the potential for the calculation of quality indicators based on German social health insurance claims data are included in the secondary review questions.

SEARCH METHODS

Databases searched in May 2017 and July 2018 included PubMed, The Cochrane Library und NHS EED, CINAHL, GeroLit and EconLit. In addition, we hand-searched references of the studies identified and screened the project database Health Services Research Germany.

SELECTION CRITERIA

Quantitative design, German or English language. Any kind of formal or informal network for which distinct members regarding single providers are named and population-based quality indicators for adults (18 years or older) are described.

DATA COLLECTION AND ANALYSIS

Two authors (Cohen's Kappa = 0.64) independently screened titles, abstracts and full texts. A third independent reviewer was consulted in cases of uncertainty regarding the inclusion of studies. Critical appraisal was conducted using AMSTAR, the Cochrane Risk-of-Bias Tool, the Newcastle-Ottawa Scale (NOS), the Appraisal Tool for Cross-Sectional Studies (AXIS) and the criteria of the Drummond Checklist.

MAIN RESULTS

137 studies were included, five of which evaluated informal provider networks and applied indicators for medical conditions such as diabetes mellitus or heart failure or events like ambulatory care-sensitive hospitalisations, which were also utilized for formal networks. Five out of 14 health economic evaluations also assessed associations between costs and quality of care. The majority of studies did not include evidence on rating approaches and/or thresholds. Even though the validity and reliability of the used data in single studies is frequently discussed, only one in four of the included studies undertook a discussion of the suitability of the applied indicators. 121 studies explored indicators that can, in whole or in part, potentially be calculated on the basis of German social health insurance claims data and that target medical conditions such as osteoarthritis, asthma, chronic pain, chronic obstructive pulmonary disease, cardiovascular disease, dementia, diabetes mellitus, osteoporosis or mental health disorders as well as ambulatory care-sensitive events, appropriate medication of the elderly and polypharmacy, preventive care and continuity of care.

AUTHORS' CONCLUSIONS

This systematic review identified quality indicators that were predominantly used in formal provider networks and, with sufficient testing and further development, include the possibility of being used for measuring the quality of care in informal networks. The need for further research on suitable approaches to measure the interactions of quality of care and costs and on the validity, reliability and predictive suitability of single indicators as well as the finding that quality indicators especially developed for the German ambulatory sector were rarely used in the included studies constitute promising starting points for both an intensified methodological debate and the critical discussion of issues concerning population-based, sector-encompassing measurement of quality of care in health services research.

Increasing Coverage of Appropriate Vaccinations: A Community Guide Systematic Economic Review

CONTEXT

Population-level coverage for immunization against many vaccine-preventable diseases remains below optimal rates in the U.S. The Community Preventive Services Task Force recently recommended several interventions to increase vaccination coverage based on systematic reviews of the evaluation literature. The present study provides the economic results from those reviews.

EVIDENCE ACQUISITION

A systematic review was conducted (search period, January 1980 through February 2012) to identify economic evaluations of 12 interventions recommended by the Task Force. Evidence was drawn from included studies; estimates were constructed for the population reach of each strategy, cost of implementation, and cost per additional vaccinated person because of the intervention. Analyses were conducted in 2014.

EVIDENCE SYNTHESIS

Reminder systems, whether for clients or providers, were among the lowest-cost strategies to implement and the most cost effective in terms of additional people vaccinated. Strategies involving home visits and combination strategies in community settings were both costly and less cost effective. Strategies based in settings such as schools and MCOs that reached the target population achieved additional vaccinations in the middle range of cost effectiveness.

CONCLUSIONS

The interventions recommended by the Task Force differed in reach, cost, and cost effectiveness. This systematic review presents the economic information for 12 effective strategies to increase vaccination coverage that can guide implementers in their choice of interventions to fit their local needs, available resources, and budget.

Comparison of benefit estimation models in cost-benefit analysis: a case of chronic hypertension management programs

PURPOSE

Cost-benefit analysis is one of the most commonly used economic evaluation methods, which helps to inform the economic value of a program to decision makers. However, the selection of a correct benefit estimation method remains critical for accurate cost-benefit analysis. This paper compared benefit estimations among three different benefit estimation models.

METHODS

Data from community-based chronic hypertension management programs in a city in South Korea were used. Three different benefit estimation methods were compared. The first was a standard deterministic estimation model; second, a repeated-measures deterministic estimation model; and third, a transitional probability estimation model.

RESULTS

The estimated net benefit of the three different methods were $1,273.01, $-3,749.42, and $-5,122.55 respectively.

CONCLUSION

The transitional probability estimation model showed the most correct and realistic benefit estimation, as it traced possible paths of changing status between time points and it accounted for both positive and negative benefits.

Socioeconomic risk factors for bacteraemic pneumococcal pneumonia in adults

Demographic and clinical risk factors are important in guiding vaccination policy for pneumococcal pneumonia. We present data on these variables from a population-based surveillance network covering adult bacteraemic pneumococcal pneumonia (BPP) in the Delaware Valley region from 2002 to 2004. Surveillance data were used with U.S. Census data and a community health survey to calculate stratified incidence rates. Missing data were handled using multiple imputation. Overall rates of adult BPP were 10.6 cases/100 000 person-years. Elevated rates were seen in the elderly (>65 years), Native Americans, African Americans, the less-educated (less than high-school education), the poor, smokers, and individuals with histories of asthma, cancer, or diabetes. Multivariable modelling suggested that income was more robustly associated with risk than African American race. Of methodological interest, this association was not apparent if census block-group median income was used as a proxy for self-reported income. Further research on socioeconomic risk factors for BPP is needed.

Clinical Improvement Associated with Conformance to HEDIS-Based Depression Care

BACKGROUND

Employers recently requested a valid metric of depression treatment quality. Such an indicator needs to measure the proportion of the population in need who receive high-quality care, and to predict clinical improvement.

METHODS

We constructed an administrative database indicator derived from HEDIS criteria for antidepressant medication management, and tested it in 230 employed patients in five health plans.

RESULTS

Indicator rates were 7.0% in the population in need. Conformance to indicator criteria in this population was associated with 23.0% improvement in depression severity over 1 year (p = .02).

CONCLUSIONS

Administrative database indicators that predict clinical improvement are a very rare accomplishment. Existing depression indicators may need to be calculated for the population in need to provide a valid metric for employer purchasers.