| Literature DB >> 30587185 |
Isabelle Feldhaus1, Inke Mathauer2.
Abstract
BACKGROUND: Strategic purchasing of health care services has become a key policy measure on the path to achieving universal health coverage. National provider payment systems for health services are typically characterized by mixes of provider payment methods with each method associated with distinct incentives for provider behaviours. Reaching incentive alignment across methods is critical to enhancing the effectiveness of strategic purchasing.Entities:
Keywords: Blended payment; Bundled payment; Integrated care; Provider payment; Strategic purchasing
Mesh:
Year: 2018 PMID: 30587185 PMCID: PMC6307240 DOI: 10.1186/s12913-018-3779-1
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Conceptual framework of a mixed provider payment system with interacting incentives influencing provider behaviour toward health system-level outcomes
Overview of aligned provider payment mixes selected for this review
Source: Adapted from Charlesworth et al. (2012) [66] and OECD (2016) [17].
Search terms by category
| Domain | Search terms |
|---|---|
| 1. Purchasing | “strategic purchasing” |
| “active purchasing” | |
| 2. Provider payment | “provider payment” |
| “blended payment” | |
| “bundled payment” | |
| “value-based purchasing” | |
| “results based financing” | |
| “pay for performance” | |
| 3. Cost sharing | “cost sharing” |
| “benefit package design” | |
| “benefit design” | |
| “referral rules” | |
| 4. Demand-supply alignment | demand |
| supply | |
| alignment | |
| realignment | |
| “multiple payers” | |
| 5. Chronic conditions | “noncommunicable disease” |
| “non-communicable disease” | |
| “chronic disease” | |
| “chronic-disease” | |
| “disease management” | |
| 6. Primary health care | “primary health care” |
| “primary care” | |
| “primary prevention” | |
| 7. Integrated care | “integrated care delivery” |
| “integrated care management” | |
| “care integration” | |
| “integrated care” | |
| “continuum of care” | |
| “provider network” | |
| “systems integration” | |
| “delivery of health care, integrated” | |
| “health delivery” AND “integration” |
Note: Search terms within domains were combined using “OR”, and domains 1–4 were combined with other domains using “AND”
Summary of reviewed articles reporting effects on health expenditure growth, efficiency, and equity
| Article | Effects | Author | ||||||
|---|---|---|---|---|---|---|---|---|
| Country | Year | Type of provider payment mix | Methods | Data | HE growth | Efficiency | Equity | |
| Australia | 2015 | Cost sharing (rebates) | Qualitative analysis | In-depth patient interviews | + | Foster & Mitchell [ | ||
| FFS-PFC blended payment | + | |||||||
| Austria, Denmark, France, Germany | 2016 | FFS-PFC blended payment | Difference-in-differences analysis | Panel cost data | 0 | Tsiachristas et al. [ | ||
| Austria, Germany | 2012 | FFS-PFC blended payment | Case study | Published literature, DISMEVAL project | + | + / 0 | Nolte et al. [ | |
| Belgium, Italy, Japan, Netherlands, Sweden, Taiwan, United Kingdom, United States | 2012 | Bundled payment | Systematic review | Published literature | + (hospital, ambulatory)- (outpatient, post-acute) | + | Hussey et al. [ | |
| Canada | 2011 | CAP-PFP blended payment | Policy analysis | Published literature, semi-structured interviews with observers | + | + | Hutchison et al. [ | |
| FFS-PFP blended payment | + | |||||||
| Canada | 2015 | FFS-CAP blended payment | Nonlinear regression model | Population-based administrative records | + | Kiran et al. [ | ||
| Canada | 2015 | FFS-PFP blended payment | Cost analysis with propensity score matching | Administrative records of costs and utilization by disease group | + / - | + | Hollander & Kadlec [ | |
| China | 2010 | FFS-CAP blended payment | Systematic review | Published literature, official documents | 0 | Yip et al. [ | ||
| Pay-for-performance | + | |||||||
| Estonia, Portugal, United Kingdom | 2016 | CAP-PFP blended payment | Difference-in-differences analysis | Panel cost data | + (administrative, hospital) | Tsiachristas et al. [ | ||
| France | 2016 | FFS-PFP blended payment | Difference-in-differences analysis | Panel cost data | + (administrative, hospital) | Tsiachristas et al. [ | ||
| Germany | 2010 | Pay-for-coordination | Multivariate regression analysis | Cohort study of type 2 diabetes patients | + | Schafer et al. [ | ||
| Germany | 2010 | Pay-for-coordination | Cost analysis with propensity score matching | Insurance claims records | + | + | Stock et al. [ | |
| Germany, Netherlands | 2016 | Bundled payment | Difference-in-differences analysis | Panel cost data | + (outpatient) | Tsiachristas et al. [ | ||
| Hungary | CAP-PFC blended payment | 0 | ||||||
| Netherlands | 2012 | Disease-based bundled payment | Case study | Published literature, DISMEVAL project | 0 | Nolte et al. [ | ||
| Netherlands | 2012 | Disease-based bundled payment | Multilevel, random effects meta-analysis model | Individual patient data on performance indicators of processes and outcomes, DISMEVAL project | + | Elissen et al. [ | ||
| Netherlands | 2013 | Disease-based bundled payment | Case study | Published literature, official documents | + | + | Froimson et al. [ | |
| Netherlands | 2013 | Disease-based bundled payment | Qualitative analysis | Semi-structured interviews with providers | + / - | Raaijmakers et al. [ | ||
| Netherlands, Germany | 2014 | Disease-based bundled payment | Case study | Published literature, expert interviews | – | Busse & Stahl [ | ||
| Shared savings | + | |||||||
| Thailand | 2015 | FFS-CAP blended payment | Document review | Official and grey documents, published literature | + | + | + | Tangcharoensathien et al. [ |
| United Kingdom | 2009 | Pay-for-performance | Multivariate logistic regression analysis | Cross-sectional surveys | + | + | Millett et al. [ | |
| United States | 1995 | Episode-based bundled payment | Case study | Narrative | + | Edmonds & Hallman [ | ||
| United States | 2007 | Pay-for-performance | Descriptive analysis | Aggregated patient data | + | + | Casale et al. [ | |
| United States | 2012 | Pay-for-coordination | Systematic review | Peer-reviewed studies, published reports | + | Basu et al. [ | ||
| United States | 2013 | Episode-based bundled payment | Case study | Document review | 0 | Chambers et al. [ | ||
| United States | 2014 | Bundled payment (varied) | Issue brief | Document review | + | + | Bachrach et al. [ | |
| United States | 2014 | Episode-based bundled payment | Budget impact model | Cost data from the US Renal Data System | + | Liu et al. [ | ||
| United States | 2015 | Episode-based bundled payment | Case study | Patient episode data | + | + | Doran & Zabinski [ | |
| United States | 2015 | Episode-based bundled payment | Experimental comparison study | Claims data | + | + | Froemke et al. [ | |
| United States | 2015 | Episode-based bundled payment | Case study | Claims data | + | Iorio [ | ||
| United States | 2015 | Episode-based bundled payment | Comparative descriptive analysis | Acute care hospital participant data | 0 | Tsai et al. [ | ||
| United States | 2015 | Episode-based bundled payment | Descriptive analysis | Patient and claims data, routine quality metrics | + / 0 | + | Whitcomb et al. [ | |
| United States | 2015 | Gainsharing | Experimental comparison study | Claims data | + | + | Froemke et al. [ | |
| United States | 2015 | Episode-based bundled payment | Case study | Narrative | + | + | Wagner [ | |
| Pay-for-performance | + | + | ||||||
| Shared savings | + | + | ||||||
| United States | 2015 | Shared savings | Case study | Narrative | + | + | Kuhn & Lehn [ | |
| United States | 2016 | Episode-based bundled payment | Descriptive analysis | Patient episode data | + | + | Bolz & Iorio [ | |
| United States | 2016 | Episode-based bundled payment | Experimental comparison study | Individual patient and episode reimbursement data | 0 | + | Courtney et al. [ | |
| United States | 2016 | Episode-based bundled payment | Case study | Narrative | + | Curry & Fee [ | ||
| United States | 2016 | Episode-based bundled payment | Descriptive analysis | Medicare patient data | + | + | Iorio et al. [ | |
| United States | 2016 | Episode-based bundled payment | Cohort cost identification study | Insurance and commercial claims data | + / 0 | Kirby et al. [ | ||
| United States | 2016 | Episode-based bundled payment | Issue brief | Narrative | + | + | Porter & Kaplan [ | |
| United States | 2016 | Episode-based bundled payment | Decision model with sensitivity analysis | Bundled payment claims data for patients discharged to rehabilitation and home | + | Slover et al. [ | ||
| United States | 2016 | Patient-based bundled payment | Conceptual framework development synthesizing experiences from 6 cases | Published literature, official documents | + | Conrad et al. [ | ||
| Shared savings | + | |||||||
Note: (+) indicates improvements in indicator; (−) indicates worsening of indicator; (−/+) indicates mixed results; (0) indicates no changes and/or unclear findings; (+/0) indicates improvements reported, but with uncertain attribution to payment model of interest; empty indicates that this aspect was not studied. CAP = capitation; DRGs = diagnosis-related groups; EHR = electronic health record; FFS = fee-for-service; HE = health expenditure; PFC = pay-for-coordination; PFP = pay-for-performance