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Meta-Analysis
. 2014 Oct 27;9(10):e109975.
doi: 10.1371/journal.pone.0109975. eCollection 2014.

Activity-based funding of hospitals and its impact on mortality, readmission, discharge destination, severity of illness, and volume of care: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Activity-based funding of hospitals and its impact on mortality, readmission, discharge destination, severity of illness, and volume of care: a systematic review and meta-analysis

Karen S Palmer et al. PLoS One. .

Erratum in

Abstract

Background: Activity-based funding (ABF) of hospitals is a policy intervention intended to re-shape incentives across health systems through the use of diagnosis-related groups. Many countries are adopting or actively promoting ABF. We assessed the effect of ABF on key measures potentially affecting patients and health care systems: mortality (acute and post-acute care); readmission rates; discharge rate to post-acute care following hospitalization; severity of illness; volume of care.

Methods: We undertook a systematic review and meta-analysis of the worldwide evidence produced since 1980. We included all studies reporting original quantitative data comparing the impact of ABF versus alternative funding systems in acute care settings, regardless of language. We searched 9 electronic databases (OVID MEDLINE, EMBASE, OVID Healthstar, CINAHL, Cochrane CENTRAL, Health Technology Assessment, NHS Economic Evaluation Database, Cochrane Database of Systematic Reviews, and Business Source), hand-searched reference lists, and consulted with experts. Paired reviewers independently screened for eligibility, abstracted data, and assessed study credibility according to a pre-defined scoring system, resolving conflicts by discussion or adjudication.

Results: Of 16,565 unique citations, 50 US studies and 15 studies from 9 other countries proved eligible (i.e. Australia, Austria, England, Germany, Israel, Italy, Scotland, Sweden, Switzerland). We found consistent and robust differences between ABF and no-ABF in discharge to post-acute care, showing a 24% increase with ABF (pooled relative risk = 1.24, 95% CI 1.18-1.31). Results also suggested a possible increase in readmission with ABF, and an apparent increase in severity of illness, perhaps reflecting differences in diagnostic coding. Although we found no consistent, systematic differences in mortality rates and volume of care, results varied widely across studies, some suggesting appreciable benefits from ABF, and others suggesting deleterious consequences.

Conclusions: Transitioning to ABF is associated with important policy- and clinically-relevant changes. Evidence suggests substantial increases in admissions to post-acute care following hospitalization, with implications for system capacity and equitable access to care. High variability in results of other outcomes leaves the impact in particular settings uncertain, and may not allow a jurisdiction to predict if ABF would be harmless. Decision-makers considering ABF should plan for likely increases in post-acute care admissions, and be aware of the large uncertainty around impacts on other critical outcomes.

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Conflict of interest statement

Competing Interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare as follows: (1) KSP, DM, IAD, GHG have non-salary support from the Canadian Institute for Health Research for the submitted work; (2) JL, JJY report that their institution received reimbursement from Canadian Institute for Health Research for the submitted work; (3) TS reports salary from Canadian Institute for Health Research for the submitted work; (4) TA and AM each report grants from the Swiss National Science Foundation during the period the study was conducted; (5) No financial relationships in the previous 3 years with companies that might have an interest in the submitted work; (6) No non-financial interests that influenced the submitted work.

Figures

Figure 1
Figure 1. Prisma flow diagram.
Figure 2
Figure 2. Acute Care Mortality Forest Plot.
Figure 3
Figure 3. Readmission Forest Plot.
Figure 4
Figure 4. Discharge Destination Forest Plot.

References

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    1. O'Reilly J, Busse R, Hakkinen U, Or Z, Street A, et al. (2012) Paying for hospital care: the experience with implementing activity-based funding in five European countries. Health Econ Policy Law 7: 73–101. - PubMed
    1. Canadian Institute for Health Information, Activity-Based Funding Unit. (2010) A primer on activity-based funding. Ottawa (ON): The Institute Available: http://www.cihi.ca/CIHI-ext-portal/pdf/internet/primer_activity_based_fu... Accessed 2013 July 22.
    1. Busse R, Geissler A, QuentinW, Wiley M, eds. (2011) Diagnosis-Related Groups in Europe: Moving towards Transparency, Efficiency and Quality in Hospitals. Maidenhead, England: World Health Organization on behalf of European Observatory on Health Systems and Policies Series, McGraw Hill, Open University Press. Available: http://www.euro.who.int/__data/assets/pdf_file/0004/162265/e96538.pdf Accessed 2014 March 21.
    1. Palmer KS, Martin D, Guyatt GH (2013) Prelude to a systematic review of activity-based funding of hospitals: potential effects on cost, quality, access, efficiency, and equity. Open Medicine 7: e94–e97. - PMC - PubMed

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