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Cochrane Database of Systematic Reviews

Payment methods for outpatient care facilities

Overview of attention for article published in Cochrane database of systematic reviews, March 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)

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1 policy source
2 X users
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553 Mendeley
1 CiteULike
Payment methods for outpatient care facilities
Published in
Cochrane database of systematic reviews, March 2017
DOI 10.1002/14651858.cd011153.pub2
Pubmed ID

Beibei Yuan, Li He, Qingyue Meng, Liying Jia


Outpatient care facilities provide a variety of basic healthcare services to individuals who do not require hospitalisation or institutionalisation, and are usually the patient's first contact. The provision of outpatient care contributes to immediate and large gains in health status, and a large portion of total health expenditure goes to outpatient healthcare services. Payment method is one of the most important incentive methods applied by purchasers to guide the performance of outpatient care providers. To assess the impact of different payment methods on the performance of outpatient care facilities and to analyse the differences in impact of payment methods in different settings. We searched the Cochrane Central Register of Controlled Trials (CENTRAL), 2016, Issue 3, part of the Cochrane Library (searched 8 March 2016); MEDLINE, OvidSP (searched 8 March 2016); Embase, OvidSP (searched 24 April 2014); PubMed (NCBI) (searched 8 March 2016); Dissertations and Theses Database, ProQuest (searched 8 March 2016); Conference Proceedings Citation Index (ISI Web of Science) (searched 8 March 2016); IDEAS (searched 8 March 2016); EconLit, ProQuest (searched 8 March 2016); POPLINE, K4Health (searched 8 March 2016); China National Knowledge Infrastructure (searched 8 March 2016); Chinese Medicine Premier (searched 8 March 2016); OpenGrey (searched 8 March 2016); ClinicalTrials.gov, US National Institutes of Health (NIH) (searched 8 March 2016); World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (searched 8 March 2016); and the website of the World Bank (searched 8 March 2016).In addition, we searched the reference lists of included studies and carried out a citation search for the included studies via ISI Web of Science to find other potentially relevant studies. We also contacted authors of the main included studies regarding any further published or unpublished work. Randomised trials, non-randomised trials, controlled before-after studies, interrupted time series, and repeated measures studies that compared different payment methods for outpatient health facilities. We defined outpatient care facilities in this review as facilities that provide health services to individuals who do not require hospitalisation or institutionalisation. We only included methods used to transfer funds from the purchaser of healthcare services to health facilities (including groups of individual professionals). These include global budgets, line-item budgets, capitation, fee-for-service (fixed and unconstrained), pay for performance, and mixed payment. The primary outcomes were service provision outcomes, patient outcomes, healthcare provider outcomes, costs for providers, and any adverse effects. At least two review authors independently extracted data and assessed the risk of bias. We conducted a structured synthesis. We first categorised the comparisons and outcomes and then described the effects of different types of payment methods on different categories of outcomes. We used a fixed-effect model for meta-analysis within a study if a study included more than one indicator in the same category of outcomes. We used a random-effects model for meta-analysis across studies. If the data for meta-analysis were not available in some studies, we calculated the median and interquartile range. We reported the risk ratio (RR) for dichotomous outcomes and the relative change for continuous outcomes. We included 21 studies from Afghanistan, Burundi, China, Democratic Republic of Congo, Rwanda, Tanzania, the United Kingdom, and the United States of health facilities providing primary health care and mental health care. There were three kinds of payment comparisons. 1) Pay for performance (P4P) combined with some existing payment method (capitation or different kinds of input-based payment) compared to the existing payment methodWe included 18 studies in this comparison, however we did not include five studies in the effects analysis due to high risk of bias. From the 13 studies, we found that the extra P4P incentives probably slightly improved the health professionals' use of some tests and treatments (adjusted RR median = 1.095, range 1.01 to 1.17; moderate-certainty evidence), and probably led to little or no difference in adherence to quality assurance criteria (adjusted percentage change median = -1.345%, range -8.49% to 5.8%; moderate-certainty evidence). We also found that P4P incentives may have led to little or no difference in patients' utilisation of health services (adjusted RR median = 1.01, range 0.96 to 1.15; low-certainty evidence) and may have led to little or no difference in the control of blood pressure or cholesterol (adjusted RR = 1.01, range 0.98 to 1.04; low-certainty evidence). 2) Capitation combined with P4P compared to fee-for-service (FFS)One study found that compared with FFS, a capitated budget combined with payment based on providers' performance on antibiotic prescriptions and patient satisfaction probably slightly reduced antibiotic prescriptions in primary health facilities (adjusted RR 0.84, 95% confidence interval 0.74 to 0.96; moderate-certainty evidence). 3) Capitation compared to FFSTwo studies compared capitation to FFS in mental health centres in the United States. Based on these studies, the effects of capitation compared to FFS on the utilisation and costs of services were uncertain (very low-certainty evidence). Our review found that if policymakers intend to apply P4P incentives to pay health facilities providing outpatient services, this intervention will probably lead to a slight improvement in health professionals' use of tests or treatments, particularly for chronic diseases. However, it may lead to little or no improvement in patients' utilisation of health services or health outcomes. When considering using P4P to improve the performance of health facilities, policymakers should carefully consider each component of their P4P design, including the choice of performance measures, the performance target, payment frequency, if there will be additional funding, whether the payment level is sufficient to change the behaviours of health providers, and whether the payment to facilities will be allocated to individual professionals. Unfortunately, the studies included in this review did not help to inform those considerations.Well-designed comparisons of different payment methods for outpatient health facilities in low- and middle-income countries and studies directly comparing different designs (e.g. different payment levels) of the same payment method (e.g. P4P or FFS) are needed.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 553 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Saudi Arabia 1 <1%
Unknown 551 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 98 18%
Researcher 77 14%
Student > Bachelor 56 10%
Student > Ph. D. Student 44 8%
Student > Doctoral Student 27 5%
Other 83 15%
Unknown 168 30%
Readers by discipline Count As %
Medicine and Dentistry 143 26%
Nursing and Health Professions 80 14%
Social Sciences 26 5%
Economics, Econometrics and Finance 20 4%
Psychology 20 4%
Other 80 14%
Unknown 184 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2023.
All research outputs
of 25,728,855 outputs
Outputs from Cochrane database of systematic reviews
of 13,136 outputs
Outputs of similar age
of 324,614 outputs
Outputs of similar age from Cochrane database of systematic reviews
of 286 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 13,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.8. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,614 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.