Evidence map›Paper›PMID 35640205›Full record

Trial reportFamily practice2022

Effectiveness of Quality Incentive Payments in General Practice (EQuIP-GP) cluster randomized trial: impact on patient-reported experience.

Andrew Bonney, Grant Russell, Jan Radford, Nicholas Zwar, Judy Mullan, Marijka Batterham, Danielle Mazza, Gregory Peterson, Simon Eckermann, Christine Metusela

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Family practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Andrew BonneyGeneral Practice Academic Unit, Graduate School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, Australia.ORCID 0000-0003-2477-1646
Grant RussellDepartment of General Practice, Monash University, Notting Hill, Australia.
Jan RadfordLaunceston Clinical School, Tasmanian School of Medicine, University of Tasmania, Launceston, Australia.
Nicholas ZwarFaculty of Health Sciences and Medicine. Bond University, Robina, Australia.
Judy MullanGeneral Practice Academic Unit, Graduate School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, Australia.
Marijka BatterhamNational Institute of Applied Statistics Research Australia, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia.
Danielle MazzaDepartment of General Practice, Monash University, Notting Hill, Australia.ORCID 0000-0001-6158-7376
Gregory PetersonSchool of Pharmacy and Pharmacology, University of Tasmania, Sandy Bay, Australia.
Simon EckermannSchool of Health and Society, University of Wollongong, Wollongong, Australia.
Christine MetuselaGeneral Practice Academic Unit, Graduate School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelational continuity, 'a therapeutic relationship between a patient and provider/s that spans health care events', has been associated with improved patient outcomes.

objectivesTo evaluate whether an intervention incorporating patient enrolment and a funding model for higher-risk patients influenced patient-reported experience measures, particularly relational continuity.

methodsCluster-randomized controlled trial over 12 months (1 August 2018-31 July 2019). Participating patients within intervention practices were offered enrolment with a preferred general practitioner, a minimum of 3 longer appointments, and review within 7 days of hospital admission or emergency department attendance. Intervention practices received incentives for longer consultations (dependent on reducing unnecessary prescriptions and tests), early post-hospital follow-up, and hospitalization reductions. The primary outcome was patient-reported relational continuity, measured by the Primary Care Assessment Tool Short Form.

resultsA total of 774 patients, aged 18-65 years with a chronic illness or aged over 65 years, from 34 general practices in metropolitan, regional, and rural Australia across 3 states participated. Response rates for questionnaires were >90%. From a maximum of 4.0, mean baseline scores for relational continuity were 3.38 (SE 0.05) and 3.42 (SE 0.05) in control and intervention arms, respectively, with no significant between-group differences in changes pre-post trial. There were no significant changes in other patient-focussed measures.

conclusionPatient-reported relational continuity was high at baseline and not influenced by the intervention, signalling the need for caution with policies incorporating patient enrolment and financial incentives. Further research is required targeting at-risk patient groups with low baseline engagement with primary care.

Indexed as

General PracticeGeneral PractitionersFamily PracticeHumansMotivationPatient Reported Outcome Measureschronic diseasecontinuity of patient caregeneral practicepatient-reported outcome measurespolicyprospective studies

Identifiers

PMID35640205
PMCPMC9155154

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.