Evidence map›Paper›PMID 30396376›Full record

ArticlePrimary health care research & development2019

Promoting cross-jurisdictional primary health care research: developing a set of common indicators across 12 community-based primary health care teams in Canada.

Sabrina T Wong, Julia M Langton, Alan Katz, Martin Fortin, Marshall Godwin, Michael Green, Eva Grunfeld, Kasra Hassani, Claire Kendall, Clare Liddy and 3 more

Abstract read
In one paragraph

Article in Primary health care research & development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Combining volunteers and primary care teamwork to support health goals and needs of older adults: a pragmatic randomized controlled trial.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2019
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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

13 authors.

Sabrina T Wong1Centre for Health Services and Policy Research; andSchool of Nursing,University of British Columbia,Vancouver,BC,Canada.
Julia M Langton2Centre for Health Services and Policy Research,University of British Columbia,Vancouver,BC,Canada.
Alan Katz3Departments of Community Health Sciences and Family Medicine, Rady Faculty of Health Sciences,University of Manitoba,Winnipeg,MB,Canada.
Martin Fortin4Département de médecine de famille et de médecine d'urgence,Université de Sherbrooke,Sherbrooke,QC,Canada.
Marshall Godwin5Department of Family Medicine,Memorial University of Newfoundland,St. John's,NL,Canada.
Michael Green6Departments of Family Medicine and Public Health Sciences,Queen's University,Kingston,ON,Canada.
Eva Grunfeld7Department of Family and Community Medicine,University of Toronto,Toronto,ON,Canada.
Kasra Hassani1Centre for Health Services and Policy Research; andSchool of Nursing,University of British Columbia,Vancouver,BC,Canada.
Claire Kendall9C.T. Lamont Primary Health Care Research Centre,Bruyère Research Institute,Ottawa,ON,Canada.
Clare Liddy9C.T. Lamont Primary Health Care Research Centre,Bruyère Research Institute,Ottawa,ON,Canada.
Jenny Ploeg10School of Nursing, Faculty of Health Sciences,McMaster University,Hamilton,ON,Canada.
Walter P Wodchis11Institute of Health Policy, Management and Evaluation,University of Toronto,Toronto,ON,Canada.
Jeannie L Haggerty12Department of Family Medicine,McGill University,Montréal,QC,Canada.

Funding

CIHR
6 · The paper itself

Abstract

AimTo describe the process by which the 12 community-based primary health care (CBPHC) research teams worked together and fostered cross-jurisdictional collaboration, including collection of common indicators with the goal of using the same measures and data sources.

backgroundA pan-Canadian mechanism for common measurement of the impact of primary care innovations across Canada is lacking. The Canadian Institutes for Health Research and its partners funded 12 teams to conduct research and collaborate on development of a set of commonly collected indicators.

methodsA working group representing the 12 teams was established. They undertook an iterative process to consider existing primary care indicators identified from the literature and by stakeholders. Indicators were agreed upon with the intention of addressing three objectives across the 12 teams: (1) describing the impact of improving access to CBPHC; (2) examining the impact of alternative models of chronic disease prevention and management in CBPHC; and (3) describing the structures and context that influence the implementation, delivery, cost, and potential for scale-up of CBPHC innovations.FindingsNineteen common indicators within the core dimensions of primary care were identified: access, comprehensiveness, coordination, effectiveness, and equity. We also agreed to collect data on health care costs and utilization within each team. Data sources include surveys, health administrative data, interviews, focus groups, and case studies. Collaboration across these teams sets the foundation for a unique opportunity for new knowledge generation, over and above any knowledge developed by any one team. Keys to success are each team's willingness to engage and commitment to working across teams, funding to support this collaboration, and distributed leadership across the working group. Reaching consensus on collection of common indicators is challenging but achievable.

Indexed as

Cooperative BehaviorPatient Care TeamCanadaCommunity Health ServicesHealth Services ResearchHumansPrimary Health Carecollaborationcommon indicatorscross-jurisdictionalinnovationmeasurementprimary health care

Identifiers

PMID30396376
PMCPMC6476395

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.