Evidence map›Paper›PMID 34772356›Full record

ArticleBMC family practice2021

Strategies for working across Canadian practice-based research and learning networks (PBRLNs) in primary care: focus on frailty.

Manpreet Thandi, Sabrina T Wong, Sylvia Aponte-Hao, Mathew Grandy, Dee Mangin, Alexander Singer, Tyler Williamson

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  7. Observational
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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

7 authors at 5 institutions in 1 country.

Manpreet ThandiCentre for Health Services and Policy Research & School of Nursing, University of British Columbia, 201-2206 East Mall, Vancouver, BC, V6T IZ3, Canada. manpreet.thandi@ubc.ca.
Sabrina T WongCentre for Health Services and Policy Research & School of Nursing, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.
Sylvia Aponte-HaoDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta, T2N 2Z6, Canada.
Mathew GrandyDepartment of Family Medicine, Dalhousie University, 1465 Brenton Street, Suite 402, Halifax, Nova Scotia, B3J 3T4, Canada.
Dee ManginDepartment of Family Medicine, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
Alexander SingerDepartment of Family Medicine, University of Manitoba, D009-780 Bannatyne Ave, Winnipeg, MB, R3E 0W2, Canada.
Tyler WilliamsonCentre for Health Informatics & Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta, T2N 2Z6, Canada.
University of British Columbia · CAUniversity of Calgary · CADalhousie University · CAMcMaster University · CAUniversity of Manitoba · CA

Funding

CIHR SQS-145182
6 · The paper itself

Abstract

backgroundPractice based research and learning networks (PBRLNs) are groups of learning communities that focus on improving delivery and quality of care. Accurate data from primary care electronic medical records (EMRs) is crucial in forming the backbone for PBRLNs. The purpose of this work is to: (1) report on descriptive findings from recent frailty work, (2) describe strategies for working across PBRLNs in primary care, and (3) provide lessons learned for engaging PBRLNs.

methodsWe carried out a participatory based descriptive study that engaged five different PBRLNs. We collected Clinical Frailty Scale scores from a sample of participating physicians within each PBRLN. Descriptive statistics were used to analyze frailty scores and patients' associated risk factors and demographics. We used the Consolidated Framework for Implementation Research to inform thematic analysis of qualitative data (meeting minutes, notes, and conversations with co-investigators of each network) in recognizing challenges of working across networks.

resultsOne hundred nine physicians participated in collecting CFS scores across the five provinces (n = 5466). Percentages of frail (11-17%) and not frail (82-91%) patients were similar in all networks, except Ontario who had a higher percentage of frail patients (25%). The majority of frail patients were female (65%) and had a significantly higher prevalence of hypertension, dementia, and depression. Frail patients had more prescribed medications and numbers of healthcare encounters. There were several noteworthy challenges experienced throughout the research process related to differences across provinces in the areas of: numbers of stakeholders/staff involved and thus levels of burden, recruitment strategies, data collection strategies, enhancing engagement, and timelines. DISCUSSION: Lessons learned throughout this multi-jurisdictional work included: the need for continuity in ethics, regular team meetings, enhancing levels of engagement with stakeholders, the need for structural support and recognizing differences in data sharing across provinces.

conclusionThe differences noted across CPCSSN networks in our frailty study highlight the challenges of multi-jurisdictional work across provinces and the need for consistent and collaborative healthcare planning efforts.

Indexed as

FrailtyPhysiciansData CollectionFemaleHumansMaleOntarioPrimary Health CareFrailtyLearning health systemsMulti-jurisdictional collaborationPractice-based research and learning networksPrimary care

Identifiers

PMID34772356
PMCPMC8590340
OpenAlexW3213418376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.