Evidence map›Paper›PMID 31088806›Full record

ArticleCMAJ open

A population profile of older adults with prescription encounters with nurse practitioners and family physicians in Ontario: a descriptive retrospective cohort study.

Dana S Edge, Joan E Tranmer, Xuejiao Wei, Elizabeth G VanDenKerkhof

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

4 authors at 1 institution in 1 country.

Dana S EdgeSchool of Nursing (Edge, Tranmer, VanDenKerkhof) and ICES Queen's (Tranmer, Wei), Queen's University, Kingston, Ont. dana.edge@queensu.ca.
Joan E TranmerSchool of Nursing (Edge, Tranmer, VanDenKerkhof) and ICES Queen's (Tranmer, Wei), Queen's University, Kingston, Ont.
Xuejiao WeiSchool of Nursing (Edge, Tranmer, VanDenKerkhof) and ICES Queen's (Tranmer, Wei), Queen's University, Kingston, Ont.
Elizabeth G VanDenKerkhofSchool of Nursing (Edge, Tranmer, VanDenKerkhof) and ICES Queen's (Tranmer, Wei), Queen's University, Kingston, Ont.
Queen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompared with patients in family physician practices, there is a poor understanding at a population level of patients in nurse practitioner practices. The study aim was to use Ontario administrative databases to identify the sociodemographic characteristics and comorbidities of patients aged 65 years and older who were prescribed medications by nurse practitioners and family physicians between 2000 and 2015.

methodsThis population-based descriptive retrospective cohort study included patients 65 years of age and older with Ontario Health Insurance Plan eligibility and at least 1 prescription encounter with a nurse practitioner or family physician during the study period. Prescription identification of patients permitted their characterization by age, sex, geographical location, rurality, neighbourhood income and comorbidities. Patients were categorized into 3 provider groups on the basis of the percentage of prescription encounters with nurse practitioners versus family physicians.

resultsIn 2015, patients in the study cohort with prescriptions by nurse practitioners (

interpretationThe patient characteristic with the highest variability between providers was geographic residence in the province. Elucidating patterns of care is critical for primary care policy and our results provide baseline data for future health care planning.

Identifiers

PMID31088806
PMCPMC6517125
OpenAlexW2945603135

What OpenQuestion holds

Textmetadata
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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.