Evidence map›Paper›PMID 22947130›Full record

ArticleHuman resources for health2012

Are Dutch patients willing to be seen by a physician assistant instead of a medical doctor?

Luppo Kuilman, Roos Mb Nieweg, Cees P van der Schans, Jaap H Strijbos, Roderick S Hooker

Abstract read
In one paragraph

Article in Human resources for health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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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

5 authors.

Luppo KuilmanMaster Physician Assistant Program, School of Health Care Studies, Hanze University of Applied Sciences, Groningen, Groningen, The Netherlands. l.kuilman@pl.hanze.nl.
Roos Mb Nieweg
Cees P van der Schans
Jaap H Strijbos
Roderick S Hooker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe employment of physician assistants (PAs) is a strategy to improve access to care. Since the new millennium, a handful of countries have turned to PAs as a means to bridge the growing gap between the supply and demand of medical services. However, little is known about this new workforce entity from the patient's perspective. The objective of this study was to assess the willingness of Dutch patients to be treated by a PA or a medical doctor (MD) under various time constraints and semi-urgent medical scenarios.

methodsA total of 450 Dutch adults were recruited to act as surrogate patients. A convenience sample was drawn from patients in a medical office waiting room in a general hospital awaiting their appointments. Each participant was screened to be naive as to what a PA and a nurse practitioner are and then read a definition of a PA and an MD. One of three medical scenarios was assigned to the participants in a patterned 1-2-3 strategy. Patients were required to make a trade-off decision of being seen after 1 hour by a PA or after 4 hours by a doctor. This forced-choice method continued with the same patient two more times with 30 minutes and 4 hours and another one of 2 hours versus 4 hours for the PA and MD, respectively.

resultsSurrogate patients chose the PA over the MD 96 % to 98 % of the time (depending on the scenario). No differences emerged when analysed by gender, age, or parenthood status.

conclusionWillingness to be seen by a PA was tested a priori to determine whether surrogate Dutch patients would welcome this new health-care provider. The findings suggest that employing PAs, at least in concept, may be an acceptable strategy for improving access to care with this population.

Identifiers

PMID22947130
PMCPMC3462730

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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.