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Patient satisfaction is biased by renovations to the interior of a primary care office: a pretest-posttest assessment

Overview of attention for article published in BMC Health Services Research, August 2016
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Mentioned by

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2 tweeters

Citations

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8 Dimensions

Readers on

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31 Mendeley
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Title
Patient satisfaction is biased by renovations to the interior of a primary care office: a pretest-posttest assessment
Published in
BMC Health Services Research, August 2016
DOI 10.1186/s12913-016-1647-4
Pubmed ID
Authors

Raphaël Tièche, Bruno R. da Costa, Sven Streit

Abstract

Measuring quality of care is essential to improve primary care. Quality of primary care for patients is usually assessed by patient satisfaction questionnaires. However, patients may not be able to judge quality of care without also reflecting their perception of the environment. We determined the effect that redesigning a primary care office had on patient satisfaction. We hypothesized that renovating the interior would make patients more satisfied with the quality of medical care. We performed a Pretest-Posttest analysis in a recently renovated single-practice primary care office in Grenchen, Switzerland. Before and after renovation, we distributed a questionnaire to assess patient satisfaction in four domains. We chose a Likert scale (1 = very poor to 6 = very good), and 12 quality indicators, and included two consecutive samples of patients presenting at the primary care office before (n = 153) and after (n = 153) interior design renovation. Response rate was high (overall 85 %). The sample was similar to the enlisted patient collective, but the sample population was older (60 years) than the collective (52 years). Patient satisfaction was higher for all domains after the office was renovated (p < 0.01-0.001). Results did not change when we included potential confounders in the multivariable model (p < 0.01). Renovating the interior of a primary care office was associated with improved patient satisfaction, including satisfaction in domains otherwise unchanged. Physician skills and patient satisfaction sometimes depend on surrounding factors that may bias the ability of patients to assess the quality of medical care. These biases should be taken into account when quality assessment instruments are designed for patients.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Master 6 19%
Student > Bachelor 4 13%
Student > Postgraduate 2 6%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 13 42%
Nursing and Health Professions 8 26%
Business, Management and Accounting 2 6%
Arts and Humanities 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 5 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 August 2016.
All research outputs
#3,889,640
of 8,223,523 outputs
Outputs from BMC Health Services Research
#1,810
of 3,056 outputs
Outputs of similar age
#118,477
of 257,043 outputs
Outputs of similar age from BMC Health Services Research
#127
of 213 outputs
Altmetric has tracked 8,223,523 research outputs across all sources so far. This one has received more attention than most of these and is in the 50th percentile.
So far Altmetric has tracked 3,056 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 257,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.