Evidence map›Paper›PMID 29862500›Full record

ArticleHealth services research2018

Directing Improvements in Primary Care Patient Experience through Analysis of Service Quality.

Mel Hudson Smith, David Smith

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Collecting and using patient experience data: Caution, commitment and consistency are needed.Health expectations : an international journal of public participation in health care and health policy · 2019
    Article
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

2 authors.

Mel Hudson SmithBristol Business School, UWE, Bristol, UK.ORCID 0000-0002-2298-4237
David SmithBath Business School, Bath Spa University, Bath, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the influence of dimensions of service quality on patient experience of primary care. DATA SOURCES/STUDY

settingData from the national GP Patient Survey in England 2014/15, with responses from 858,351 patients registered at 7,918 practices. STUDY

designExpert panel and principal component analysis helped identify relevant dimensions of service quality. Regression was then used to examine the relationships between these dimensions and reported patient experience. DATA COLLECTION/EXTRACTION

methodsAggregated scores for each practice were used, comprising the proportion of positive responses to each element of the study. PRINCIPAL

findingsOf eight service quality dimensions identified, six have statistically significant impacts on patient experience but only two have large effects. Patient experience is highly influenced by practice responsiveness and the interactions with the physician. Other dimensions have small or even slightly negative influence. Service quality provided by nurses has negligible effect on patient experience.

conclusionsTo improve patient experience in primary health care, efforts should focus on practice responsiveness and interactions with the physician. Other areas have little influence over patient experience. This suggests a gap in patients' perspectives on health care, which has policy implications for patient education.

Indexed as

Physician-Patient RelationsEnglandGroup PracticeHealth Services AccessibilityHumansPatient SatisfactionPrimary Health CareQuality of Health CareSurveys and QuestionnairesGP practicePatient experienceservice quality

Identifiers

PMID29862500
PMCPMC6232513

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.