Evidence map›Paper›PMID 39323768›Full record

ArticleHeliyon2024

The influence of healthcare service quality on patients' satisfaction in urban areas: The case of Pakistan.

Abdul Rauf, Norhilmi Muhammad, Hamid Mahmood, Yuen Yee Yen

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Abdul RaufFaculty of Business and Management, Universiti Sultan Zainal Abidin, Malaysia.
Norhilmi MuhammadFaculty of General Studies and Advanced Education, Universiti Sultan Zainal Abidin, Malaysia.
Hamid MahmoodDepartment of Management Sciences, TIMES Institute, Pakistan.
Yuen Yee YenFaculty of Business, Multimedia University, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An advanced hospital services is an imperative goal in the healthcare delivery process that might contribute to the patient's emotions and behavioral intention regarding the service experience. Therefore, current study aims to investigate the influence of healthcare service quality and patients' satisfaction with basic health unit (BHU) hospitals in Punjab, Pakistan. The study focuses on service quality, revisits intention and patients' satisfaction with the framework of the planned behaviour model. Quantitative research was conducted using a self-administered questionnaire from those patients who visited the same hospitals twice in a month. As result, the sampling strategy was simple random sampling (SRS) and sample size was (n = 469). The researchers used structural equation modelling (SEM) and AMOS to examine and evaluate the study hypotheses. The findings indicate that service quality increases patients' satisfaction and motivates them to revisit again. Service quality plays a crucial role in enhancing patients' intention to revisit the same hospitals and maintain their satisfaction level. The results provide valuable insights for medical marketing teams to promote and strengthen patients' intention to revisit to their medical care hospitals. Additionally, these findings may inform governments on how to maintain and improve medical facilities for their future patients. This research is among a limited number of studies that examine the predictive association between service quality, patients' satisfaction, and patients' tendency to revisits to government hospitals in Punjab, Pakistan.

Indexed as

Basic health unitRevisit intentionSatisfactionService qualityUrban medical care

Identifiers

PMID39323768
PMCPMC11422050

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.