Evidence map›Paper›PMID 39609808›Full record

ArticleBMC health services research2024

Service quality evaluation of county-level public hospitals in Chongqing under smart healthcare.

Yuantang Qiu, Chun Xiao, Jing Li

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

3 authors.

Yuantang QiuCollege of Public Health, Chongqing Medical University, Chongqing, 401331, China.
Chun XiaoCollege of Public Health, Chongqing Medical University, Chongqing, 401331, China.
Jing LiCollege of Public Health, Chongqing Medical University, Chongqing, 401331, China. jing100161@cqmu.edu.cn.

Funding

Chongqing Science and Technology Commission Technical Foresight and System Innovation Special Project cstc2017jsyj-zdcxBX001
6 · The paper itself

Abstract

backgroundThis study explores patients' perceptions and expectations of smart healthcare services from the perspective of patient experience.The aim is to provide insights for the development of smart healthcare services in hospitals.

methodsA cluster sampling method was used to select 10 public county-level hospitals from October to November 2021 in a municipality in southwestern China. Patient expectations and perceptions about smart healthcare services were assessed using SERVQUAL scale, which included 24 items across four dimensions: ability, application, platform, and effectiveness. The perception-expectation gap was calculated, and factors influencing this gap were analyzed. The Importance-Performance Analysis (IPA) model was then applied to evaluate the results.

resultsA total of 915 patients from outpatient and inpatient departments participated in the study. The average perception score was 3.86, while the average expectation score was 4.44, resulting in a gap of -0.58. Paired sample t-tests revealed significant differences between patients' perceptions and expectations across the 24 items (P < 0.05). IPA quadrant analysis identified 5 items in quadrant IV. A generalized linear model indicated that patients with a college degree, income between 2001 ~ 3500RMB, and income between 3501 ~ 5000RMB were associated with differences in service quality evaluation. Patients covered by urban and rural residents' medical insurance also showed variations in their evaluations.

conclusionsThe study highlights that smart healthcare services in public county-level hospitals fall short of meeting patients' expectations. It emphasizes the importance of addressing individualized medical needs and improving aspects such as cost control, system design, technology-human care balance, and operational efficiency.

Indexed as

Hospitals, CountyHospitals, PublicPatient SatisfactionAdultAgedChinaFemaleHumansMaleMiddle AgedQuality of Health CareSurveys and QuestionnairesCounty Public HospitalsService qualitySERVQUAL modelSmart Healthcare

Identifiers

PMID39609808
PMCPMC11603846

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.