ArticleBMJ open2024
Exploratory analysis of factors influencing hospital preferences among the Lebanese population: a cross-sectional study.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe primary aim of this research is to uncover the underlying factors that shape hospital selection criteria among individuals in Lebanon.
designCross-sectional study.
settingA survey was circulated across social media platforms and messaging applications in Lebanon from February to May 2023. This questionnaire aimed to gauge participants' opinions on the importance of various factors in their hospital selection process.
participantsA total of 746 participants filled out the survey. We targeted Lebanese adults who were not hospitalised at the time of survey submission.
main outcome measuresWe performed an exploratory factor analysis to examine the underlying structure of our 70-question survey. Reliability analysis was conducted using Cronbach's alpha and McDonald's omega. Factor scores were derived by aggregating raw scores and computing the mean.
resultsThe survey results identified eight key factors that accounted for 58.02% of the total variance, with excellent sampling adequacy (Kaiser-Meyer-Olkin=0.921, Bartlett's p<0.001). These factors exhibited good internal consistency, as indicated by Cronbach's alpha values for each factor. Ranked by importance for hospital selection, the factors are: staff qualities (α=0.773), administrative services (α=0.801), reputation (α=0.773), ease of access (α=0.704), room attributes (α=0.796), architectural and physical surroundings (α=0.828), luxury amenities (α=0.849) and affiliation and ownership (α=0.661).
conclusionThis paper highlights the hospital characteristics that people may value before selecting a hospital. This insight provides an opportunity for hospital managers to refine their services, ensuring better resonance with people's anticipations. Beyond this, it sheds light on areas where hospitals could strategically invest to elevate their competitive edge in the healthcare market.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.