Evidence map›Paper›PMID 39201157›Full record

ArticleHealthcare (Basel, Switzerland)2024

Validation of a Questionnaire to Assess Patient Satisfaction with an Automated Drug Dispensing System.

Palanisamy Amirthalingam, Umar Abdolah Alharbe, Hanad S S Almfalh, Saleh F Alqifari, Ahmed D Alatawi, Ahmed Aljabri, Mostafa A Sayed Ali

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Palanisamy AmirthalingamDepartment of Pharmacy Practice, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0002-5803-1227
Umar Abdolah AlharbePharmaceutical Care Department, King Fahad Specialist Hospital, Tabuk 47717, Saudi Arabia.
Hanad S S AlmfalhClinical Pharmacy Department, King Khalid Civil Hospital, Tabuk 47915, Saudi Arabia.
Saleh F AlqifariDepartment of Pharmacy Practice, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.
Ahmed D AlatawiDepartment of Clinical Pharmacy, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0001-6459-9700
Ahmed AljabriDepartment of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Mostafa A Sayed AliDepartment of Pharmacy Practice, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0002-5851-5088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAutomated drug dispensing systems (ADDs) have been introduced to improve the efficiency of dispensing and patient safety. The available questionnaires measure patient satisfaction with particular aspects of ADDs. Also, the level of patient satisfaction with ADDs is not widely established. This study aimed to develop and validate a novel questionnaire to assess patient satisfaction with ADDs.

methodsContent and construct validity procedures were used to validate the 20-item questionnaire with four domains, including pharmacy administration, dispensing practice, patient education, and the dispensing system. Two hundred consenting participants took part in this study, from those who visited the outpatient pharmacy in a government hospital.

resultsThe internal consistency of all four scale items shows acceptable reliability (>0.7). In the exploratory factor analysis, three items were removed due to poor factor loading and cross-loading. In the confirmatory factor analysis, the model has acceptable fit indices, including the comparative fit index (0.937), Tucker-Lewis's index (0.924), standardized root mean square residual (0.051), root mean square error of approximation (0.057), and χ

conclusionThis study offered a reliable and valid 17-item questionnaire incorporating a multi-dimensional four-factor model to evaluate patient satisfaction with ADDs. The validated questionnaire can be utilized to explore patients' perspectives on ADDs.

Indexed as

automated drug dispensing systemconfirmatory factor analysiscontent validityexploratory factor analysispatient satisfactionreliability statistics

Identifiers

PMID39201157
PMCPMC11353274

What OpenQuestion holds

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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.