Evidence map›Paper›PMID 39807481›Full record

ArticleHealth science reports2025

Developing Healthcare Complaints Analysis Tool for Health System: A Cross-Sectional Study.

Ali Vafaee Najar, Damoon Gorji, Hoorang Nazari Ardabili, Maryam Pourshirazi, Elaheh Houshmand

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ali Vafaee NajarSocial Determinates of Health Research Center Mashhad University of Medical Sciences Mashhad Iran.
Damoon GorjiHealth Services Management Social Security Organization Semnan Iran.
Hoorang Nazari ArdabiliMaster Student in Health Services Management, Student research committee Mashhad University of Medical Sciences Mashhad Iran.
Maryam PourshiraziDepartment of Midwifery, School of Nursing and Midwifery Mashhad University of Medical Sciences Mashhad Iran.
Elaheh HoushmandDepartment of Health Management Sciences and Health Economics, School of Health Mashhad University of Medical Sciences Mashhad Iran.ORCID 0000-0002-8916-7426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The role of the healthcare system in the provision, maintenance, and promotion of public health is associated with handling healthcare complaints. This notion as the principle of accountability requires the authorities' attention. This study aimed to develop the Healthcare Complaints Analysis Tool (HCAT) in Iran. Methods: Following a comprehensive review of the country and field studies conducted in the Medical System Organization and Universities of Medical Sciences, the features of patients' complaints were extracted from medical centers and hospitals. Then, experts who were experienced in health and medical areas localized HCAT through translation and re-translation process using the Delphi technique. Finally, the healthcare complaints were classified according to the localized HCAT components. Result: Using HCAT showed that in Iran's healthcare system, complaints were related to relative frequency and percentage of all types of complaints. However, there is a lack of a mechanized registration system, investigation, analysis, and classification of healthcare complaints. Conclusions: Providing medical centers with such a system by the ministry of health and mandatory reporting of complaints may lead to coding complaints, measure the severity of complaints, service monitoring and organizational learning.

Indexed as

HCAThealthcare complaintspatientstool

Identifiers

PMID39807481
PMCPMC11725527

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.