Evidence map›Paper›PMID 37814645›Full record

ArticleJournal of multidisciplinary healthcare2023

Customers' Perception Towards Accountability of Diagnostic Centres: Evidence from India.

Suman Agarwal, Ranjit Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Suman AgarwalDepartment of Management Studies, Indian Institute of Information Technology Allahabad, Prayagraj, UP, India.
Ranjit SinghDepartment of Management Studies, Indian Institute of Information Technology Allahabad, Prayagraj, UP, India.ORCID 0000-0001-9408-9525
Indian Institute of Information Technology Allahabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A deeper comprehension of accountability is beneficial for identifying and fostering tactics to boost accountability and raise the standard of healthcare. The main objective of the present paper is to measure the level of customers' perception of accountability of healthcare diagnostic service providers and to identify the factors that influence the perception of accountability of healthcare diagnostic service customers. Methods: A questionnaire survey was used to collect data from 393 customers of various diagnostic centers in the city of Guwahati from the state of Assam in India. The reliability of the data was tested using Cronbach's Alpha. Statistical tests were used for the mean, percentage, standard deviation, etc. Factor analysis was performed to find out the factors affecting customers' perception of accountability. Results: It was found that the overall level of perception of the customers with respect to the accountability of diagnostic centers in Guwahati is of high level. The study reveals four variables that affect how customers perceive the accountability of diagnostic service providers. These are Competency, Responsiveness, Compliance with protocol, and Problem-solving approach. Discussion: Significant contributions have been made by the present study in terms of the development of a scale to measure customers' perception of accountability of diagnostic centre, and the development of a theoretical model to explain this accountability.

Indexed as

accountabilitycustomers’ perceptiondiagnostic centershealthcare

Identifiers

PMID37814645
PMCPMC10560486
OpenAlexW4387338890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.