Evidence map›Paper›PMID 36052725›Full record

ArticleThe International journal of health planning and management2023

Managing by values in healthcare: Development and validation of the health care values inventory measurement scale.

Andrés Salas-Vallina, Fernando Gil-Bort, Rafael Fernandez-Guerrero

Open access · hybridAbstract read
In one paragraph

Article in The International journal of health planning and management, 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
0.5field-weighted citation impact, top 17% 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, 2 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

3 authors at 2 institutions in 1 country.

Andrés Salas-VallinaDepartment of Business Management, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0003-0129-7013
Fernando Gil-BortHead of Human Resources, Hospital Intermutual de Levante, Valencia, Spain.
Rafael Fernandez-GuerreroDepartment of Business Management, University of Valencia, Valencia, Spain.
Universitat de València · ESHospital Intermutual de Levante · ES

Funding

Regional Government of Valencia Conselleria d'Innovació, Universitats, Ciència i Societat Digital GV/2021/166
6 · The paper itself

Abstract

objectiveThe aim of this study is to conceptualise and develop the Health Care Values Inventory (HEVAIN). For this purpose, we first explore key organizational values at different levels of the organisation. Then, we propose and validate a measurement scale based on the Triaxial system of values, which is represented by three axes, including ethical-social values, practical values (economic-pragmatic) and poietic (emotional).

methodsExploratory and confirmatory factor analysis were performed to check the validity of the proposed measurement scale.

resultsUsing a sample of 535 employees from a semipublic healthcare organisation, the results showed that the HEVAIN measurement scale loaded satisfactorily onto three factors, and overcame the psychometric properties of dimensionality, reliability and validity.

conclusionThis research offers a new measurement scale to capture organizational values in healthcare organisations. This new tool provides both scholars and healthcare managers with an instrument to diagnose and manage organizational values, which gives key information to develop sustained competitive advantages.

Indexed as

Delivery of Health CareOrganizational CultureHealth FacilitiesHumansPsychometricsReproducibility of ResultsSurveys and Questionnairesmanagement by valuesorganizational valuestriaxial model

Identifiers

PMID36052725
PMCPMC10087709
OpenAlexW4294218888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.