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A Social Network Approach to the Estimation of Perceived Quality of Health Care

BACKGROUND: Measuring service quality aids health care providers to recognize specific and unmet needs of patients. Nevertheless, perceived quality of health care services (PQC) is often investigated with inadequate techniques which may lead to biased results. OBJECTIVE: The aim of the present study...

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Autores principales: Carletti, Giulia, Soriani, Nicola, Mattiazzi, Martina, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712639/
https://www.ncbi.nlm.nih.gov/pubmed/29238425
http://dx.doi.org/10.2174/1874434601711010219
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author Carletti, Giulia
Soriani, Nicola
Mattiazzi, Martina
Gregori, Dario
author_facet Carletti, Giulia
Soriani, Nicola
Mattiazzi, Martina
Gregori, Dario
author_sort Carletti, Giulia
collection PubMed
description BACKGROUND: Measuring service quality aids health care providers to recognize specific and unmet needs of patients. Nevertheless, perceived quality of health care services (PQC) is often investigated with inadequate techniques which may lead to biased results. OBJECTIVE: The aim of the present study is to develop a proof-of-concept for estimating the PQC using the scale-up estimator, with reference to a concrete assessment in patients of a major Oncology Hospital in Veneto (IOV). Results have then been compared with those collected by the Customer Relations Office (CRO) after the annual survey conducted with traditional questionnaire based techniques. MATERIAL AND METHODS: Seven hundred and eighty-three sets consisting of two questionnaires were handed out to IOV patients between 26 and 28 November 2012. The first questionnaire was the CRO annual one composed by 15 direct questions about the perception of quality satisfaction rate using a Likert scale. The second questionnaire was the scale-up (NSUM) one, composed by 20 indirect questions, 5 of which were reproducing the main target of CRO for estimating PQC. RESULTS: The comparisons made over 299 sets of questionnaires showed differences between the two techniques. Network Scale-Up Method (NSUM) questionnaire seems to be able to produce lower estimates of PQC with respect to the CRO annual questionnaire. In some cases, the NSUM showed dissatisfaction rates which are 20-fold higher respect to CRO. CONCLUSION: NSUM could be a promising method for assessing the perceived quality of care.
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spelling pubmed-57126392017-12-13 A Social Network Approach to the Estimation of Perceived Quality of Health Care Carletti, Giulia Soriani, Nicola Mattiazzi, Martina Gregori, Dario Open Nurs J Article BACKGROUND: Measuring service quality aids health care providers to recognize specific and unmet needs of patients. Nevertheless, perceived quality of health care services (PQC) is often investigated with inadequate techniques which may lead to biased results. OBJECTIVE: The aim of the present study is to develop a proof-of-concept for estimating the PQC using the scale-up estimator, with reference to a concrete assessment in patients of a major Oncology Hospital in Veneto (IOV). Results have then been compared with those collected by the Customer Relations Office (CRO) after the annual survey conducted with traditional questionnaire based techniques. MATERIAL AND METHODS: Seven hundred and eighty-three sets consisting of two questionnaires were handed out to IOV patients between 26 and 28 November 2012. The first questionnaire was the CRO annual one composed by 15 direct questions about the perception of quality satisfaction rate using a Likert scale. The second questionnaire was the scale-up (NSUM) one, composed by 20 indirect questions, 5 of which were reproducing the main target of CRO for estimating PQC. RESULTS: The comparisons made over 299 sets of questionnaires showed differences between the two techniques. Network Scale-Up Method (NSUM) questionnaire seems to be able to produce lower estimates of PQC with respect to the CRO annual questionnaire. In some cases, the NSUM showed dissatisfaction rates which are 20-fold higher respect to CRO. CONCLUSION: NSUM could be a promising method for assessing the perceived quality of care. Bentham Open 2017-10-31 /pmc/articles/PMC5712639/ /pubmed/29238425 http://dx.doi.org/10.2174/1874434601711010219 Text en © 2017 Carletti et al. https://creativecommons.org/licenses/by/4.0/legalcode This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Carletti, Giulia
Soriani, Nicola
Mattiazzi, Martina
Gregori, Dario
A Social Network Approach to the Estimation of Perceived Quality of Health Care
title A Social Network Approach to the Estimation of Perceived Quality of Health Care
title_full A Social Network Approach to the Estimation of Perceived Quality of Health Care
title_fullStr A Social Network Approach to the Estimation of Perceived Quality of Health Care
title_full_unstemmed A Social Network Approach to the Estimation of Perceived Quality of Health Care
title_short A Social Network Approach to the Estimation of Perceived Quality of Health Care
title_sort social network approach to the estimation of perceived quality of health care
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712639/
https://www.ncbi.nlm.nih.gov/pubmed/29238425
http://dx.doi.org/10.2174/1874434601711010219
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