A statistical model for evaluating the patient satisfaction

Lucadamo, Antonio; Camminatiello, Ida; D’Ambra, Antonello

doi:10.1016/j.seps.2020.100797

Cited by 11 publications

(6 citation statements)

References 14 publications

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“…The principal component logistic regression is another alternative recently proposed. According to Lucadamo et al [87], Labovitz [88] and O'Brien [89], "proved that if the number of categories is sufficiently large (e.g., six or seven points), one can apply the product-moment correlations on ordinal variables with negligible bias." However, such conclusions resulted from controlled simulation procedures, which might hardly apply to the real world.…”

Section: Musa 1%mentioning

confidence: 99%

Patient Satisfaction with Healthcare Services and the Techniques Used for its Assessment: A Systematic Literature Review and a Bibliometric Analysis

et al. 2023

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Patient satisfaction with healthcare provision services and the factors influencing it are be-coming the main focus of many scientific studies. Assuring the quality of the provided services is essential for the fulfillment of patients’ expectations and needs. Thus, this systematic review seeks to find the determinants of patient satisfaction in a global setting. We perform an analysis to evaluate the collected literature and to fulfill the literature gap of bibliometric analysis within this theme. This review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. We conducted our database search in Scopus, Web of Science, and PubMed in June 2022. Studies from 2000–2021 that followed the inclusion and exclusion criteria and that were written in English were included in the sample. We ended up with 157 articles to review. A co-citation and bibliographic coupling analysis were employed to find the most relevant sources, authors, and documents. We divided the factors influencing patient satisfaction into criteria and explanatory variables. Medical care, communication with the patient, and patient’s age are among the most critical factors for researchers. The bibliometric analysis revealed the countries, institutions, documents, authors, and sources most productive and significant in patient satisfaction.

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Section: Musa 1%mentioning

confidence: 99%

Patient Satisfaction with Healthcare Services and the Techniques Used for its Assessment: A Systematic Literature Review and a Bibliometric Analysis

et al. 2023

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“…Other issues that have been expressed in the critique of this model are concerns about how customers evaluate the quality of service in terms of expectations and perceptions, as well as the dimensions and universality of the five dimensions of SERVQUAL (Buttle, 1996). Lucadamo et al (2021) argued that assessing health care patients' expectations is a challenging issue; SERVQUAL is not appropriate and should be modified.…”

Section: Health Care Service Quality Dimensionsmentioning

confidence: 99%

Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data

Estiri¹,

Dahooie²,

Zavadskas³

2023

Informatica

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Due to the increasing importance of evaluating the quality of health care services using the patient-centred approach, this study aimed to propose a novel framework by combining the SERVQUAL model and multi-attribute decision-making (MADM) methods using interval-valued triangular fuzzy numbers (IVTFN). In this study, after an initial overview of related work and expert opinions, a list of the most important dimensions and indicators for measuring the quality of health care services was extracted and localized. Then, to determine the importance of each of the identified factors, one of MADM’s acceptable methods called step-wise weight assessment ratio analysis (SWARA) was used. Then, in order to use the developed framework for comparing different health centres and ranking them, after collecting evaluation data in the form of linguistic variables, another practical method in the field of MADM has been used, namely, Additive Ratio Assessment (ARAS) method. The dimensions and sub-dimensions identified are, on the one hand, appropriate to the conditions of the case study and, on the other hand, the findings from the implementation show that among the dimensions of health service quality, responsiveness and then reliability has the highest rank in this case. Also, the use of IVTFN, on the one hand, eliminates the problems related to the use of Likert scale in other quality assessment methods and, on the other hand, reduces the possibility of facing imperfect knowledge of data which is a common problem in the field of qualitative evaluations. Utilizing the results of this study can significantly help decision makers in their choice of strategies to improve service quality. Furthermore, improving the quality of services can play an important role in promoting the competitiveness and performance of health care providers by increasing patient satisfaction with the services received. Also, as a side effect, the developed framework can be used to compare the performance of different hospitals and health centres, as well as their ranking.

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“…Considering the possible factors affecting individual social capital and RSMS (Gavurova et al, 2021;Lucadamo et al, 2021), this study used three types of control variables: social individual characteristics, including age, age squared, gender, marital status, education years, and log of family income, medical service, including insurance, service type, and trust, and the stock of individual social capital and social media variables, including social network resources, Guanxi cognition, and Internet use. Variable descriptive statistics are shown in Table 3.…”

Section: Main Variablesmentioning

confidence: 99%

How individual social capital affects residents’ satisfaction with medical services: Based on the evidence from urban residents in China

Wang

Cao

2022

Front. Psychol.

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IntroductionResidents’ satisfaction with medical services has commonly been treated as both a medical and psychosocial process. The influence of psychosocial factors on residents’ satisfaction with medical treatment is generally considered as important as that of medical factors. However, the effect of individual social capital on residents’ satisfaction after medical treatment–an important psychosocial variable that may influence health status and access to medical services–has not received sufficient attention.MethodsThis study used the questionnaire survey data of urban residents in eight Chinese cities in 2014 to investigate how individual social capital affects residents’ satisfaction with medical services over the past year.ResultsThe results revealed a negative impact of individual social capital on residents’ overall satisfaction with medical services. In addition, the use of individual social capital significantly improved residents’ satisfaction with medical resources and significantly reduced residents’ satisfaction with the medical system. Moreover, the negative impact of individual social capital on residents’ overall satisfaction with medical services was greater for individuals with a lower likelihood of using this capital, which may lead to unequal allocation of medical resources and long-term life satisfaction.DiscussionThe heterogeneous impact and mechanism of individual social capital on residents’ satisfaction with medical services was confirmed under the premise of self-selection bias.

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A statistical model for evaluating the patient satisfaction

Cited by 11 publications

References 14 publications

Patient Satisfaction with Healthcare Services and the Techniques Used for its Assessment: A Systematic Literature Review and a Bibliometric Analysis

Patient Satisfaction with Healthcare Services and the Techniques Used for its Assessment: A Systematic Literature Review and a Bibliometric Analysis

Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data

How individual social capital affects residents’ satisfaction with medical services: Based on the evidence from urban residents in China

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