A Key Driver of Patient Satisfaction: Interaction of Patients with Personnel Delivering Incontinence Health Technologies
- PMID: 36311908
- PMCID: PMC9608035
- DOI: 10.1177/23743735221134337
A Key Driver of Patient Satisfaction: Interaction of Patients with Personnel Delivering Incontinence Health Technologies
Abstract
Primary care represents an answer to the growing demand of an ageing population for healthcare services outside the hospital. As a support mechanism of primary care, the distribution of health technologies to chronic patients plays an important role, but it has been investigated from the operational viewpoint only, ignoring the patient's perspective. We explored patient's satisfaction in relation to the distribution processes of incontinence health technologies, investigating its antecedents and isolating the factors driving the satisfaction of patients - which could be leveraged to design better distribution processes for better primary care services. We performed a survey study on 650 patients in primary care services affected by incontinence in Italy, building on the ServQual and Kano models. Partial Least Square Structural Equation Modelling (PLS-SEM) with Multi-Group Analysis (MGA) was adopted to analyse the data. Results show that interaction of patients with the personnel delivering the service is the key driver of patient satisfaction: this is an element more important than the operational features of distribution services (such as punctuality/reliability of the service or its flexibility).
Keywords: PLS-SEM; health technologies; incontinence; patient satisfaction; primary care.
© The Author(s) 2022.
Conflict of interest statement
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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References
-
- United Nations – Department of Economic and Social Affairs, Population Division. World Population Ageing 2019: Highlights (ST/ESA/SER.A/430). 2019. Accessed September 2021. https://www.un.org/en/development/desa/population/publications/pdf/agein....
-
- KPMG. Delivering healthcare services closer to home. 2019. Accessed September 2021. https://assets.kpmg/content/dam/kpmg/tw/pdf/2019/11/kpmg-delivering-heal....
-
- European Commission. 2014. Accessed September 2021. https://www.eunethta.eu/ja1-archive/.
-
- Alhashem AM, Alquraini H, Chowdhury RI. Factors influencing patient satisfaction in primary healthcare clinics in Kuwait. Int J Health Care Qual Assur. 2011;24(3):249-62. - PubMed
-
- Garagiola E, Creazza A, Porazzi E. Analyzing the performance of health technologies distribution models in primary care services, Meas Bus Exc, ahead-of-print.
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