Literature DB >> 17585611

Involving service users in defining and evaluating the service quality of a disability service.

Paula O'Reilly1.   

Abstract

PURPOSE: This study proposes to examine how a particular service quality model, the P-C-P attributes model, can be used to develop a measurement tool for a disability organisation, which involves service users in defining and determining service quality. DESIGN/METHODOLOGY/APPROACH: The evaluation focused on a physical disability service within the voluntary sector in Ireland. To identify the service quality dimensions, which were important, a series of focus groups were completed with service personnel and service users. A questionnaire was then developed from the information identified relating to a number of service quality dimensions.
FINDINGS: The results illustrated an overall high level of satisfaction with the service. There were a number of service dimensions identified in each of the attribute groupings, which could be improved. Respondents also made a number of recommendations for improvement. RESEARCH LIMITATIONS/IMPLICATIONS: The study identified limitations to the model relating to whether the actual experiences of service users are captured. ORIGINALITY/VALUE: This paper outlines from a consumer perspective the service attributes that provide satisfaction with service delivery but also highlighted areas where improvement was necessary and that the P-C-P model is a suitable framework for use.

Mesh:

Year:  2007        PMID: 17585611     DOI: 10.1108/09526860710731816

Source DB:  PubMed          Journal:  Int J Health Care Qual Assur        ISSN: 0952-6862


  2 in total

1.  Factors Affecting Quality of Emergency Service in Iran's Military Hospitals: A Qualitative Study.

Authors:  Rouhollah Zaboli; Mohamad Shokri; Maryam Seyed Javadi; Ehsan Teymourzadeh; Ahmad Ameryoun
Journal:  Electron Physician       Date:  2016-09-20

2.  Heard and valued: the development of a model to meaningfully engage marginalized populations in health services planning.

Authors:  M Elizabeth Snow; Katherine Tweedie; Ann Pederson
Journal:  BMC Health Serv Res       Date:  2018-03-15       Impact factor: 2.655

  2 in total

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