Matthew J Byrne1, Martin Tickle1, Anne-Marie Glenny1, Stephen Campbell2, Tom Goodwin1, Lucy O'Malley1. 1. Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. 2. NIHR Patient Safety Translational Research Centre, Division of Population Health, HSR & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Abstract
INTRODUCTION: 'Quality' in primary care dentistry is poorly defined. There are significant international efforts focussed on developing quality measures within dentistry. The aim of this research was to identify measures used to assess quality in primary care dentistry and categorise them according to which dimensions of quality they attempt to measure. METHODS: Quality measures were identified from the peer-reviewed and grey literature. Peer-reviewed papers describing the development and validation of measures were identified using a structured literature search. Measures from the grey literature were identified using structured searches and direct contact with dental providers and institutions. Quality measures were categorised according to domains of structure, process and outcome and by disaggregated dimensions of quality. RESULTS: From 22 studies, 11 validated measure sets (comprising nine patient satisfaction surveys and two practice assessment instruments) were identified from the peer-reviewed literature. From the grey literature, 24 measure sets, comprising 357 individual measures, were identified. Of these, 96 addressed structure, 174 addressed process and 87 addressed outcome. Only three of these 24 measure sets demonstrated evidence of validity testing. The identified measures failed to address dimensions of quality, such as efficiency and equity. CONCLUSIONS: There has been a proliferation in the development of dental quality measures in recent years. However, this development has not been guided by a clear understanding of the meaning of quality. Few existing measures have undergone rigorous validity or reliability testing. A consensus is needed to establish a definition of quality in dentistry. Identification of the important dimension of quality in dentistry will allow for the production of a core quality measurement set.
INTRODUCTION: 'Quality' in primary care dentistry is poorly defined. There are significant international efforts focussed on developing quality measures within dentistry. The aim of this research was to identify measures used to assess quality in primary care dentistry and categorise them according to which dimensions of quality they attempt to measure. METHODS: Quality measures were identified from the peer-reviewed and grey literature. Peer-reviewed papers describing the development and validation of measures were identified using a structured literature search. Measures from the grey literature were identified using structured searches and direct contact with dental providers and institutions. Quality measures were categorised according to domains of structure, process and outcome and by disaggregated dimensions of quality. RESULTS: From 22 studies, 11 validated measure sets (comprising nine patient satisfaction surveys and two practice assessment instruments) were identified from the peer-reviewed literature. From the grey literature, 24 measure sets, comprising 357 individual measures, were identified. Of these, 96 addressed structure, 174 addressed process and 87 addressed outcome. Only three of these 24 measure sets demonstrated evidence of validity testing. The identified measures failed to address dimensions of quality, such as efficiency and equity. CONCLUSIONS: There has been a proliferation in the development of dental quality measures in recent years. However, this development has not been guided by a clear understanding of the meaning of quality. Few existing measures have undergone rigorous validity or reliability testing. A consensus is needed to establish a definition of quality in dentistry. Identification of the important dimension of quality in dentistry will allow for the production of a core quality measurement set.
Authors: André Ramalho; Pedro Castro; Manuel Gonçalves-Pinho; Juliana Teixeira; João Vasco Santos; João Viana; Mariana Lobo; Paulo Santos; Alberto Freitas Journal: PLoS One Date: 2019-08-16 Impact factor: 3.240