Facilitators for using data from a quality registry in local quality improvement work: a cross-sectional survey of the Danish Cardiac Rehabilitation DatabaseShow others and affiliations
2019 (English)In: BMJ Open, E-ISSN 2044-6055, Vol. 9, no 6, article id e028291
Article in journal (Refereed) Published
Abstract [en]
Objectives To investigate use of data from a clinical quality registry for cardiac rehabilitation in Denmark, considering the extent to which data are used for local quality improvement and what facilitates the use of these data, with a particular focus on whether there are differences between frontline staff and managers. Design Cross-sectional nationwide survey study. Setting, methods and participants A previously validated, Swedish questionnaire regarding use of data from clinical quality registries was translated and emailed to frontline staff, mid-level managers and heads of departments (n=175) in all 30 hospital departments participating in the Danish Cardiac Rehabilitation Database. Data were analysed descriptively and through multiple linear regression. Results Survey response rate was 58% (101/175). Reports of registry use at department level (measured through an index comprising seven items; score min 0, max 7, where a low score indicates less use of data) varied significantly between groups of respondents: frontline staff mean score 1.3 (SD=2.0), mid-level management mean 2.4 (SD=2.3) and heads of departments mean 3.0 (SD=2.5), p=0.006. Overall, department level use of data was positively associated with higher perceived data quality and usefulness (regression coefficient=0.22, p=0.019), management request for data (regression coefficient=0.40, p=0.008) and personal motivation of the respondent (regression coefficient=1.63, p<0.001). Among managers, use of registry data was associated with data quality and usefulness (regression coefficient=0.43, p=0.027), and among frontline staff, reported data use was associated with management involvement in quality improvement work (regression coefficient=0.90, p=0.017) and personal motivation (regression coefficient=1.66, p<0.001). Conclusions The findings suggest relatively sparse use of data in local quality improvement work. A complex interplay of factors seem to be associated with data use with varying aspects being of importance for frontline staff and managers.
Place, publisher, year, edition, pages
BMJ Publishing Group Ltd, 2019. Vol. 9, no 6, article id e028291
National Category
Occupational Health and Environmental Health Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:uu:diva-389818DOI: 10.1136/bmjopen-2018-028291ISI: 000471197000083PubMedID: 31196902OAI: oai:DiVA.org:uu-389818DiVA, id: diva2:1339679
2019-07-302019-07-302023-08-28Bibliographically approved