Implementation of a data-driven quality improvement program in primary care for patients with coronary heart disease: a mixed methods evaluation of acceptability, satisfaction, barriers and enablers
Access status:
Open Access
Type
ArticleAuthor/s
Hafiz, NashidHyun, Karice
Tu, Qiang
Knight, Andrew
Chow, Clara K.
Hespe, Charlotte
Briffa, Tom
Gallagher, Robyn
Reid, Christopher M.
Hare, David L.
Zwar, Nicholas
Woodward, Mark
Jan, Stephen
Atkins, Emily R.
Laba, Tracey-Lea
Halcomb, Elizabeth
Johnson, Tracey
Manandi, Deborah
Usherwood, Tim
Redfern, Julie
Abstract
Background. The study aimed to understand the acceptability, satisfaction, uptake, utility and
feasibility of a quality improvement (QI) intervention to improve care for coronary heart disease
(CHD) patients in Australian primary care practices and identify barriers and enablers, ...
See moreBackground. The study aimed to understand the acceptability, satisfaction, uptake, utility and feasibility of a quality improvement (QI) intervention to improve care for coronary heart disease (CHD) patients in Australian primary care practices and identify barriers and enablers, including the impact of COVID-19. Methods. Within the QUality improvement for Effectiveness of care for people Living with heart disease (QUEL)study, 26 Australian primary care practices,supported by five Primary Health Networks (PHN) participated in a 1-year QI intervention (November 2019 – November 2020). Data were collected from practices and PHNs staff via surveys and semi-structured interviews. Quantitative and qualitative data were analysed with descriptive statistics and thematic analysis, respectively. Results. Feedback was received from 64 participants, including practice team members and PHN staff. Surveys were completed after each of six workshops and at the end of the study. Interviews were conducted with a subgroup of participants (n = 9). Participants reported positive satisfaction with individual QI features such as learning workshops and monthly feedback reports. Overall, the intervention was well-received, with most participants expressing interest in participating in similar programs in the future. COVID-19 and lack of time were identified as common barriers, whereas team collaboration and effective leadership enabled practices’ participation in the QI program. Additionally, 90% of the practices reported COVID-19 effected their participation due to vaccination rollout, telehealth set-up, and continuous operational review shifting their focus from QI. Conclusion. Data-driven QI programs in primary care can boost practice staff confidence and foster increased implementation. Barriers and enablers identified can also support other practices in prioritising effective strategies for future implementation.
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See moreBackground. The study aimed to understand the acceptability, satisfaction, uptake, utility and feasibility of a quality improvement (QI) intervention to improve care for coronary heart disease (CHD) patients in Australian primary care practices and identify barriers and enablers, including the impact of COVID-19. Methods. Within the QUality improvement for Effectiveness of care for people Living with heart disease (QUEL)study, 26 Australian primary care practices,supported by five Primary Health Networks (PHN) participated in a 1-year QI intervention (November 2019 – November 2020). Data were collected from practices and PHNs staff via surveys and semi-structured interviews. Quantitative and qualitative data were analysed with descriptive statistics and thematic analysis, respectively. Results. Feedback was received from 64 participants, including practice team members and PHN staff. Surveys were completed after each of six workshops and at the end of the study. Interviews were conducted with a subgroup of participants (n = 9). Participants reported positive satisfaction with individual QI features such as learning workshops and monthly feedback reports. Overall, the intervention was well-received, with most participants expressing interest in participating in similar programs in the future. COVID-19 and lack of time were identified as common barriers, whereas team collaboration and effective leadership enabled practices’ participation in the QI program. Additionally, 90% of the practices reported COVID-19 effected their participation due to vaccination rollout, telehealth set-up, and continuous operational review shifting their focus from QI. Conclusion. Data-driven QI programs in primary care can boost practice staff confidence and foster increased implementation. Barriers and enablers identified can also support other practices in prioritising effective strategies for future implementation.
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Date
2025Source title
Australian Journal of Primary HealthVolume
31Publisher
CSIRO PublishingLicence
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0Faculty/School
Faculty of Medicine and Health, School of Health SciencesShare