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.

Nashid Hafiz, Karice Hyun, Qiang Tu, Andrew Knight, Clara K Chow, Charlotte Hespe, Tom Briffa, Robyn Gallagher, Christopher M Reid, David L Hare, Nicholas Zwar, Mark Woodward, Stephen Jan, Emily R Atkins, Tracey-Lea Laba, Elizabeth Halcomb, Tracey Johnson, Deborah Manandi, Tim Usherwood, Julie Redfern
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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, 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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在冠心病患者初级保健中实施数据驱动的质量改进方案:可接受性、满意度、障碍和促进因素的混合方法评估
本研究旨在了解澳大利亚初级保健实践中质量改善(QI)干预措施改善冠心病(CHD)患者护理的可接受性、满意度、吸收、效用和可行性,并确定障碍和促进因素,包括COVID-19的影响。方法在心脏病患者护理质量改善(QUEL)研究中,26个澳大利亚初级保健实践在5个初级卫生网络(PHN)的支持下参加了为期1年的QI干预(2019年11月至2020年11月)。通过调查和半结构化访谈从实践和phn员工中收集数据。定量和定性数据分别用描述性统计和专题分析进行分析。结果共收到64名参与者的反馈,包括实习团队成员和PHN工作人员。调查在每六次研讨会结束后和研究结束时完成。对一组参与者进行访谈(n =9)。参与者对学习研讨会和每月反馈报告等单个QI功能表示积极满意。总的来说,这次干预受到了很好的欢迎,大多数参与者表示有兴趣在未来参加类似的项目。COVID-19和缺乏时间被认为是常见的障碍,而团队协作和有效的领导使实践能够参与QI计划。此外,在报告的COVID-19实践中,由于疫苗接种的推广、远程医疗的建立以及持续的业务审查将其重点从卫生协调转移,90%的实践影响了他们的参与。结论数据驱动的初级保健质量管理方案可以增强执业人员的信心,促进实施。确定的障碍和推动因素还可以支持其他实践,为今后的实施确定有效战略的优先次序。
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