Literature DB >> 32989060

Identifying Practice Facilitation Delays and Barriers in Primary Care Quality Improvement

Jiancheng Ye1, Renwen Zhang1, Jennifer E Bannon1, Ann A Wang1, Theresa L Walunas1, Abel N Kho1, Nicholas D Soulakis2.   

Abstract

OBJECTIVE: Practice facilitation is an effective approach to implementing quality improvement (QI) interventions in practice-based research networks (PBRNs). Regular facilitator-practice interactions are necessary for successful facilitation, and missed engagements may hinder the process of practice improvement. This study employs a mixed-methods approach to characterize the dynamics of practice facilitation and examine facilitation delays and barriers, as well as their association with the achievement of QI program goals in a PBRN initiative.
METHODS: This study presents a secondary analysis of data from 226 primary care practices that participated in the Healthy Hearts in the Heartland (H3) initiative. We performed a time series analysis to identify delays in facilitation activities, and then qualitatively analyzed practice facilitators' notes (n = 4358) to uncover facilitation barriers. Finally, we assessed the relationship between delays, barriers, and QI intervention completion.
RESULTS: While most facilitation activities occurred at regular, practice-specific tempos, nearly all practices experienced at least 1 delay. Practices with more delays had lower QI intervention completion rates. Practices with more delays were more likely to have encountered barriers such as lack of time and staff, lack of staff engagement, technical issues, and staff turnover. DISCUSSION AND
CONCLUSION: This study is the first to quantify irregular intervals between facilitation activities and demonstrate their negative association with project completion. The analytic method can be applied to identify at-risk practices and to accelerate timely interventions in future studies. Our delay detection algorithm could inform the design of a decision support system that notifies facilitators which practices may benefit from timely attention and resources. © Copyright 2020 by the American Board of Family Medicine.

Keywords:  Cardiovascular Diseases; Personnel Turnover; Practice Facilitation; Practice-Based Research; Primary Health Care; Quality Improvement; Regression Analysis; Time series algorithms; Work Engagement; Workforce

Mesh:

Year:  2020        PMID: 32989060     DOI: 10.3122/jabfm.2020.05.200058

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  10 in total

1.  Examining the impact of sex differences and the COVID-19 pandemic on health and health care: findings from a national cross-sectional study.

Authors:  Jiancheng Ye; Zhimei Ren
Journal:  JAMIA Open       Date:  2022-09-28

2.  Design and development of an informatics-driven implementation research framework for primary care studies.

Authors:  Jiancheng Ye
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

3.  The impact of electronic health record-integrated patient-generated health data on clinician burnout.

Authors:  Jiancheng Ye
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

4.  Health Information System's Responses to COVID-19 Pandemic in China: A National Cross-sectional Study.

Authors:  Jiancheng Ye
Journal:  Appl Clin Inform       Date:  2021-05-19       Impact factor: 2.342

5.  Improving the management of type 2 diabetes through large-scale general practice: the role of a data-driven and technology-enabled education programme.

Authors:  Tarek F Radwan; Yvette Agyako; Alireza Ettefaghian; Tahira Kamran; Omar Din; Mohammad Aumran Tahir; Peter Schofield; Veline L'Esperance
Journal:  BMJ Open Qual       Date:  2021-02

6.  Does coaching matter? Examining the impact of specific practice facilitation strategies on implementation of quality improvement interventions in the Healthy Hearts in the Heartland study.

Authors:  Theresa L Walunas; Jiancheng Ye; Jennifer Bannon; Ann Wang; Abel N Kho; Justin D Smith; Nicholas Soulakis
Journal:  Implement Sci       Date:  2021-03-31       Impact factor: 7.327

7.  Social Networking Service, Patient-Generated Health Data, and Population Health Informatics: National Cross-sectional Study of Patterns and Implications of Leveraging Digital Technologies to Support Mental Health and Well-being.

Authors:  Jiancheng Ye; Zidan Wang; Jiarui Hai
Journal:  J Med Internet Res       Date:  2022-04-29       Impact factor: 5.428

8.  Identifying Contextual Factors and Strategies for Practice Facilitation in Primary Care Quality Improvement Using an Informatics-Driven Model: Framework Development and Mixed Methods Case Study.

Authors:  Jiancheng Ye; Donna Woods; Jennifer Bannon; Lucy Bilaver; Gayle Kricke; Megan McHugh; Abel Kho; Theresa Walunas
Journal:  JMIR Hum Factors       Date:  2022-06-24

9.  Characteristics and Patterns of Retention in Hypertension Care in Primary Care Settings From the Hypertension Treatment in Nigeria Program.

Authors:  Jiancheng Ye; Ikechukwu A Orji; Abigail S Baldridge; Tunde M Ojo; Grace Shedul; Eugenia N Ugwuneji; Nonye B Egenti; Kasarachi Aluka-Omitiran; Rosemary C B Okoli; Helen Eze; Ada Nwankwo; Lisa R Hirschhorn; Aashima Chopra; Boni M Ale; Gabriel L Shedul; Priya Tripathi; Namratha R Kandula; Mark D Huffman; Dike B Ojji
Journal:  JAMA Netw Open       Date:  2022-09-01

10.  The Key Driver Implementation Scale (KDIS) for practice facilitators: Psychometric testing in the "Southeastern collaboration to improve blood pressure control" trial.

Authors:  Angela M Stover; Mian Wang; Christopher M Shea; Erica Richman; Jennifer Rees; Andrea L Cherrington; Doyle M Cummings; Liza Nicholson; Shannon Peaden; Macie Craft; Monique Mackey; Monika M Safford; Jacqueline R Halladay
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

  10 in total

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