Adoption of shared decision-making and clinical decision support for reducing cardiovascular disease risk in community health centers

被引:0
作者
Hauschildt, Jennifer [1 ]
Lyon-Scott, Kristin [1 ]
Sheppler, Christina R. [2 ]
Larson, Annie E. [1 ]
McMullen, Carmit [2 ]
Boston, David [1 ]
O'Connor, Patrick J. [3 ]
Sperl-Hillen, JoAnn M. [3 ]
Gold, Rachel [1 ,2 ]
机构
[1] OCHIN Inc, Res Dept, Portland, OR 97228 USA
[2] Kaiser Permanente Ctr Hlth Res, 3800 N Interstate Ave, Portland, OR 97227 USA
[3] HealthPartners Inst, HealthPartners Ctr Chron Care Innovat, Bloomington, MN 55425 USA
基金
美国国家卫生研究院;
关键词
medical informatics; decision support systems-clinical; decision making-shared; cardiovascular diseases; community health centers; INFORMATION-TECHNOLOGY; BLOOD-PRESSURE; PRIMARY-CARE; TASK-FORCE; SYSTEMS; BARRIERS; IMPLEMENTATION; DISPARITIES; PREVENTION; MANAGEMENT;
D O I
10.1093/jamiaopen/ooad012
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: Electronic health record (EHR)-based shared decision-making (SDM) and clinical decision support (CDS) systems can improve cardiovascular disease (CVD) care quality and risk factor management. Use of the CV Wizard system showed a beneficial effect on high-risk community health center (CHC) patients' CVD risk within an effectiveness trial, but system adoption was low overall. We assessed which multi-level characteristics were associated with system use.Materials and Methods: Analyses included 80 195 encounters with 17 931 patients with high CVD risk and/or uncontrolled risk factors at 42 clinics in September 2018-March 2020. Data came from the CV Wizard repository and EHR data, and a survey of 44 clinic providers. Adjusted, mixed-effects multivariate Poisson regression analyses assessed factors associated with system use. We included clinic-and provider-level clustering as random effects to account for nested data.Results: Likelihood of system use was significantly higher in encounters with patients with higher CVD risk and at longer encounters, and lower when providers were > 10 minutes behind schedule, among other factors. Survey participants reported generally high satisfaction with the system but were less likely to use it when there were time constraints or when rooming staff did not print the system output for the provider.Discussion: CHC providers prioritize using this system for patients with the greatest CVD risk, when time permits, and when rooming staff make the information readily available. CHCs' financial constraints create substantial challenges to addressing barriers to improved system use, with health equity implications.Conclusion: Research is needed on improving SDM and CDS adoption in CHCs.
引用
收藏
页数:11
相关论文
共 50 条
[31]   Exploration of a simplified clinical examination for scabies to support public health decision-making [J].
Marks, Michael ;
Engelman, Daniel ;
Romani, Lucia ;
Mason, Daniel ;
Sokana, Oliver ;
Kama, Mike ;
Whitfeld, Margot ;
Steer, Andrew C. ;
Kaldor, John .
PLOS NEGLECTED TROPICAL DISEASES, 2018, 12 (12)
[32]   Classification of risk to support decision-making in hazardous processes [J].
Yang, Xue ;
Haugen, Stein .
SAFETY SCIENCE, 2015, 80 :115-126
[33]   Shared Decision-Making Tools Implemented in the Electronic Health Record: Scoping Review [J].
Pierce, Joni H. ;
Weir, Charlene ;
Taft, Teresa ;
Richards Ii, William ;
Mcfarland, Mary M. ;
Kawamoto, Kensaku ;
Del Fiol, Guilherme ;
Butler, Jorie M. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2025, 27
[34]   Shared Decision-Making and Prevention Recommendations: Evolution, Implications, and Challenges for Public Health [J].
Lawrence, Juliana C. ;
Schwartz, Jason L. .
JOURNAL OF LAW MEDICINE & ETHICS, 2021, 49 (03) :444-452
[35]   Clinical practice, decision-making, and use of clinical decision support systems in invasive mechanical ventilation: a narrative review [J].
Murali, Mayur ;
Ni, Melody ;
Karbing, Dan S. ;
Rees, Stephen E. ;
Komorowski, Matthi ;
Marshall, Dominic ;
Ramnarayan, Padmanabhan ;
Patel, Brijesh, V .
BRITISH JOURNAL OF ANAESTHESIA, 2024, 133 (01) :164-177
[36]   The effect of a new lifetime-cardiovascular-risk display on patients' motivation to participate in shared decision-making [J].
Jegan, Nikita Roman A. ;
Kurwitz, Sarah Anna ;
Kramer, Lena Kathrin ;
Heinzel-Gutenbrunner, Monika ;
Adarkwah, Charles Christian ;
Popert, Uwe ;
Donner-Banzhoff, Norbert .
BMC FAMILY PRACTICE, 2018, 19
[37]   Intervention Characteristics Considered in Health Educators' Adoption Decision-Making Process [J].
Strayer, Thomas E., III ;
Balis, Laura E. ;
Kennedy, Lauren E. ;
Ramalingam, NithyaPriya S. ;
Wilson, Meghan L. ;
Harden, Samantha M. .
HEALTH EDUCATION & BEHAVIOR, 2023, 50 (03) :416-429
[38]   Shared decision-making following disclosure of coronary heart disease genetic risk: results from a randomized clinical trial [J].
Jouni, Hayan ;
Haddad, Raad A. ;
Marroush, Tariq S. ;
Brown, Sherry-Ann ;
Kruisselbrink, Teresa M. ;
Austin, Erin E. ;
Shameer, Khader ;
Behnken, Emma M. ;
Chaudhry, Rajeev ;
Montori, Victor M. ;
Kullo, Iftikhar J. .
JOURNAL OF INVESTIGATIVE MEDICINE, 2017, 65 (03) :681-688
[39]   A review of shared decision-making A call to arms for health care professionals [J].
Bukstein, Don A. ;
Guerra, Daniel G. Jr Jr ;
Huwe, Ted ;
Davis, Ray A. .
ANNALS OF ALLERGY ASTHMA & IMMUNOLOGY, 2020, 125 (03) :273-279
[40]   A Model to Support Shared Decision Making in Electronic Health Records Systems [J].
Lenert, Leslie ;
Dunlea, Robert ;
Del Fiol, Guilherme ;
Hall, Leslie Kelly .
MEDICAL DECISION MAKING, 2014, 34 (08) :987-995