Multilevel factors influence the use of a cardiovascular disease assessment tool embedded in the electronic health record in oncology care

被引:0
|
作者
Kepper, Maura M. [1 ]
Gierbolini-Rivera, Raul D. [1 ]
Weaver, Kathryn E. [2 ]
Foraker, Randi E. [3 ]
Dressler, Emily, V [4 ]
Nightingale, Chandylen L. [2 ]
Aguilar, Aylin A. [2 ]
Wiseman, Kimberly D. [2 ]
Hanna, Jenny [5 ]
Throckmorton, Alyssa D. [6 ]
Craddock Lee, Simon [7 ]
机构
[1] Washington Univ St Louis, Prevent Res Ctr, St Louis, MO 63130 USA
[2] Wake Forest Univ, Sch Med, Dept Social Sci & Hlth Policy, Winston Salem, NC USA
[3] Washington Univ, Sch Med St Louis, Dept Med, St Louis, MO USA
[4] Wake Forest Univ, Sch Med, Dept Biostat & Data Sci, Div Publ Hlth Sci, Winston Salem, NC USA
[5] Mercy Hosp Oncol & Canc Res Ozarks, Ft Smith, AR USA
[6] Baptist Med Grp, Germantown, TN USA
[7] Univ Kansas, Sch Med, Canc Ctr, Canc Ctr, Kansas City, KS USA
关键词
digital health; cardiovascular health; cancer survivorship; mixed methods; implementation science; ADULT CANCERS; RISK; SURVIVORS; PREVENTION; MODELS; BREAST;
D O I
10.1093/tbm/ibae058
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Digital health tools are positive for delivering evidence-based care. However, few studies have applied rigorous frameworks to understand their use in community settings. This study aimed to identify implementation determinants of the Automated Heart-Health Assessment (AH-HA) tool within outpatient oncology settings as part of a hybrid effectiveness-implementation trial. A mixed-methods approach informed by the Consolidated Framework for Implementation Research (CFIR) examined barriers and facilitators to AH-HA implementation in four NCI Community Oncology Research Program (NCORP) practices participating in the WF-1804CD AH-HA trial. Provider surveys were analyzed using descriptive statistics. Interviews with providers (n = 15) were coded using deductive (CFIR) and inductive codes by trained analysts. The CFIR rating tool was used to rate each quote for (i) valence, defined as a positive (+) or negative (-) influence, and (ii) strength, defined as a neutral (0), weak (1), or strong (2) influence on implementation. All providers considered discussing cardiovascular health with patients as important (61.5%, n = 8/13) or somewhat important (38.5%, n = 5/13). The tool was well-received by providers and was feasible to use in routine care among cancer survivors. Providers felt the tool was acceptable and usable, had a relative advantage over routine care, and had the potential to generate benefits for patients. Common reasons clinicians reported not using AH-HA were (i) insufficient time and (ii) the tool interfering with workflow. Systematically identifying implementation determinants from this study will guide the broader dissemination of the AH-HA tool across clinical settings and inform implementation strategies for future scale-up hybrid trials. Oncology care teams found the Automated Heart-Health Assessment tool easy to use and valuable for discussing cardiovascular health with cancer survivors, potentially enhancing patient care. Lack of time and workflow challenges were common barriers to using the AH-HA tool in clinical practice, highlighting the need for strategies to integrate similar digital health tools seamlessly into care settings. Lessons learned from studying the AH-HA tool can inform the development and implementation of other digital health tools across various clinical settings, ultimately improving patient care. Digital health tools improve patient care, yet they can be challenging to add to and use in clinical care. We studied using a digital health tool, the Automated Heart-Health Assessment (AH-HA) tool, that supports oncology care teams discussing heart health with their cancer survivor patients. Surveys and interviews were used to collect data on barriers and facilitators to using the AH-HA tool in four clinical practices. All providers felt that discussing cardiovascular health with their patients was important. The tool was well-received by providers and could be used successfully in routine care among cancer survivors. Providers liked the tool and found it easy to use, felt it improved the care they provided, and had the potential to generate benefits for their patients. The most common reasons clinicians reported not using the tool were lack of time and the tool not fitting with their workflow. We will use the study findings to improve the AH-HA tool and select strategies to support its use in other care settings. Lessons learned from this study can enhance the use of other similar tools to improve patient care in many clinical care settings.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Measuring Acute Care Nurses' Electronic Health Record Use Patterns, Electronic Health Record Satisfaction, and Relationship to Nurse Burnout
    Summers, Donna
    Stocker-Schneider, Julia
    CIN-COMPUTERS INFORMATICS NURSING, 2019, 37 (11) : 559 - 559
  • [32] Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool
    Gallagher, David
    Zhao, Congwen
    Brucker, Amanda
    Massengill, Jennifer
    Kramer, Patricia
    Poon, Eric G.
    Goldstein, Benjamin A.
    JOURNAL OF PERSONALIZED MEDICINE, 2020, 10 (03): : 1 - 11
  • [33] Assessment of diaper dermatitis using a novel electronic health record-embedded scale
    Visscher, Marty O.
    Taleghani, Afshin
    Nurre, Melissa
    Meganathan, Karthikeyan
    Strange, Ruthann
    Kinnett, Melissa
    Narendran, Vivek
    JOURNAL OF PERINATOLOGY, 2024, 44 (04) : 501 - 507
  • [34] Assessment of diaper dermatitis using a novel electronic health record-embedded scale
    Marty O. Visscher
    Afshin Taleghani
    Melissa Nurre
    Karthikeyan Meganathan
    Ruthann Strange
    Melissa Kinnett
    Vivek Narendran
    Journal of Perinatology, 2024, 44 : 501 - 507
  • [35] CLINICAL DOCUMENTATION OF DENTAL CARE IN AN ERA OF ELECTRONIC HEALTH RECORD USE
    Tokede, Oluwabunmi
    Ramoni, Rachel B.
    Patton, Michael
    da Silva, John D.
    Kalenderian, Elsbeth
    JOURNAL OF EVIDENCE-BASED DENTAL PRACTICE, 2016, 16 (03) : 154 - 160
  • [36] Electronic health record use and the quality of ambulatory care in the United States
    Linder, J. A.
    Ma, J.
    Bates, D. W.
    Middleton, B.
    Stafford, R. S.
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2006, 21 : 49 - 49
  • [37] Measuring Electronic Health Record Use in Primary Care: A Scoping Review
    Huang, Michael Z.
    Gibson, Candace J.
    Terry, Amanda L.
    APPLIED CLINICAL INFORMATICS, 2018, 9 (01): : 15 - 33
  • [38] Barriers to and Facilitators of Electronic Health Record Use by Acute Care Nurses
    Strudwick, Gillian
    Hall, Linda McGillis
    Nagle, Lynn
    Trbovich, Patricia
    NURSING RESEARCH, 2015, 64 (02) : E25 - E25
  • [39] Electronic health record use and the quality of ambulatory care in the United States
    Linder, Jeffrey A.
    Ma, Jun
    Bates, David W.
    Middleton, Blackford
    Stafford, Randall S.
    ARCHIVES OF INTERNAL MEDICINE, 2007, 167 (13) : 1400 - 1405
  • [40] Electronic Health Record Use, Intensity of Hospital Care, and Patient Outcomes
    Blecker, Saul
    Goldfeld, Keith
    Park, Naeun
    Shine, Daniel
    Austrian, Jonathan S.
    Braithwaite, R. Scott
    Radford, Martha J.
    Gourevitch, Marc N.
    AMERICAN JOURNAL OF MEDICINE, 2014, 127 (03): : 216 - 221