scholarly journals Supporting Students With Electronic Health Record–Embedded Learning Aids: A Mixed-Methods Study

10.2196/11351 ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. e11351
Author(s):  
Sanne Peters ◽  
Geraldine Clarebout ◽  
Bert Aertgeerts ◽  
Jimmie Leppink ◽  
Ann Roex
Keyword(s):  
Mixed Methods ◽  
Electronic Health Record ◽  
Mixed Methods Study ◽  
Health Record ◽  
Learning Aids ◽  
Electronic Health

scholarly journals Electronic health record tools to assist with children’s insurance coverage: a mixed methods study

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Jennifer E. DeVoe ◽  
Megan Hoopes ◽  
Christine A. Nelson ◽  
Deborah J. Cohen ◽  
Aleksandra Sumic ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Electronic Health Record ◽  
Insurance Coverage ◽  
Mixed Methods Study ◽  
Health Record ◽  
Electronic Health

scholarly journals Practicing Clinicians’ Recommendations to Reduce Burden from the Electronic Health Record Inbox: a Mixed-Methods Study

2019 ◽  
Vol 34 (9) ◽  
pp. 1825-1832 ◽  
Author(s):  
Daniel R. Murphy ◽  
Tyler Satterly ◽  
Traber D. Giardina ◽  
Dean F. Sittig ◽  
Hardeep Singh
Keyword(s):  
Mixed Methods ◽  
Electronic Health Record ◽  
Mixed Methods Study ◽  
Health Record ◽  
Electronic Health

scholarly journals Role of Individual Motivations and Privacy Concerns in the Adoption of German Electronic Patient Record Apps—A Mixed-Methods Study

2021 ◽  
Vol 18 (18) ◽  
pp. 9553
Author(s):  
Richard Henkenjohann
Keyword(s):  
Mixed Methods ◽  
Electronic Health Record ◽  
Large Scale ◽  
Electronic Patient Record ◽  
Mixed Methods Study ◽  
Patient Record ◽  
Health Record ◽  
Potential Benefits ◽  
Electronic Health ◽  
External Mandates

Germany’s electronic patient record (“ePA”) launched in 2021 with several attempts and years of delay. The development of such a large-scale project is a complex task, and so is its adoption. Individual attitudes towards an electronic health record are crucial, as individuals can reject opting-in to it and making any national efforts unachievable. Although the integration of an electronic health record serves potential benefits, it also constitutes risks for an individual’s privacy. With a mixed-methods study design, this work provides evidence that different types of motivations and contextual privacy antecedents affect usage intentions towards the ePA. Most significantly, individual motivations stemming from feelings of volition or external mandates positively affect ePA adoption, although internal incentives are more powerful.

scholarly journals Advice for Decision Makers Based on an Electronic Health Record Evaluation at a Program for All-inclusive Care for Elders Site

2011 ◽  
Vol 02 (01) ◽  
pp. 18-38 ◽  
Author(s):  
J.P. Weiner ◽  
K.H. Bowles ◽  
P. Abbott ◽  
H.P. Lehmann ◽  
P.S. Sockolow
Keyword(s):  
Nursing Home ◽  
Mixed Methods ◽  
Electronic Health Record ◽  
Functional Outcome ◽  
Decision Makers ◽  
Evidence Based ◽  
Health Record ◽  
Clinician Satisfaction ◽  
Electronic Health ◽  
The Impact

Summary Objective: Provide evidence-based advise to “Program of All-inclusive Care for the Elderly” (PACE) decision makers considering implementing an electronic health record (EHR) system, drawing on the results of a mixed methods study to examine: (1) the diffusion of an EHR among clinicians documenting direct patient care in a PACE day care site, (2) the impact of the use of the EHR on the satisfaction levels of clinicians, and (3) the impact of the use of the EHR on patient functional outcomes. Methods: Embedded mixed methods design with a post-test design quantitative experiment and concurrent qualitative component. Quantitative methods included: (1) the EHR audit log used to determine the frequency and timing during the week of clinicians’ usage of the system; (2) a 22-item clinician satisfaction survey; and (3) a 16-item patient functional outcome questionnaire related to locomotion, mobility, personal hygiene, dressing, feeding as well the use of adaptive devices. Qualitative methods included observations and open-ended, semi-structured follow-up interviews. Qualitative data was merged with the quantitative data by comparing the findings along themes. The setting was a PACE utilizing an EHR in Philadelphia: PACE manages the care of nursing-home eligible members to enable them to avoid nursing home admission and reside in their homes. Participants were 39 clinicians on the multi-disciplinary teams caring for the elders and 338 PACE members. Results: Clinicians did not use the system as intended, which may help to explain why the benefits related to clinical processes and patient outcomes as expected for an EHR were not reflected in the results. Clinicians were satisfied with the EHR, although there was a non-significant decline between 11 and 17 months post implementation of the EHR. There was no significant difference in patient functional outcome the two time periods. However, the sample size of 48 was too small to allow any conclusive statements to be made. Interpretation of findings underscores the importance of the interaction of workflow and EHR functionality and usability to impact clinician satisfaction, efficiency, and clinician use of the EHR. Conclusion: This research provides insights into EHR use in the care of the older people in community-based health care settings. This study assessed the adoption of an EHR outside the acute hospital setting and in the community setting to provide evidence-based recommendations to PACE decision makers considering implementing an EHR.

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