scholarly journals Does sharing the electronic health record in the consultation enhance patient involvement? A mixed-methods study using multichannel video recording and in-depth interviews in primary care

2014 ◽  
Vol 19 (3) ◽  
pp. 602-616 ◽  
Author(s):  
Heather Milne ◽  
Guro Huby ◽  
Susan Buckingham ◽  
James Hayward ◽  
Aziz Sheikh ◽  
...  
Keyword(s):  
Primary Care ◽  
Mixed Methods ◽  
Electronic Health Record ◽  
Patient Involvement ◽  
Video Recording ◽  
Mixed Methods Study ◽  
Health Record ◽  
Electronic Health ◽  
Depth Interviews

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 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 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 Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037405
Author(s):  
Daniel Dedman ◽  
Melissa Cabecinha ◽  
Rachael Williams ◽  
Stephen J W Evans ◽  
Krishnan Bhaskaran ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Electronic Health Record ◽  
Observational Studies ◽  
Meta Analysis ◽  
Data Sources ◽  
Health Record ◽  
Two Stage ◽  
One Stage ◽  
Electronic Health

ObjectiveTo identify observational studies which used data from more than one primary care electronic health record (EHR) database, and summarise key characteristics including: objective and rationale for using multiple data sources; methods used to manage, analyse and (where applicable) combine data; and approaches used to assess and report heterogeneity between data sources.DesignA systematic review of published studies.Data sourcesPubmed and Embase databases were searched using list of named primary care EHR databases; supplementary hand searches of reference list of studies were retained after initial screening.Study selectionObservational studies published between January 2000 and May 2018 were selected, which included at least two different primary care EHR databases.Results6054 studies were identified from database and hand searches, and 109 were included in the final review, the majority published between 2014 and 2018. Included studies used 38 different primary care EHR data sources. Forty-seven studies (44%) were descriptive or methodological. Of 62 analytical studies, 22 (36%) presented separate results from each database, with no attempt to combine them; 29 (48%) combined individual patient data in a one-stage meta-analysis and 21 (34%) combined estimates from each database using two-stage meta-analysis. Discussion and exploration of heterogeneity was inconsistent across studies.ConclusionsComparing patterns and trends in different populations, or in different primary care EHR databases from the same populations, is important and a common objective for multi-database studies. When combining results from several databases using meta-analysis, provision of separate results from each database is helpful for interpretation. We found that these were often missing, particularly for studies using one-stage approaches, which also often lacked details of any statistical adjustment for heterogeneity and/or clustering. For two-stage meta-analysis, a clear rationale should be provided for choice of fixed effect and/or random effects or other models.

Identifying Factors Predicting Immunization Delay for Children Followed in an Urban Primary Care Network Using an Electronic Health Record

PEDIATRICS ◽  
2006 ◽  
Vol 118 (6) ◽  
pp. e1680-e1686 ◽  
Author(s):  
A. G. Fiks ◽  
E. A. Alessandrini ◽  
A. A. Luberti ◽  
S. Ostapenko ◽  
X. Zhang ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Record ◽  
Health Record ◽  
Care Network ◽  
Electronic Health
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