Literature DB >> 21543972

A new instrument for measuring clinician satisfaction with electronic health records.

Paulina S Sockolow1, Jonathan P Weiner, Kathryn H Bowles, Harold P Lehmann.   

Abstract

A new survey instrument was developed and validated to measure clinician (nurse) satisfaction with electronic health record impact on clinical process. The Health Information Technology Reference-Based Evaluation Framework guided the selection of evaluation dimensions for the survey. Survey questions were gathered from existing health information technology satisfaction surveys that reflected individual evaluation concepts, such as efficiency or benefits. Decisions about data-gathering methods (e.g., item selection) were made based on reviews of literature and surveys of clinician satisfaction with health information technology and expert input. Preliminary instrument validation was accomplished using qualitative and statistical analysis of five repeated sets of responses from clinicians at the pilot site and field administrations repeated twice at electronic health record implementation and paper-based comparison sites and by analyzing convergent evidence from observations and interviews. Reliability was assessed on one sample: 30 graduate nursing students at the single pilot site. Validity was assessed on three separate samples: (1) graduate nursing students (n = 30), (2) field test at a site with electronic health record (n = 39 participants), and (3) field test at a paper-based site (n = 17). The implementation and comparison sites are Program of All-Inclusive Care for the Elderly that provide managed day care for frail elderly. Survey responses were assessed for test-retest reliability, internal consistency, and content and construct validity. The instrument design enables its administration before and after electronic health record implementation. Work to date suggests the instrument is reliable and valid; it is offered to electronic health record evaluators for further testing and application.

Entities:  

Mesh:

Year:  2011        PMID: 21543972     DOI: 10.1097/NCN.0b013e31821a1568

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  13 in total

1.  Evaluating the impact of electronic health records on nurse clinical process at two community health sites.

Authors:  Paulina S Sockolow; Cindy Liao; Jesse L Chittams; Kathryn H Bowles
Journal:  NI 2012 (2012)       Date:  2012-06-23

2.  Impact of homecare electronic health record on timeliness of clinical documentation, reimbursement, and patient outcomes.

Authors:  P S Sockolow; K H Bowles; M C Adelsberger; J L Chittams; C Liao
Journal:  Appl Clin Inform       Date:  2014-04-30       Impact factor: 2.342

3.  Electronic Health Record Adoption and Nurse Reports of Usability and Quality of Care: The Role of Work Environment.

Authors:  Ann Kutney-Lee; Douglas M Sloane; Kathryn H Bowles; Lawton R Burns; Linda H Aiken
Journal:  Appl Clin Inform       Date:  2019-02-20       Impact factor: 2.342

4.  Challenges and facilitators to adoption of a point-of-care electronic health record in home care.

Authors:  Paulina S Sockolow; Kathryn H Bowles; Marguerite C Adelsberger; Jesse L Chittams; Cindy Liao
Journal:  Home Health Care Serv Q       Date:  2014

5.  An evaluation of the user-friendliness of Bayesian forecasting programs in a clinical setting.

Authors:  Alzana A Kumar; Marc Burgard; Sonya Stacey; Indy Sandaradura; Tony Lai; Christine Coorey; Marisol Cincunegui; Christine E Staatz; Stefanie Hennig
Journal:  Br J Clin Pharmacol       Date:  2019-08-06       Impact factor: 4.335

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

Authors:  P S Sockolow; J P Weiner; K H Bowles; P Abbott; H P Lehmann
Journal:  Appl Clin Inform       Date:  2011-01-26       Impact factor: 2.342

7.  Interdisciplinary care team adoption of electronic point-of-care documentation systems: an unrealized opportunity.

Authors:  Paulina S Sockolow; Kathryn H Bowles; Michelle Rogers; Marguerite C Adelsberger; Jesse L Chittams; Cindy Liao
Journal:  Stud Health Technol Inform       Date:  2013

8.  Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects.

Authors:  Thomas Kannampallil; Joanna Abraham; Sunny S Lou; Philip R O Payne
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

Review 9.  Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures.

Authors:  Stephenie R Chaudoir; Alicia G Dugan; Colin H I Barr
Journal:  Implement Sci       Date:  2013-02-17       Impact factor: 7.327

10.  Frontline Nurse Feedback During the Development of a System to Track Cleaning of Portable Medical Equipment.

Authors:  Marjory D Williams; John David Coppin; JulieAnn Martel; Mark Stibich; Sarah Simmons; Deborah G Passey; Piyali Chatterjee; Hosoon Choi; Hector Ramirez; Patrick Crowley; Chetan Jinadatha
Journal:  Comput Inform Nurs       Date:  2021-11-01       Impact factor: 1.985

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