Showing posts with label Electronic Medical Record. Show all posts
Showing posts with label Electronic Medical Record. Show all posts

Saturday, February 27, 2016

A Novel Method for Estimating Transgender Status Using Electronic Medical Records

PURPOSE:
We describe a novel algorithm for identifying transgender people and determining their male-to-female (MTF) or female-to-male (FTM) identity in electronic medical records of an integrated health system.

METHODS:
A computer program scanned Kaiser Permanente Georgia electronic medical records from January 2006 through December 2014 for relevant diagnostic codes, and presence of specific keywords (e.g., "transgender" or "transsexual") in clinical notes. Eligibility was verified by review of de-identified text strings containing targeted keywords, and if needed, by an additional in-depth review of records. Once transgender status was confirmed, FTM or MTF identity was assessed using a second program and another round of text string reviews.

RESULTS:
Of 813,737 members, 271 were identified as possibly transgender: 137 through keywords only, 25 through diagnostic codes only, and 109 through both codes and keywords. Of these individuals, 185 (68%, 95% confidence interval [CI]: 62%-74%) were confirmed as definitely transgender. The proportions (95% CIs) of definite transgender status among persons identified via keywords, diagnostic codes, and both were 45% (37%-54%), 56% (35%-75%), and 100% (96%-100%). Of the 185 definitely transgender people, 99 (54%, 95% CI: 46%-61%) were MTF, 84 (45%, 95% CI: 38%-53%) were FTM. For two persons, gender identity remained unknown. Prevalence of transgender people (per 100,000 members) was 4.4 (95% CI: 2.6-7.4) in 2006 and 38.7 (95% CI: 32.4-46.2) in 2014.

CONCLUSIONS:
The proposed method of identifying candidates for transgender health studies is low cost and relatively efficient. It can be applied in other similar health care systems.

Purchase full article at:   http://goo.gl/2issyt

  • 1School of Public Health, Georgia State University, Atlanta; Center for Clinical and Outcomes Research, Kaiser Permanente Georgia, Atlanta.
  • 2Center for Clinical and Outcomes Research, Kaiser Permanente Georgia, Atlanta.
  • 3Rollins School of Public Health, Emory University, Atlanta, GA.
  • 4Emory College of Arts and Sciences, Atlanta, GA.
  • 5Division of Research, Kaiser Permanente, Oakland, CA.
  • 6Kaiser Permanente Southern California, Pasadena.
  • 7Emory University, School of Medicine, Atlanta, GA; The Atlanta VA Medical Center, Atlanta, GA.
  • 8Rollins School of Public Health, Emory University, Atlanta, GA. Electronic address: mgoodm2@emory.edu. 



Sunday, February 14, 2016

Qualitative Analysis of Programmatic Initiatives to Text Patients with Mobile Devices in Resource-Limited Health Systems

Background
Text messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this technology. Formative evaluations of texting implementation experiences are limited. We interviewed safety net health systems piloting texting initiatives to study facilitators and barriers to real-world implementation.

Methods
We conducted telephone interviews with various stakeholders who volunteered from each of the eight California-based safety net systems that received external funding to pilot a texting-based program of their choosing to serve a primary care need. We developed a semi-structured interview guide based partly on the Consolidated Framework for Implementation Research (CFIR), which encompasses several domains: the intervention, individuals involved, contextual factors, and implementation process. We inductively and deductively (using CFIR) coded transcripts, and categorized themes into facilitators and barriers.

Results
We performed eight interviews (one interview per pilot site). Five sites had no prior texting experience. Sites applied texting for programs related to medication adherence and monitoring, appointment reminders, care coordination, and health education and promotion. No site texted patient-identifying health information, and most sites manually obtained informed consent from each participating patient. Facilitators of implementation included perceived enthusiasm from patients, staff and management belief that texting is patient-centered, and the early identification of potential barriers through peer collaboration among grantees. Navigating government regulations that protect patient privacy and guide the handling of protected health information emerged as a crucial barrier. A related technical challenge in five sites was the labor-intensive tracking and documenting of texting communications due to an inability to integrate texting platforms with electronic health records.

Conclusions
Despite enthusiasm for the texting programs from the involved individuals and organizations, inadequate data management capabilities and unclear privacy and security regulations for mobile health technology slowed the initial implementation and limited the clinical use of texting in the safety net and scope of pilots. Future implementation work and research should investigate how different texting platform and intervention designs affect efficacy, as well as explore issues that may affect sustainability and the scalability.

Full article at:   http://goo.gl/SAsnqs

Division of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA
Department of Social and Behavior Sciences, UCSF, San Francisco, USA
Center for Care Innovations, Oakland, USA
Department of Epidemiology and Biostatistics, UCSF, San Francisco, USA
Sachin K. Garg, Phone: (415) 353-7900,  ude.fscu@grag.nihcas.




Sunday, July 26, 2015

Using the Electronic Medical Record to Refer Women Taking Category D or X Medications for Teratogen and Contraceptive Counseling

Read at: http://ht.ly/Q6ysL HT @UCSDHealth 


The primary care physicians who prescribe the potential teratogens should ensure patients know about highly effective contraceptives. However, a study by Eisenberg identified that time constraint is a major barrier to adequate contraceptive counseling. Internists in the Eisenberg study believed that an electronic medical records (EMR) alert would be worthwhile. In addition, two-thirds of the internists agreed that “a referral or telephone consultation service for assistance in providing appropriate contraception for women on potential teratogens would be useful” ().

The EMR provides an opportunity to identify women taking potentially teratogenic medications and offer teratogen and contraceptive counseling. These women specifically may benefit from more counseling about longacting reversible contraception. The purpose of this study was to explore the feasibility and patient satisfaction with an EMR alert, and a referral system for teratogen and contraceptive counseling.