Use care coordination, mHealth to better serve vulnerable populations
Coordinated care and mHealth technologies are key to reducing disparities in care for vulnerable populations, according to an article at Health Affairs.
Research on improving care tends to be narrowly focused and take too long to bring change at the clinical level--if it ever does, writes Joseph West, an epidemiologist and statistician, who is senior partner at the consultancy NextLevel Advisory Group and chief population health officer for NextLevel Health, a Medicaid managed-care entity.
The patient-centered medical home (PCMH) model, along with better data capture and analysis, offers the potential to bring an array of stakeholders together to improve care based on data compiled in real time.
mHealth technologies--including smartphones, Bluetooth-enabled patient monitoring devices, tablets, and cloud-based software applications--already are being implemented in low- and middle-income countries for real-time data collection, patient monitoring, client-centered care management, and health information exchange.
These devices allow for community health workers to include factors such as transportation needs, family dynamics and more into the record to help create individualized care plans and outreach strategies for vulnerable populations, according to West.
The use of health information platforms, EHRs, and non-physician personnel such as nutritionists and navigators are vital to such efforts, West writes, while dashboards and report cards can help measure progress against key benchmarks.
A study of patient-centered medical homes published in the Annals of Internal Medicine found that technology alone did not improve care, but rather a team-based culture of quality improvement.
The Institute of Medicine urges including social and behavioral health information, including information about neighborhoods and communities, sexual orientation, country of origin, education, employment, exposure to violence and more in electronic health records to give care providers the most complete picture of the patient.
In addition, researchers from Ohio State University found higher education and better access to grocery stores and farmers markets were associated with lower risk of obesity, information they noted could be useful to doctors.
To learn more:
- read the article
Community health centers embrace EHRs, collect occupational health info
The value of medical homes: Culture not tech
Adding community info to EHRs could prevent obesity, researchers say
IOM: Put social, behavioral data in EHRs
Big data plus mapping equals opportunities to improve care, cut costs
Meaningful Use Stage 3 may require social, behavioral data capture