Evidence map›Paper›PMID 23475640›Full record

ArticleJournal of general internal medicine2013

Mixed-methods evaluation of a telehealth collaborative care program for persons with HIV infection in a rural setting.

Michael Ohl, Dena Dillon, Jane Moeckli, Sarah Ono, Nancee Waterbury, Jo Sissel, Jun Yin, Brian Neil, Bonnie Wakefield, Peter Kaboli

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Factors associated with quality of life, depressive symptoms, and perceived stress among rural older adults living with HIV in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The HIV Treat Pillar: An Update and Summary of Promising Approaches.American journal of preventive medicine · 2021
    Article
  18. Article
  19. Human Immunodeficiency Virus-Experienced Clinician Workforce Capacity: Urban-Rural Disparities in the Southern United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Michael OhlVA Office of Rural Health (ORH), Veterans Rural Health Resource Center-Central Region, Iowa City VAMC, Iowa City, IA, USA. michael.ohl@va.gov
Dena Dillon
Jane Moeckli
Sarah Ono
Nancee Waterbury
Jo Sissel
Jun Yin
Brian Neil
Bonnie Wakefield
Peter Kaboli
Iowa City VA Health Care System · USIowa City VA Medical Center · USUniversity of Iowa · USVA Midwest Health Care Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelivery of comprehensive care for persons with human immunodeficiency virus (HIV) infection in rural and low prevalence settings presents many challenges. We developed and evaluated a telehealth collaborative care (TCC) program for persons with HIV in a rural area.

objectiveTo determine the feasibility of TCC, and identify factors influencing implementation in rural settings.

designMixed methods evaluation of a quality improvement program with pre-measures and post-measures. PATIENTS: Veterans with HIV infection in Iowa and Illinois.

interventionTCC integrated HIV specialty care delivered by clinical video telehealth, with primary care delivered by generalist providers, in seven Community Based Outpatient Clinics (CBOCs) serving rural areas. Principles guiding TCC design were: 1) clear delineation of specialty and primary care clinic roles in co-managed care; 2) creation of processes to improve care coordination between specialty and primary care teams; and 3) use of a patient registry for population management across sites. MEASURES: Veterans Affairs (VA) healthcare system performance measures for care for HIV infection and common comorbidities, patient travel time to obtain care, and patient satisfaction. Qualitative evaluation involved semi-structured telephone interviews with patients. KEY

resultsThirty of 32 eligible patients chose TCC over traveling to the HIV clinic for all care. Among 24 patients in TCC during the June 2011-May 2012 evaluation period, median age was 54 (range, 40-79), most (96 %) were men, and median CD4 count was 707 cells/cm(3) (range, 233-1307). VA performance measures were met for > 90 % of TCC patients. Median yearly travel time decreased from 320 min per patient prior to TCC to 170 min during TCC (p < 0.001). Interview themes included: 1) overcoming privacy concerns during care in local primary care clinics; 2) tradeoffs between access, continuity, and care coordination; and 3) the role of specialist involvement in collaborative care. DISCUSSION: Telehealth Collaborative Care is a feasible approach to providing accessible and comprehensive care for persons with HIV in rural settings.

Indexed as

AdultAgedCooperative BehaviorDelivery of Health Care, IntegratedEvaluation Studies as TopicFeasibility StudiesFemaleHealth Services AccessibilityHealth Services ResearchHIV InfectionsHumansIllinoisIowaMaleMiddle AgedPatient Care Team

Identifiers

PMID23475640
PMCPMC3744312
OpenAlexW2050936785

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.