| Literature DB >> 25012939 |
Hannah Anderson Hughes1, Bradi B Granger.
Abstract
Heart failure is a debilitating illness that requires patients to be actively engaged in self-management. Self-management practices, including maintenance and management of an evidence-based medication regimen, are associated with improved outcomes. Yet, sustained engagement with self-management practices remains a challenge. Both self-management practices and clinical outcomes differ by race, with the poorest self-management and clinical outcomes reported in Blacks. Contemporary interventions to address self-management and reverse current trends in outcomes have evaluated the use of technology. Technological innovations, such as text messaging, social networking, and online learning platforms may provide a more accessible means for self-management of heart failure, yet these innovations have been understudied in the population at greatest risk - Blacks with heart failure. We conducted a review and discovered only four studies evaluating use of technology for self-management in Blacks. More studies are needed to close the gap on racial disparities and use of technology for self-management.Entities:
Mesh:
Year: 2014 PMID: 25012939 PMCID: PMC4118038 DOI: 10.1007/s11897-014-0213-9
Source DB: PubMed Journal: Curr Heart Fail Rep ISSN: 1546-9530
Fig. 1Search process flowchart
Summary of articles
| Author(s) | Study Design | Setting/Sample | Technology(ies) Used | Strengths/Weaknesses |
|---|---|---|---|---|
| Nahm, et al. (2008) | Exploratory, Single Group Survey Design 4-week intervention | N = 44; (21 or 47.7 % Black) Mean age = 72 years SD = 9 Convenience sample Recruited from a parent MCCD study over 5 months | Internet | Strengths: • Analysis conducted based on Black sample Weaknesses: • Lack of a control group • Lack of random sampling • Small sample size and Black sample • Short intervention length • Majority men (71.6 %) • Majority with NYHA Class III (83 %) • Researcher-developed measures without reliability/validity |
| Benatar, et al. (2010) | Prospective, randomized | N = 216 (186 or 86.1 % Black) Mean age = 63.06 years SD = 12.09 Convenience sample 3 home healthcare agencies & 2 medical centers | • Trans-telephonic monitoring devices • Internet • Telephone | Strengths: • Large sample size • RCT design with control group • 4 data collection time points • No attrition during the 3 month intervention • Four study settings • Large Black sample Weaknesses: Predominantly female sample (63 %) |
| Copeland, et al. (2010) | Prospective, randomized controlled trial 1-year intervention | N = 458 ( 32 or 7 % Black) Mean age = 70 years SD 11 (range 45 – 95) Convenience sample Veteran’s Affairs | • Telephone • EMR | Strengths: • RCT design with control group • AHA guidelines used to develop the educational content • Motivational interviewing & coaching used • Length of the intervention • Three data collection time points • Tailored intervention frequency based on categorization of patients as low, medium, or high risk Weaknesses: • Small Black sample • Heterogeneous VA sample • Baseline differences between the control and the intervention groups • Single location participant recruitment • No analysis on the Black sample |
| Nundy, et al. (2013) | Pre/Post Study 30-day intervention | N = 6 (100 % Black) N = 15 enrolled Mean age = 50 years Convenience sample Large, academic medical center | • Mobile Phone • SMS | Strengths: • 100 % Black sample • Assessment of self-care pre & post intervention Weaknesses: • Small sample size • Lack of random sampling. Single location participant recruitment |