| Literature DB >> 27538884 |
Amanda Jayakody1, Jamie Bryant2, Mariko Carey2, Breanne Hobden2, Natalie Dodd2, Robert Sanson-Fisher2.
Abstract
BACKGROUND: Rates of readmission to hospital within 30 days are highest amongst those with chronic diseases. Effective interventions to reduce unplanned readmissions are needed. Providing support to patients with chronic disease via telephone may help prevent unnecessary readmission. This systematic review aimed to determine the methodological quality and effectiveness of interventions utilising telephone follow up (TFU) alone or in combination with other components in reducing readmission within 30 days amongst patients with cardiovascular disease, chronic respiratory disease and diabetes.Entities:
Keywords: Chronic disease; Patient readmission; Telephone follow up
Mesh:
Year: 2016 PMID: 27538884 PMCID: PMC4990979 DOI: 10.1186/s12913-016-1650-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Flow diagram of search strategy and selection
Methodological quality of included studies assessed by the EPOC risk of bias criteria
| Study | Design | Allocation sequence | Allocation concealment | Baseline outcome | Baseline characteristics | Incomplete outcomes | Blinding | Contamination | Selective reporting | Other bias |
|---|---|---|---|---|---|---|---|---|---|---|
| Anderson, 2005 [ | NRCT | H | H | U | H | U | L | H | L | U |
| Dai, 2003 [ | CBA | H | H | U | H | L | U | H | L | H |
| Jaarsma, 1999 [ | NRCT | U | U | L | L | U | L | H | L | L |
| McDonald, 2001 [ | NRCT | U | U | U | L | L | L | H | L | L |
| Naylor, 1994 [ | NRCT | U | U | U | H | U | L | H | L | L |
| Record, 2011 [ | NRCT | H | U | L | H | U | L | U | L | L |
| Riegel, 2006 [ | NRCT | U | L | U | U | L | L | H | L | L |
| Sales, 2014 [ | NRCT | U | U | U | L | L | L | H | L | L |
| Sorknaes, 2011 [ | NRCT | H | H | U | L | L | L | H | L | L |
| Sorknaes, 2013 [ | RCT | L | L | L | L | L | L | H | L | L |
Studies coded as high risk are labelled with “H”, those coded as low risk are labelled with an “L” and those studies coded as unclear (which did not provide sufficient information to assess risk of bias) are labelled with “U”
Categories of interventions by effectiveness
| Intervention categories | References | |
|---|---|---|
| Effective | Not effective | |
| Telephone follow-up and pre-discharge interventions | ||
| • Pre-discharge patient education and telephone follow-up | Sales et al. [ | - |
| • Pre-discharge planning and telephone follow-up | Dai et al.-craniotomy [ | Dai et al.-stroke [ |
| Telephone follow-up and post-discharge interventions | ||
| • Telephone follow-up, printed education materials and case management | - | Riegel et al. [ |
| Telephone follow-up and pre-and post-discharge interventions | ||
| • Pre-discharge education, telephone follow-up, and home visits | - | Jaarsma et al. [ |
| • Pre-discharge education, physical therapy and dietary consult, discharge planning, telephone follow up and home visits | Anderson et al. [ | - |
| • Patient-centred, transition-focused care curriculum for residents, medication assessment, telephone follow up and home visits | Record et al. [ | - |
| • Pre-discharge education, dietetic consults, telephone follow-up, and primary care or specialist follow-up | - | McDonald et al. [ |
| Telephone follow-up and telemedicine | ||
| • Telephone follow-up, telemedicine and telephone hotline | - | Sorknaes et al. 2011 [ |