2013
DOI: 10.1186/1471-2288-13-10
|View full text |Cite|
|
Sign up to set email alerts
|

Qualitative systematic reviews of treatment burden in stroke, heart failure and diabetes - Methodological challenges and solutions

Abstract: BackgroundTreatment burden can be defined as the self-care practices that patients with chronic illness must perform to respond to the requirements of their healthcare providers, as well as the impact that these practices have on patient functioning and well being. Increasing levels of treatment burden may lead to suboptimal adherence and negative outcomes. Systematic review of the qualitative literature is a useful method for exploring the patient experience of care, in this case the experience of treatment b… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
83
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 66 publications
(86 citation statements)
references
References 56 publications
3
83
0
Order By: Relevance
“…Cessation fatigue was positively associated with workload factors related to both general life stress and cessation-specific difficulty (i.e., withdrawal severity, difficulty quitting, and treatment burden), and negatively associated with capacity to manage these workload factors (i.e., quitting social support, willpower). While several reviews have described treatment burden among those with a range of chronic medical conditions (Eton et al, 2013; Gallacher et al, 2013a; Gallacher et al, 2013b), examining the psychological impact of that burden (i.e., treatment fatigue), is a growing area of interest. This has been done primarily in the diabetes (Fritschi and Quinn, 2010; Pyatak et al, 2013) and HIV literature (Claborn et al, 2015a, 2015b; Miramontes, 2001).…”
Section: Discussionmentioning
confidence: 99%
“…Cessation fatigue was positively associated with workload factors related to both general life stress and cessation-specific difficulty (i.e., withdrawal severity, difficulty quitting, and treatment burden), and negatively associated with capacity to manage these workload factors (i.e., quitting social support, willpower). While several reviews have described treatment burden among those with a range of chronic medical conditions (Eton et al, 2013; Gallacher et al, 2013a; Gallacher et al, 2013b), examining the psychological impact of that burden (i.e., treatment fatigue), is a growing area of interest. This has been done primarily in the diabetes (Fritschi and Quinn, 2010; Pyatak et al, 2013) and HIV literature (Claborn et al, 2015a, 2015b; Miramontes, 2001).…”
Section: Discussionmentioning
confidence: 99%
“…Several qualitative studies have been conducted to conceptualize patient concerns [10, 11], and examine how well these are addressed by primary care providers [12]. These studies are complemented by systematic reviews of studies that examined treatment burden both qualitatively [13, 14] and quantitatively [15, 16]. Studies reviewed rarely focused on treatment burden specifically, but a priori definitions of burden were used to identify relevant patient responses.…”
Section: Treatment Burdenmentioning
confidence: 99%
“…This finding is significant because most systematic reviews do not include grey literature in their search strategy (e.g. see reviews by Gallacher et al 13 , De Pinho Campos et al 32 and Hunter et al 33 ). Systematic reviews relating to policy making may fail to identify important evidence if they do not extend beyond database searching 34 , because evidence in the social sciences, social policy and case law may not be indexed in searchable electronic databases.…”
Section: Key Sources Of Evidence In the Grey Literaturementioning
confidence: 98%
“…12 As we extracted data, we documented specific information about the strengths and limitations of each article, using the quality appraisal instrument developed by Gallacher et al 13 as a guide, because of its flexibility in appraising documents that do not follow a typical study design.…”
Section: Data Extractionmentioning
confidence: 99%