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Comparing a ses-sensitive and an all-ses implementation strategy to improve participation rates of patients with a lower socioeconomic background in a web-based intervention for depressive complaints: a cluster randomised trial in primary care
被引:0
|作者:
Leone, Stephanie S.
[1
]
Smeets, Odile
[2
]
Lokman, Suzanne
[3
]
Boon, Brigitte
[2
,3
,4
]
van der Poel, Agnes
[2
]
Van Doesum, Tessa
[1
]
Shields-Zeeman, Laura
[1
]
Kramer, Jeannet
[1
]
Smit, Filip
[1
,5
,6
]
机构:
[1] Netherlands Inst Mental Hlth & Addict, Dept Mental Hlth & Prevent, Trimbos Inst, Utrecht, Netherlands
[2] Acad Dorp, Arnhem, Netherlands
[3] Tilburg Univ, Tranzo, Tilburg Sch Social & Behav Sci, Tilburg, Netherlands
[4] Siza, Arnhem, Netherlands
[5] Univ Med Ctr Amsterdam, Publ Hlth Res Inst, Dept Epidemiol & Biostat, Amsterdam, Netherlands
[6] Univ Med Ctr Amsterdam, Publ Hlth Res Inst, Dept Clin Neuro & Dev Psychol, Amsterdam, Netherlands
来源:
关键词:
E-health;
Implementation;
Depression;
Primary Care;
Lower socio-economic status;
HEALTH LITERACY;
GLOBAL BURDEN;
SYMPTOMS;
DISORDER;
ANXIETY;
TECHNOLOGY;
PREVALENCE;
ACCEPTANCE;
THERAPY;
DISEASE;
D O I:
10.1186/s12875-022-01793-w
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
Background: Depression is a major public health concern, which is most pronounced in population segments with a lower social-economic status (SES). E-health interventions for depressive complaints are proven to be effective, but their reach needs to be improved, especially among people with a lower socioeconomic status (SES). Implementing e-health interventions in the primary care setting with SES-sensitive guidance from General Practice nurses (GP nurses) may be a useful strategy to increase the reach of e-health in lower SES groups. We implemented an evidence-based online intervention that targets depressive complaints in primary care. Methods: A pragmatic cluster-randomised trial was conducted in two parallel groups where a SES sensitive (SES-sens) implementation strategy with additional face-to-face guidance by GP nurses was compared to an all-SES implementation strategy. The primary outcome was the percentage of lower SES participants in either condition. Participation was defined as completing at least 1 face-to-face session and 2 online exercises. Participation rates were evaluated using logistic mixed modelling. Results: In both conditions, the participation rates of lower SES participants were quite high, but were notably lower in the SES-sens implementation condition (44%) than in the all-SES implementation condition (58%). This unexpected outcome remained statistically significant even after adjusting for potential confounders between the conditions (Odds Ratio 0.43, 95%-CI 0.22 to 0.81). Less guidance was provided by the GP nurses in the SES-sens group, contrary to the implementation instructions. Conclusions: From a public health point of view, it is good news that a substantial number of primary care patients with a lower SES level used the implemented e-health intervention. It is also positive that an all-SES implementation strategy performed well, and even outperformed a SES-sensitive strategy. However, this was an unexpected finding, warranting further research into tailoring implementation strategies of e-health interventions towards specific target groups in the primary care setting.
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