scholarly journals Adherence With Online Therapy vs Face-to-Face Therapy and With Online Therapy vs Care as Usual: Secondary Analysis of Two Randomized Controlled Trials

10.2196/31274 ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. e31274
Author(s):  
Sonia Lippke ◽  
Lingling Gao ◽  
Franziska Maria Keller ◽  
Petra Becker ◽  
Alina Dahmen

Background Adherence to internet-delivered interventions targeting mental health such as online psychotherapeutic aftercare is important for the intervention’s impact. High dropout rates limit the impact and generalizability of findings. Baseline differences may be putting patients at risk for dropping out, making comparisons between online with face-to-face (F2F) therapy and care as usual (CAU) necessary to examine. Objective This study investigated adherence to online, F2F, and CAU interventions as well as study dropout among these groups and the subjective evaluation of the therapeutic relationship. Sociodemographic, social-cognitive, and health-related variables were considered. Methods In a randomized controlled trial, 6023 patients were recruited, and 300 completed the baseline measures (T1), 144 completed T2 (retention 44%-52%), and 95 completed T3 (retention 24%-36%). Sociodemographic variables (eg, age, gender, marital status, educational level), social-cognitive determinants (eg, self-efficacy, social support), health-related variables (eg, depressiveness), and expectation towards the treatment for patients assigned to online or F2F were measured at T1. Results There were no significant differences between the groups regarding dropout rates (χ21=0.02-1.06, P≥.30). Regarding adherence to the treatment condition, the online group outperformed the F2F and CAU conditions (P≤.01), indicating that patients randomized into the F2F and CAU control groups were much more likely to show nonadherent behavior in comparison with the online therapy groups. Within study groups, gender differences were significant only in the CAU group at T2, with women being more likely to drop out. At T3, age and marital status were also only significant in the CAU group. Patients in the online therapy group were significantly more satisfied with their treatment than patients in the F2F group (P=.02; Eta²=.09). Relationship satisfaction and success satisfaction were equally high (P>.30; Eta²=.02). Combining all study groups, patients who reported lower depressiveness scores at T1 (T2: odds ratio [OR] 0.55, 95% CI 0.35-0.87; T3: OR 0.56, 95% CI 0.37-0.92) were more likely to be retained, and patients who had higher self-efficacy (T2: OR 0.57, 95% CI 0.37-0.89; T3: OR 0.52, 95% CI 0.32-0.85) were more likely to drop out at T2 and T3. Additionally, at T3, the lower social support that patients reported was related to a higher likelihood of remaining in the study (OR 0.68, 95% CI 0.48-0.96). Comparing the 3 intervention groups, positive expectation was significantly related with questionnaire completion at T2 and T3 after controlling for other variables (T2: OR 1.64, 95% CI 1.08-2.50; T3: OR 1.59, 95% CI 1.01-2.51). Conclusions While online interventions have many advantages over F2F variants such as saving time and effort to commute to F2F therapy, they also create difficulties for therapists and hinder their ability to adequately react to patients’ challenges. Accordingly, patient characteristics that might put them at risk for dropping out or not adhering to the treatment plan should be considered in future research and practice. Online aftercare, as described in this research, should be provided more often to medical rehabilitation patients. Trial Registration ClinicalTrials.gov NCT04989842; https://clinicaltrials.gov/ct2/show/NCT04989842

2021 ◽  
Author(s):  
Sonia Lippke ◽  
Lingling Gao ◽  
Franziska Maria Keller ◽  
Petra Becker ◽  
Alina Dahmen

BACKGROUND Adherence to internet-delivered interventions targeting mental health such as online psychotherapeutic aftercare is important for the intervention’s impact. High dropout rates limit the impact and generalizability of findings. Baseline differences may be putting patients at risk for dropping out, making comparisons between online with face-to-face (F2F) therapy and care as usual (CAU) necessary to examine. OBJECTIVE This study investigated adherence to online, F2F, and CAU interventions as well as study dropout among these groups and the subjective evaluation of the therapeutic relationship. Sociodemographic, social-cognitive, and health-related variables were considered. METHODS In a randomized controlled trial, 6023 patients were recruited, and 300 completed the baseline measures (T1), 144 completed T2 (retention 44%-52%), and 95 completed T3 (retention 24%-36%). Sociodemographic variables (eg, age, gender, marital status, educational level), social-cognitive determinants (eg, self-efficacy, social support), health-related variables (eg, depressiveness), and expectation towards the treatment for patients assigned to online or F2F were measured at T1. RESULTS There were no significant differences between the groups regarding dropout rates (χ<sup>2</sup><sub>1</sub>=0.02-1.06, <i>P</i>≥.30). Regarding adherence to the treatment condition, the online group outperformed the F2F and CAU conditions (<i>P</i>≤.01), indicating that patients randomized into the F2F and CAU control groups were much more likely to show nonadherent behavior in comparison with the online therapy groups. Within study groups, gender differences were significant only in the CAU group at T2, with women being more likely to drop out. At T3, age and marital status were also only significant in the CAU group. Patients in the online therapy group were significantly more satisfied with their treatment than patients in the F2F group (<i>P</i>=.02; Eta²=.09). Relationship satisfaction and success satisfaction were equally high (<i>P</i>&gt;.30; Eta²=.02). Combining all study groups, patients who reported lower depressiveness scores at T1 (T2: odds ratio [OR] 0.55, 95% CI 0.35-0.87; T3: OR 0.56, 95% CI 0.37-0.92) were more likely to be retained, and patients who had higher self-efficacy (T2: OR 0.57, 95% CI 0.37-0.89; T3: OR 0.52, 95% CI 0.32-0.85) were more likely to drop out at T2 and T3. Additionally, at T3, the lower social support that patients reported was related to a higher likelihood of remaining in the study (OR 0.68, 95% CI 0.48-0.96). Comparing the 3 intervention groups, positive expectation was significantly related with questionnaire completion at T2 and T3 after controlling for other variables (T2: OR 1.64, 95% CI 1.08-2.50; T3: OR 1.59, 95% CI 1.01-2.51). CONCLUSIONS While online interventions have many advantages over F2F variants such as saving time and effort to commute to F2F therapy, they also create difficulties for therapists and hinder their ability to adequately react to patients’ challenges. Accordingly, patient characteristics that might put them at risk for dropping out or not adhering to the treatment plan should be considered in future research and practice. Online aftercare, as described in this research, should be provided more often to medical rehabilitation patients. CLINICALTRIAL ClinicalTrials.gov NCT04989842; https://clinicaltrials.gov/ct2/show/NCT04989842


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pimrapat Gebert ◽  
Daniel Schindel ◽  
Johann Frick ◽  
Liane Schenk ◽  
Ulrike Grittner

Abstract Background Patient-reported outcome measures (PROMs) are commonly-used surrogates for clinical outcomes in cancer research. When researching severe diseases such as cancer, it is difficult to avoid the problem of incomplete questionnaires from drop-outs or missing data from patients who pass away during the observation period. The aim of this exploratory study was to explore patient characteristics and the patient-reported outcomes associated with the time-to-dropout. Methods In an Oncological Social Care Project (OSCAR) study, the condition of the participants was assessed four times within 12 months (t0: baseline, t1: 3 months, t2: 6 months, and t3: 12 months) by validated PROMs. We performed competing-risk regressions based on Fine and Gray’s proportional sub-distribution hazards model for exploring factors associated with time-to-dropout. Death was considered a competing risk. Results Three hundred sixty-two participants were analyzed in the study. 193 (53.3%) completed a follow-up after 12 months, 67 (18.5%) patients dropped out, and 102 patients (28.2%) died during the study period. Poor subjective social support was related to a higher risk of drop-out (SHR = 2.10; 95%CI: 1.01–4.35). Lower values in health-related quality of life were related to drop-out and death. The sub-scales global health status/QoL, role functioning, physical functioning, and fatigue symptom in the EORTC QLQ-C30 were key characteristics of early drop-out. Conclusion Severely affected cancer patients with poor social support and poor quality of life seem more likely to drop out of studies than patients with higher levels of social support and a better quality of life. This should be considered when planning studies to assess advanced cancer patients. Methods of close continued monitoring should be actively used when patient experiences a substantial deterioration in their health-related quality of life and symptoms during the study. Results for such studies have to be interpreted with caution in light of specific drop-out mechanisms. Trial registration OSCAR study was registered to the German Clinical Trials Register (DRKS-ID: DRKS00013640). Registered 29 December 2017.


Author(s):  
Emmanuel Uzodinma Iwuozo ◽  
Reginald Onyeadumarakwe Obiako ◽  
Terhemen Joseph Igbudu ◽  
Adesola Ogunniyi

Introduction: There is a growing global interest on the effect of epilepsy on the subjective health-related quality of life (HRQoL) of the sufferers. Several demographic, clinical, and psychosocial factors have been attributed as contributory to the poor HRQoL in patients (persons) with epilepsy (PWE). Aim: This study evaluated the relationship between demographic, clinical and psychosocial characteristics of PWE and their HRQoL. Study Design: A cross-sectional study. Place and Duration of Study: Study carried out at Neurology clinic of Ahmadu Bello University Teaching Hospital Kaduna State, Nigeria from September 2013 to December 2014. Methodology: Consecutively presenting PWE on follow-up for at least 1 year, 18 years and above were recruited after obtaining ethical approval and informed consent. Structured questionnaire and the World Health Organization Quality of Life (WHOQOL-Bref) instrument were utilized for the study. The data was analyzed using SPSS version 17 with p-value set at less than 0.05. Results: The participants were one hundred with median age of 29 years. The factors found to have significant relationship with HRQoL were demographic variables like marital status (F = 3.250, p = 0.025) and monthly income (t = - 2.883; p= 0.005); psychosocial factors like presence of perceived stigma or discrimination (χ2 = 2.427, p = 0.017), presence of depressive symptom in the preceding month (χ2 = 3.164, p = 0.002) and availability of social support (χ2 = 3.328, P = 0.001). There was no significant relationship found between clinical factors and HRQoL of PWE (p > 0.05). Conclusion: The demographic factors (marital status and monthly income) and psychosocial factors (stigma, depression and social support) had a significant relationship with HRQoL in PWE. There is a need to offer evidence-based and focused care to the sufferers of this illness.


2014 ◽  
Author(s):  
Grant C. Corser ◽  
Joseph M. Goodman ◽  
Matthew Schmidt ◽  
Candace Fowles ◽  
Michael Sauceda

2019 ◽  
Author(s):  
Olufolake Olabode ◽  
Timothy Omoluru ◽  
Olawunmi Olagundoye ◽  
Akinyele Akinlade ◽  
Henry Akujobi ◽  
...  

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