scholarly journals Evaluation of a Web-Based Intervention for Multiple Health Behavior Changes in Patients With Coronary Heart Disease in Home-Based Rehabilitation: Pilot Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Yan Ping Duan ◽  
Wei Liang ◽  
Lan Guo ◽  
Julian Wienert ◽  
Gang Yan Si ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Healthy Lifestyle ◽  
Controlled Trial ◽  
Cardiac Patients ◽  
Control Group ◽  
Web Based ◽  
Internal Resources ◽  
Randomized Controlled

BACKGROUND Web-based and theory-based interventions for multiple health behaviors appears to be a promising approach with respect to the adoption and maintenance of a healthy lifestyle in cardiac patients who have been discharged from the hospital. Until now, no randomized controlled trials have tested this assumption among Chinese rehabilitation patients with coronary heart disease using a Web-based intervention. OBJECTIVE The study aim was to evaluate the effect of an 8-week Web-based intervention in terms of physical activity (PA), fruit and vegetable consumption (FVC), lifestyle changes, social-cognitive outcomes, and health outcomes compared with a waiting control group in Chinese cardiac patients. The intervention content was theory-based on the health action process approach. Self-reported data were evaluated, including PA, FVC, healthy lifestyle (the synthesis of PA and FVC), internal resources (combination of intention, self-efficacy, and planning), and an external resource (social support) of PA and FVC behaviors, as well as perceived health outcomes (body mass index, quality of life, and depression). METHODS In a randomized controlled trial, 136 outpatients with coronary heart disease from the cardiac rehabilitation center of a hospital in China were recruited. After randomization and exclusion of unsuitable participants, 114 patients were assigned to 1 of the 2 groups: (1) the intervention group: first 4 weeks on PA and subsequent 4 weeks on FVC and (2) the waiting control group. A total of 2 Web-based assessments were conducted, including 1 at the beginning of the intervention (T1, N=114), and 1 at the end of the 8-week intervention (T2, N=83). The enrollment and follow-up took place from December 2015 to May 2016. RESULTS The Web-based intervention outperformed the control condition for PA, FVC, internal resources of PA and FVC, and an external resource of FVC, with an eta-squared effect size ranging from 0.06 to 0.43. Furthermore, the intervention effect was seen in the improvement of quality of life (F1,79=16.36, P<.001, η2=.17). When predicting a healthy lifestyle at follow-up, baseline lifestyle (odds ratio, OR 145.60, 95% CI 11.24-1886; P<.001) and the intervention (OR 21.32, 95% CI 2.40-189.20; P=.006) were found to be significant predictors. Internal resources for FVC mediated the effect of the intervention on the adoption of a healthy lifestyle (R2adj=.29; P=.001), indicating that if the intervention increased the internal resource of behavior, the adoption of a healthy lifestyle was more likely. CONCLUSIONS Patients’ psychological resources such as motivation, self-efficacy, planning, and social support as well as lifestyle can be improved by a Web-based intervention that focuses on both PA and FVC. Such an intervention enriches extended rehabilitation approaches for cardiac patients to be active and remain healthy in daily life after hospital discharge. CLINICALTRIAL ClinicalTrials.gov NCT01909349; https://clinicaltrials.gov/ct2/show/NCT01909349 (Archived by WebCite at http://www.webcitation.org/6pHV1A0G1)

scholarly journals A Web-Based Intervention for Users of Amphetamine-Type Stimulants: 3-Month Outcomes of a Randomized Controlled Trial

2014 ◽  
Vol 1 (1) ◽  
pp. e1 ◽  
Author(s):  
Robert J Tait ◽  
Rebecca McKetin ◽  
Frances Kay-Lambkin ◽  
Bradley Carron-Arthur ◽  
Anthony Bennett ◽  
...  
Keyword(s):  
Drug Use ◽  
Help Seeking ◽  
Controlled Trial ◽  
Intervention Group ◽  
Control Group ◽  
Web Based ◽  
Randomized Controlled ◽  
Time Interaction ◽  
Days Out Of Role

Background Among illicit drugs, the prevalence of amphetamine-type stimulant (ATS) use is second only to cannabis. Currently, there are no approved pharmacotherapies for ATS problems, but some face-to-face psychotherapies are effective. Web-based interventions have proven to be effective for some substance use problems, but none has specifically targeted ATS users. Objective The objective of the study was to evaluate the effectiveness of a Web-based intervention for ATS problems on a free-to-access site compared with a waitlist control group. Methods We used a randomized controlled trial design. The primary outcome measure was self-reported ATS use in the past three months assessed using the Alcohol, Smoking, Substance Involvement Screening Test (ASSIST). Other measures included quality of life (EUROHIS score), psychological distress (K-10 score), days out of role, poly-drug use, general help-seeking intentions, actual help-seeking, and “readiness to change”. The intervention consisted of three fully automated, self-guided modules based on cognitive behavioral therapy and motivation enhancement. The analysis was an intention-to-treat analysis using generalized estimating equation models, with a group by time interaction as the critical assessment. Results We randomized 160 people (intervention n=81, control n=79). At three months, 35/81 (43%) intervention and 45/79 (57%) control participants provided follow-up data. In the intervention group, 51/81 (63%) completed at least one module. The only significant group by time interaction was for days out of role. The pre/post change effect sizes showed small changes (range d=0.14 to 0.40) favoring the intervention group for poly-drug use, distress, actual help-seeking, and days out of role. In contrast, the control group was favored by reductions in ATS use, improvements in quality of life, and increases in help-seeking intentions (range d=0.09 to 0.16). Conclusions This Web-based intervention for ATS use produced few significant changes in outcome measures. There were moderate, but nonsignificant reductions in poly-drug use, distress, days partially out of role, and increases in help-seeking. However, high levels of participant attrition, plus low levels of engagement with the modules, preclude firm conclusions being drawn on the efficacy of the intervention and emphasize the problems of engaging this group of clients in a fully automated program. Trial Registration Australian and New Zealand Clinical Trials Registry: ACTRN 12611000947909; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12611000947909 (Archived by WebCite at http://www.webcitation.org/6SHTxEnzP).

scholarly journals Coach-Facilitated Web-Based Therapy Compared With Information About Web-Based Resources in Patients Referred to Secondary Mental Health Care for Depression: Randomized Controlled Trial

10.2196/15001 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15001
Author(s):  
Sarah MacLean ◽  
Daniel J Corsi ◽  
Sadie Litchfield ◽  
Julia Kucharski ◽  
Kira Genise ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Care ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Intervention Group ◽  
Control Group ◽  
Web Based ◽  
Randomized Controlled

Background Depression is a common mental disorder with a high social burden and significant impact on suicidality and quality of life. Treatment is often limited to drug therapies because of long waiting times to see psychological therapists face to face, despite several guidelines recommending that psychological treatments should be first-line interventions for mild to moderate depression. Objective We aimed to evaluate, among patients on a waitlist to receive secondary mental health care services for depression, how effective coach-guided web-based therapy (The Journal) is, compared with an information-only waitlist control group, in reducing depression symptoms after 12 weeks. Methods We conducted a randomized controlled trial with 2 parallel arms and a process evaluation, which included interviews with study participants. Participants assigned to the intervention group received 12 weeks of web-based therapy guided by a coach who had a background in social work. Patients in the control group receive a leaflet of mental health resources they could access. The primary outcome measure was a change in depression scores, as measured by the Patient-Health Questionnaire (PHQ-9). Results A total of 95 participants were enrolled (intervention, n=47; control, n=48). The mean change in PHQ-9 scores from baseline to week 12 was −3.6 (SD 6.6) in the intervention group and −3.1 (SD 6.2) in the control group, which was not a statistically significant difference with a two-sided alpha of .05 (t91=−0.37; P=.72, 95% CI −3.1 to 2.2). At 12 weeks, participants in the intervention group reported higher health-related quality of life (mean EuroQol 5 dimensions visual analogue scale [EQ-5D-VAS] score 66.8, SD 18.0) compared with the control group (mean EQ-5D VAS score 55.9, SD 19.2; t84=−2.73; P=.01). There were no statistically significant differences between the two groups in health service use following their initial consultation with a psychiatrist. The process evaluation showed that participants in the intervention group completed a mean of 5.0 (SD 2.3) lessons in The Journal and 8.8 (SD 3.1) sessions with the coach. Most participants (29/47, 62%) in the intervention group who completed the full dose of the intervention, by finishing 6 or more lessons in The Journal, were more likely to have a clinically important reduction in depressive symptoms at 12 weeks compared with the control group (Χ21=6.3; P=.01, Φ=0.37). Participants who completed the interviews reported that the role played by the coach was a major factor in adherence to the study intervention. Conclusions The results demonstrate that the use of guided web-based therapy for the treatment of depression is not more effective than information-only waitlist control. However, it showed that the coach has the potential to increase adherence and engagement with web-based depression treatment protocols. Further research is needed on what makes the coach effective. Trial Registration ClinicalTrials.gov: NCT02423733; https://clinicaltrials.gov/ct2/show/NCT02423733

scholarly journals Coach-Facilitated Web-Based Therapy Compared With Information About Web-Based Resources in Patients Referred to Secondary Mental Health Care for Depression: Randomized Controlled Trial (Preprint)

2019 ◽  
Author(s):  
Sarah MacLean ◽  
Daniel J. Corsi ◽  
Sadie Litchfield ◽  
Julia Kucharski ◽  
Kira Genise ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Care ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Intervention Group ◽  
Control Group ◽  
Web Based ◽  
Randomized Controlled

BACKGROUND Depression is a common mental disorder with a high social burden and significant impact on suicidality and quality of life. Treatment is often limited to drug therapies because of long waiting times to see psychological therapists face to face, despite several guidelines recommending that psychological treatments should be first-line interventions for mild to moderate depression. OBJECTIVE We aimed to evaluate, among patients on a waitlist to receive secondary mental health care services for depression, how effective coach-guided web-based therapy (<i>The Journal</i>) is, compared with an information-only waitlist control group, in reducing depression symptoms after 12 weeks. METHODS We conducted a randomized controlled trial with 2 parallel arms and a process evaluation, which included interviews with study participants. Participants assigned to the intervention group received 12 weeks of web-based therapy guided by a coach who had a background in social work. Patients in the control group receive a leaflet of mental health resources they could access. The primary outcome measure was a change in depression scores, as measured by the Patient-Health Questionnaire (PHQ-9). RESULTS A total of 95 participants were enrolled (intervention, n=47; control, n=48). The mean change in PHQ-9 scores from baseline to week 12 was −3.6 (SD 6.6) in the intervention group and −3.1 (SD 6.2) in the control group, which was not a statistically significant difference with a two-sided alpha of .05 (t<sub>91</sub>=−0.37; <i>P</i>=.72, 95% CI −3.1 to 2.2). At 12 weeks, participants in the intervention group reported higher health-related quality of life (mean EuroQol 5 dimensions visual analogue scale [EQ-5D-VAS] score 66.8, SD 18.0) compared with the control group (mean EQ-5D VAS score 55.9, SD 19.2; t<sub>84</sub>=−2.73; <i>P</i>=.01). There were no statistically significant differences between the two groups in health service use following their initial consultation with a psychiatrist. The process evaluation showed that participants in the intervention group completed a mean of 5.0 (SD 2.3) lessons in <i>The Journal</i> and 8.8 (SD 3.1) sessions with the coach. Most participants (29/47, 62%) in the intervention group who completed the full dose of the intervention, by finishing 6 or more lessons in <i>The Journal</i>, were more likely to have a clinically important reduction in depressive symptoms at 12 weeks compared with the control group (Χ<sup>2</sup><sub>1</sub>=6.3; <i>P</i>=.01, Φ=0.37). Participants who completed the interviews reported that the role played by the coach was a major factor in adherence to the study intervention. CONCLUSIONS The results demonstrate that the use of guided web-based therapy for the treatment of depression is not more effective than information-only waitlist control. However, it showed that the coach has the potential to increase adherence and engagement with web-based depression treatment protocols. Further research is needed on what makes the coach effective. CLINICALTRIAL ClinicalTrials.gov: NCT02423733; https://clinicaltrials.gov/ct2/show/NCT02423733

scholarly journals A Web-Based Integrated Management Program for Improving Medication Adherence and Quality of Life, and Reducing Readmission in Patients With Atrial Fibrillation: Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Hui-Ling Hsieh ◽  
Chi-Wen Kao ◽  
Shu-Meng Cheng ◽  
Yue-Cune Chang
Keyword(s):  
Medication Adherence ◽  
Integrated Management ◽  
Controlled Trial ◽  
Intervention Group ◽  
Management Program ◽  
Control Group ◽  
Web Based ◽  
Randomized Controlled ◽  
The Web

BACKGROUND Atrial fibrillation (AF) is related to a variety of chronic diseases and life-threatening complications. It is estimated that by 2050, there will be 72 million patients with AF in Asia, of which 2.9 million will have AF-associated stroke. AF has become a major issue for health care systems. OBJECTIVE We aimed to evaluate the effects of a web-based integrated management program on improving coping strategies, medication adherence, and health-related quality of life (HRQoL) in patients with AF, and to detect the effect on decreasing readmission events. METHODS The parallel-group, single-blind, prospective randomized controlled trial recruited patients with AF from a medical center in northern Taiwan and divided them randomly into intervention and control groups. Patients in the intervention group received the web-based integrated management program, whereas those in the control group received usual care. The measurement tools included the Brief Coping Orientation to Problems Experienced (COPE) scale, Medication Adherence Rating Scale (MARS), the three-level version of the EuroQoL five-dimension self-report questionnaire (EQ-5D-3L), and readmission events 2 years after initiating the intervention. Data were collected at 4 instances (baseline, 1 month, 3 months, and 6 months after initiating the intervention), and analyzed with generalized estimating equations (GEEs). RESULTS A total of 231 patients were recruited and allocated into an intervention (n=115) or control (n=116) group. The mean age of participants was 73.08 (SD 11.71) years. Most participants were diagnosed with paroxysmal AF (171/231, 74%), and the most frequent comorbidity was hypertension (162/231, 70.1%). Compared with the control group, the intervention group showed significantly greater improvement in approach coping strategies, medication adherence, and HRQoL at 1, 3, and 6 months (all <i>P</i>&lt;.05). In addition, the intervention group showed significantly fewer readmission events within 2 years (OR 0.406, <i>P</i>=.03), compared with the control group. CONCLUSIONS The web-based integrated management program can significantly improve patients' coping strategy and medication adherence. Therefore, it can empower patients to maintain disease stability, which is a major factor in improving their HRQoL and reducing readmission events within 2 years. CLINICALTRIAL ClinicalTrials.gov NCT04813094; https://clinicaltrials.gov/ct2/show/NCT04813094.

scholarly journals The Efficacy of Fish Oil in Preventing Coronary Heart Disease: A Systematic Review and Meta-Analysis

2020 ◽  
Author(s):  
Gaohong Wu ◽  
Haifeng Geng ◽  
Yue Jiang ◽  
Wei Song ◽  
Xueping Zhu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Fish Oil ◽  
Meta Analysis ◽  
Secondary Outcome ◽  
Control Group ◽  
Randomized Controlled ◽  
Significant Difference

To evaluate the efficacy of fish oil for protection against coronary heart disease (CHD), we conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) evaluating the use of fish oil for protection against CHD. We retrieved relevant articles published from January 1966 to January 2020 by searching the PubMed, EMBASE, Cochrane CENTRAL, and Web of Science databases. RCTs of fish oil in preventing CHD were selected. The study quality was evaluated using the Cochrane Risk of Bias tool with RevMan 5.3 software. The first selection involved 350 citations. After screening and evaluation of suitability, 19 RCTs adjusted for clustering were included in the meta-analysis. All selected manuscripts considered that fish oil was effective in preventing CHD, secondary outcome measures included angina, sepsis and death. Compared with the control group, fish oil may confer significant protection against CHD (odds ratio = 0.84; 95% confidence interval: 0.72–0.98). There was no significant difference in the incidence of secondary outcomes between the observation group and the control group (P &gt; 0.05). The above results show that fish oil plays an important role in reducing CHD and cardiovascular events. However, because of the suboptimal quality of the studies included into the meta-analysis, these results do not justify adding fish oils systematically to the heavy pharmaceutical assortment already recommended in CHD patients.

Effectiveness of a web-based medication adherence tool with patient centered communication: Results of a clustered randomized controlled trial (Preprint)

2019 ◽  
Author(s):  
Jan van Lieshout ◽  
Joyca Lacroix ◽  
Aart van Halteren ◽  
Martina Teichert
Keyword(s):  
Randomized Controlled Trial ◽  
Medication Adherence ◽  
Controlled Trial ◽  
Intervention Group ◽  
Control Group ◽  
Community Pharmacies ◽  
Web Based ◽  
Randomized Controlled ◽  
Tailored Interventions ◽  
Increased Risk

BACKGROUND Growing numbers of people use medication for chronic conditions; non-adherence is common, leading to poor disease control. A newly developed web-based tool to identify an increased risk for non-adherence with related potential individual barriers might facilitate tailored interventions and improve adherence. OBJECTIVE To assess the effectiveness of the newly developed tool to improve medication adherence. METHODS A cluster randomized controlled trial assessed the effectiveness of this adherence tool in patients initiating cardiovascular or oral blood glucose lowering medication. Participants were included in community pharmacies. They completed an online questionnaire comprising an assessments of their risk for medication non-adherence and subsequently of barriers to adherence. In pharmacies belonging to the intervention group, individual barriers displayed in a graphical profile on a tablet were discussed by pharmacists and patients at high non-adherence risk in face to face meetings and shared with their general practitioners and practice nurses. Tailored interventions were initiated by the healthcare providers. Barriers of control patients were not presented or discussed and these patients received usual care. The primary outcome was the difference in medication adherence at 8 months follow-up between patients with an increased non-adherence risk from intervention and control group, calculated from dispensing data. RESULTS Data from 492 participants in 15 community pharmacies were available for analyses (intervention 253, 7 pharmacies; control 239, 8 pharmacies). The intervention had no effect on medication adherence (-0.01; 95%CI -0.59 – 0.57; P= .96), neither in the post hoc per protocol analysis (0.19; 95%CI -0.50 – 0.89; P=.58). CONCLUSIONS This study showed no effectiveness of a risk stratification and tailored intervention addressing personal barriers for medication adherence. Various potential explanations for lack of effect were identified. These explanations relate for instance to high medication adherence in the control group, study power and fidelity. Process evaluation should elicit possible improvements and inform the redesign of intervention and implementation. CLINICALTRIAL The Netherlands National Trial Register: NTR5186. Date: May 18, 2015 (http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5186)

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