Weekly pain trajectories among people with knee or hip osteoarthritis participating in a digitally delivered first-line exercise and education treatment

OBJECTIVE

Digital self-management programs are increasingly used in the management of osteoarthritis (OA). Little is known about heterogeneous patterns in response to these programs. We describe weekly pain trajectories of people with knee or hip OA over up to 52-week participation in a digital self-management program.

METHODS

Observational cohort study among participants enrolled between January 2019 and September 2021 who participated at least 4 and up to 52 weeks in the program (n = 16 274). We measured pain using Numeric Rating Scale (NRS 0-10) and applied latent class growth analysis to identify classes with similar trajectories. Associations between baseline characteristics and trajectory classes were examined using multinomial logistic regression and dominance analysis.

RESULTS

We identified 4 pain trajectory classes: "mild-largely improved" (30%), "low moderate-largely improved" (34%), "upper moderate-improved" (24%), and "severe-persistent" (12%). For classes with decreasing pain, the most pain reduction occurred during first 20 weeks and was stable thereafter. Male sex, older age, lower body mass index (BMI), better physical function, lower activity impairment, less anxiety/depression, higher education, knee OA, no walking difficulties, no wish for surgery and higher physical activity, all measured at enrolment, were associated with greater probabilities of membership in "mild-largely improved" class than other classes. Dominance analysis suggested that activity impairment followed by wish for surgery and walking difficulties were the most important predictors of trajectory class membership.

CONCLUSIONS

Our results highlight the importance of reaching people with OA for first-line treatment prior to developing severe pain, poor health status and a wish for surgery.

Efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT) in Individuals With Chronic Pain and Opioid Use Disorder: Protocol for a Randomized Clinical Trial of a Digital Cognitive Behavioral Treatment

BACKGROUND

Chronic pain is common among individuals with opioid use disorder (OUD) who are maintained on medications for OUD (MOUD; eg, buprenorphine or methadone). Chronic pain is associated with worse retention and higher levels of substance use. Treatment of individuals with chronic pain receiving MOUD can be challenging due to their increased clinical complexity. Given the acute and growing nature of the opioid crisis, MOUD is increasingly offered in a wide range of settings, where high-quality, clinician-delivered, empirically validated behavioral treatment for chronic pain may not be available. Therefore, digital treatments that support patient self-management of chronic pain and OUD have the potential for wider implementation to fill this gap.

OBJECTIVE

This study aims to evaluate the efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT), an interactive digital treatment program with asynchronous coach feedback, compared to treatment as usual (TAU) in individuals with chronic pain and OUD receiving MOUD.

METHODS

Adult participants (n=160) receiving MOUD and reporting bothersome or high-impact chronic pain will be recruited from outpatient opioid treatment programs in Connecticut (United States) and randomized 1:1 to either IMPACT+TAU or TAU only. Participants randomized to IMPACT+TAU will complete an interactive digital treatment that includes 9 modules promoting training in pain and addiction coping skills and a progressive walking program. The program is augmented with a weekly personalized voice message from a trained coach based on daily participant-reported pain intensity and interference, craving to use opioids, sleep quality, daily steps, pain self-efficacy, MOUD adherence, and engagement with IMPACT collected through digital surveys. Outcomes will be assessed at 3, 6, and 9 months post randomization. The primary outcome is MOUD retention at 3 months post randomization (ie, post treatment). Secondary outcomes include pain interference, physical functioning, MOUD adherence, substance use, craving, pain intensity, sleep disturbance, pain catastrophizing, and pain self-efficacy. Semistructured qualitative interviews with study participants (n=34) randomized to IMPACT (completers and noncompleters) will be conducted to evaluate the usability and quality of the program and its outcomes.

RESULTS

The study has received institutional review board approval and began recruitment at 1 site in July 2022. Recruitment at a second site started in January 2023, with a third and final site anticipated to begin recruitment in January 2024. Data collection is expected to continue through June 2025.

CONCLUSIONS

Establishing efficacy for a digital treatment for addiction and chronic pain that can be integrated into MOUD clinics will provide options for individuals with OUD, which reduce barriers to behavioral treatment. Participant feedback on the intervention will inform updates or modifications to improve engagement and efficacy.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05204576; https://clinicaltrials.gov/ct2/show/NCT05204576.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/54342.

Exploring the feasibility and acceptance of huddinge online prolonged exposure therapy (HOPE) for severe and complex PTSD

Background: Trauma-focused cognitive behavioural therapy such as prolonged exposure is considered firsthand choice for treatment of posttraumatic stress disorder (PTSD) but is seldom available in regular care. Digital therapy is proposed to bridge this gap, but its effectiveness for severe and complex PTSD is uncertain. The primary objective of the current study was to examine the feasibility, acceptability, and preliminary effects of digital therapist-guided prolonged exposure (Huddinge Online Prolonged Exposure; HOPE).Method: Thirty participants with moderate to severe PTSD, with the majority self-reporting complex PTSD symptoms, received HOPE over a ten-week period. Eighty percent of participants had been diagnosed with other psychiatric comorbidity by a mental health professional. Primary outcome was the feasibility and acceptability of treatment. Participants were repeatedly assessed using clinician- and self-rated outcome measures at baseline, during the treatment period, post-treatment, and at 1-month and 6-month follow-ups to estimate preliminary treatment effects. The Clinician Administered PTSD Scale version 5 (CAPS-5), administered by independent assessors, evaluated PTSD symptom severity.Results: HOPE proved feasible and effective, delivering evidence-based treatment content in a psychiatric outpatient setting with reduced therapist time. The treatment was well-tolerated, with no severe adverse events and a 17% dropout rate. Sixty-four percent completed the exposure-based portion of the treatment, and overall satisfaction measured by the Client Satisfaction Questionnaire was moderate. Furthermore, significant reductions in PTSD symptoms as assessed with the CAPS-5 (Cohen's d = 1.30 [95% CI -1.79 to -0.82]) at the primary endpoint 1 month which were sustained at the 6-month follow up.Conclusion: Altogether, this study indicate feasibility of treating severe and complex PTSD through a digital PE intervention, thereby building upon and extending previous research findings. Large-scale controlled trials are needed to further validate the specific effect and long-term benefits of HOPE.Trial registration: ClinicalTrials.gov identifier: NCT05560854.

Patient Satisfaction With a Coach-Guided, Technology-Based Mental Health Treatment: Qualitative Interview Study and Theme Analysis

BACKGROUND

Technology-based mental health interventions address barriers rural veterans face in accessing care, including provider scarcity and distance from the hospital or clinic. webSTAIR is a 10-module, web-based treatment based on Skills Training in Affective and Interpersonal Regulation, designed to treat posttraumatic stress disorder and depression in individuals exposed to trauma. Previous work has demonstrated that webSTAIR is acceptable to participants and effective at reducing symptoms of posttraumatic stress disorder and depression when delivered synchronously or asynchronously (over 5 or 10 sessions).

OBJECTIVE

This study explored factors that lead to greater patient satisfaction with webSTAIR, a web-based, coach-guided intervention.

METHODS

We analyzed qualitative interview data to identify themes related to patient satisfaction with webSTAIR delivered with synchronous video-based coaching.

RESULTS

Four themes emerged from the data: (1) coaching provides accountability and support, (2) self-pacing offers value that meets individual needs, (3) participants like the comfort and convenience of the web-based format, and (4) technical issues were common but not insurmountable.

CONCLUSIONS

We conclude that participants valued the accountability, flexibility, and convenience of tech-based interventions with video-delivered coaching.

The connection still matters: Therapeutic alliance with digital treatment for alcohol use disorder

BACKGROUND

A strong cooperative bond between the patient and provider ("therapeutic alliance") is robustly associated with better alcohol use disorder (AUD) treatment outcomes. Although digital treatments for AUD have significant potential, the function of the alliance during digital programs is unclear. We compared the validity of patient-reported measures of the alliance with a digital treatment ("digital alliance") for AUD and the alliance with their clinician ("clinician alliance").

METHODS

We used data from an 8-week, randomized clinical trial of a computerized cognitive behavioral therapy program (CBT4CBT) during outpatient AUD treatment. Treatment conditions included CBT4CBT with minimal clinical monitoring (CBT4CBT + monitor) or with treatment as usual (CBT4CBT + TAU). The digital alliance and clinician alliance were measured with similar versions of the Working Alliance Inventory (WAI). The WAI ratings were completed at the 2nd and 6th treatment sessions. A timeline followback calendar assessed daily alcohol use. Bayesian multilevel models compared the strength of the alliances and tested their associations with future alcohol use.

RESULTS

Data from 43 participants were included (age M = 44; 65% male; 51% Black, 40% White, 9% other; 14% Hispanic). The digital alliance ratings had similar internal reliability as the clinician alliance ratings (ω's > 0.90). Differences between digital alliance and clinician alliance ratings were negligible in both treatment conditions (BF01  = 9 and 31). During treatment, within-person increases in the digital alliance and the clinician alliance predicted modest decreases in future drinking to a similar degree (BF01  = 15). Alliance ratings were not associated with future drinking when posttreatment follow-up drinking data were included (BF10  < 3).

CONCLUSIONS

The digital alliance with CBT4CBT was comparable to the clinician alliance. The digital alliance and clinician alliance had similar, albeit very small, associations with abstinence during treatment. Future research can explore how the digital alliance develops to improve AUD treatment efficacy.

On the Efficacy of a CBT-I-Based Online Program for Sleep Problems: A Randomized Controlled Trial

There is an urgent need for easily accessible treatment options for sleep problems to reduce the current treatment gap in receiving cognitive behavioral therapy for insomnia (CBT-I). Using a randomized controlled trial, we evaluated the efficacy of a CBT-I-based online program on sleep. Fifty-three volunteers (21-71 years; MAge = 44.6 ± 12.5; 27 female) suffering from impaired sleep were randomly allocated either to the experimental group (EG, n = 27) or to an active control group (CG, n = 26). The EG participated in a 6-week CBT-I-based online program, while the CG received psychoeducation and sleep hygiene instructions. Sleep was assessed both objectively via ambulatory polysomnography (PSG) as well as subjectively via questionnaires at three time points (baseline, pre- and post-intervention). A one-month follow-up assessment was performed using questionnaires. The EG showed small but reliable improvements from pre- to post-intervention in PSG-derived wake after sleep onset (from 58.6 min to 42.5 min; p < 0.05) and sleep efficiency (from 86.0% to 89.2%; p < 0.05). Furthermore, subjective sleep quality (assessed via Pittsburgh Sleep Quality Index) improved significantly during intervention (p = 0.011) and follow-up (p = 0.015) in the EG alone. The Insomnia Severity Index decreased from pre- to post-intervention in both groups (EG: p = 0.003, CG: p = 0.008), while it further improved during follow-up (p = 0.035) in the EG alone. We show that a CBT-I-based online program can improve sleep not only subjectively but also objectively and can be a viable alternative when face-to-face interventions are not available.

Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis

BACKGROUND

Acceptability of digital mental health interventions is a significant predictor of treatment-seeking behavior and engagement. However, acceptability has been conceptualized and operationalized in various ways, which decreases measurement precision and leads to heterogeneous conclusions about acceptability. Standardized self-report measures of acceptability have been developed, which have the potential to ameliorate these problems, but none have demonstrated evidence for validation among Black communities, which limits our understanding of attitudes toward these interventions among racially minoritized groups with well-documented barriers to mental health treatment.

OBJECTIVE

This study aims to examine the psychometric validity and reliability of one of the first and most widely used measures of acceptability, the Attitudes Towards Psychological Online Interventions Questionnaire, among a Black American sample.

METHODS

Participants (N=254) were recruited from a large southeastern university and the surrounding metropolitan area and completed the self-report measure via a web-based survey. A confirmatory factor analysis using mean and variance adjusted weighted least squares estimation was conducted to examine the validity of the underlying hierarchical 4-factor structure proposed by the original authors of the scale. An alternative, hierarchical 2-factor structure model and bifactor model were examined for comparative fit.

RESULTS

The findings indicated that the bifactor model demonstrated a superior fit (comparative fit index=0.96, Tucker-Lewis index=0.94, standardized root mean squared residual=0.03, and root mean square error of approximation=0.09) compared with both 2- and 4-factor hierarchical structure models.

CONCLUSIONS

The findings suggest that, within a Black American sample, there may be greater utility in interpreting the Attitudes Towards Psychological Online Interventions Questionnaire subscales as attitudinal constructs that are distinct from the global acceptability factor. The theoretical and practical implications for culturally responsive measurements were explored.

A comparison of sleep restriction and sleep compression on objective measures of sleep: A sub-sample from a large randomised controlled trial

Sleep restriction therapy is a central component of cognitive behavioural therapy for insomnia, but can lead to excessive sleepiness, which may impede treatment adherence. Sleep compression therapy has been suggested as a possibly gentler alternative. The aim of this study was to compare the effects of sleep restriction therapy and sleep compression therapy on objective measures of sleep, with a focus on magnitude and timing of effects. From a larger study of participants with insomnia, a sub-sample of 36 underwent polysomnographic recordings, before being randomised to either sleep restriction (n = 19) or sleep compression (n = 17) and receiving online treatment for 10 weeks. Assessments with polysomnography were also carried out after 2, 5, and 10 weeks of treatment. Data were analysed with multilevel linear mixed effect modelling. As per treatment instructions, participants in sleep restriction initially spent shorter time in bed compared with sleep compression. Participants in sleep restriction also showed an initial decrease of total sleep time, which was not seen in the sleep compression group. Both treatments led to improvements in sleep continuity variables, with a tendency for the improvements to come earlier during treatment in sleep restriction. No substantial differences were found between the two treatments 10 weeks after the treatment start. The results indicate that homeostatic sleep pressure may not be as important as a mechanism in sleep compression therapy as in sleep restriction therapy, and an investigation of other mechanisms is needed. In conclusion, the treatments led to similar changes in objective sleep at a somewhat different pace, and possibly through different mechanisms.

Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression

BACKGROUND

Digital strategies are innovative approaches to the prevention of skin cancer, but the attrition following this kind of intervention needs to be analyzed.

OBJECTIVE

The aim of this paper is to assess the dropouts from studies focused on digital strategies for the prevention of skin cancer.

METHODS

We conducted this systematic review with meta-analyses and metaregression according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statements. Search terms for skin cancer, digital strategies, and prevention were combined to search PubMed, Scopus, Web of Science, CINAHL, and Cochrane Library from inception until July 2022. Randomized clinical trials that reported dropouts of participants and compared digital strategies with other interventions to prevent skin cancer in healthy or disease-free participants were included. Two independent reviewers extracted data for analysis. The Revised Cochrane Collaboration Bias tool was employed. We calculated the pooled dropout rate of participants through a meta-analysis of proportions and examined whether dropout was more or less frequent in digital interventions against comparators via an odds ratio (OR) meta-analysis. Data were pooled using a random-effects model. Subgroup meta-analyses were conducted in a meta-analysis of proportions and OR meta-analysis to assess the dropout events when data were sorted by digital interventions or control comparator. A univariate metaregression based on a random-effects model assessed possible moderators of dropout. Participants' dropout rates as pooled proportions were calculated for all groups combined, and the digital and comparator groups separately. OR>1 indicated higher dropouts for digital-based interventions. Metaregressions were performed for age, sex, length of intervention, and sample size.

RESULTS

A total of 17 studies were included. The overall pooled dropout rate was 9.5% (95% CI 5.0-17.5). The subgroup meta-analysis of proportions revealed a dropout rate of 11.6% for digital strategies (95% CI 6.8-19.0) and 10.0% for comparators (95% CI 5.5-17.7). A trend of higher dropout rates for digital strategies was observed in the overall (OR 1.16, 95% CI 0.98-1.36) and subgroup OR meta-analysis, but no significant differences were found between the groups. None of the covariates moderated the effect size in the univariate metaregression.

CONCLUSIONS

Digital strategies had a higher dropout rate compared to other prevention interventions, but the difference was not significant. Standardization is needed regarding reporting the number of and reasons for dropouts.

TRIAL REGISTRATION

International Prospective Register of Systematic Reviews (PROSPERO) CRD42022329669; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=329669.

A 6-Week Web-Based Osteoarthritis Treatment Program: Observational Quasi-Experimental Study

Background

Osteoarthritis (OA) is one of the most common causes of disability, with a burden of disease estimated to increase over time. Joint Academy, a Web-based treatment for individuals with clinically verified knee or hip OA, was developed to increase access to and facilitate implementation of evidence-based nonsurgical OA treatment in accordance with international guidelines.

Objective

The primary aim of this study was to evaluate joint pain, physical function, and health-related quality of life (HRQoL) over time of users of the Joint Academy program.

Methods

We enrolled 350 patients who were recruited online and completed the initial health journal in the 6-week program. We asked patients to complete an eHealth journal and e-questionnaires, including pain level assessed by a numerical rating scale, as well as a physical function evaluation using the 30-second chair-stand test. In addition, we assessed HRQoL using the 3-level version of the EQ-5D. We also asked participants whether they experienced difficulty walking and were afraid of physical activity due to their OA and their desire for surgery. We collected descriptive data and compared pre- versus postintervention data. As a reference group, we included results retrieved from the Swedish well-structured face-to-face self-supportive OA management program Better Management of Patients With Osteoarthritis (BOA).

Results

Of the study cohort (n=350 patients; 239 women, mean age 62 years, mean body mass index 27 kg/m2), 71.4% (n=250) completed the program and were included in the study. We used the questionnaires to secure a clinical diagnosis of OA and to establish baseline study values. After 6 weeks of treatment, the change in mean numerical rating scale was larger than the minimal clinical difference (5.4 vs 4.1; P<.001), while physical function increased (from 10.88 to 13.14; P<.001). The percentage of participants having walking difficulties decreased from 81.7% (196/240) to 62.1% (149/240; P<.001), those afraid of being physically active decreased from 22.1% (53/240) to 6.7% (16/240; P<.001), and 22.0% (55/250) reported that they had reduced the amount of OA-related medication. After 6 weeks, 24% (13/54) of those desiring surgery at the start of the program were no longer interested. In addition, the comparison between Joint Academy and the BOA program showed similar levels of pain at 3 months, but suggested greater reduction with the use of Joint Academy due to a higher level of pain at baseline.

Conclusions

The reported data suggest that participation in Joint Academy is associated with a clinically relevant decrease in pain and an increase in physical function and HRQoL, as well as a decreasing fear of physical activity. This innovative Web-based OA treatment is scalable, is population specific, and can reach a large number of individuals with impaired joints who have Internet access.