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Adherence to COPD treatment plays a crucial role in patient health outcomes. Understanding the correlation between treatment adherence and health status is vital for clinicians to develop effective disease management strategies. This study aimed to examine treatment adherence and its impact on the health status of COPD patients, specifically focusing on the effects of adhering to inhaled medications and breathing exercises. A cross-sectional study involving 420 outpatients diagnosed with COPD was conducted. The study encompassed administering questionnaires, observing patient breathing exercises, and measuring ventilatory function. Results showed that only 36.9% of participants adhered to treatment, with 44.7% following inhaler protocols and 36.9% regularly engaging in breathing exercises. The patients who were non-adherent exhibited a 0.3-fold increase in disease severity compared to the adherent group (p = .002). These findings suggest that consistent adherence to treatment, including inhaled medications and breathing exercises, may positively affect health status by reducing disease severity and airway obstruction in COPD patients. To address this, we recommend that home care clinicians implement a post-discharge assessment and intervention program. This program should focus on educating patients about the importance of treatment adherence and promoting behaviors that reinforce adherence to prescribed therapies.

BACKGROUND: Digital health care apps, including digital therapeutics, have the potential to increase accessibility and improve patient engagement by overcoming the limitations of traditional facility-based medical treatments. However, there are no established tools capable of quantitatively measuring long-term engagement at present.
OBJECTIVE: This study aimed to evaluate an existing engagement index (EI) in a commercial health management app for long-term use and compare it with a newly developed EI.
METHODS: Participants were recruited from cancer survivors enrolled in a randomized controlled trial that evaluated the impact of mobile health apps on recovery. Of these patients, 240 were included in the study and randomly assigned to the Noom app (Noom Inc). The newly developed EI was compared with the existing EI, and a long-term use analysis was conducted. Furthermore, the new EI was evaluated based on adapted measurements from the Web Matrix Visitor Index, focusing on click depth, recency, and loyalty indices.
RESULTS: The newly developed EI model outperformed the existing EI model in terms of predicting EI of a 6- to 9-month period based on the EI of a 3- to 6-month period. The existing model had a mean squared error of 0.096, a root mean squared error of 0.310, and an R2 of 0.053. Meanwhile, the newly developed EI models showed improved performance, with the best one achieving a mean squared error of 0.025, root mean squared error of 0.157, and R2 of 0.610. The existing EI exhibited significant associations: the click depth index (hazard ratio [HR] 0.49, 95% CI 0.29-0.84; P<.001) and loyalty index (HR 0.17, 95% CI 0.09-0.31; P<.001) were significantly associated with improved survival, whereas the recency index exhibited no significant association (HR 1.30, 95% CI 1.70-2.42; P=.41). Among the new EI models, the EI with a menu combination of menus available in the app\'s free version yielded the most promising result. Furthermore, it exhibited significant associations with the loyalty index (HR 0.32, 95% CI 0.16-0.62; P<.001) and the recency index (HR 0.47, 95% CI 0.30-0.75; P<.001).
CONCLUSIONS: The newly developed EI model outperformed the existing model in terms of the prediction of long-term user engagement and compliance in a mobile health app context. We emphasized the importance of log data and suggested avenues for future research to address the subjectivity of the EI and incorporate a broader range of indices for comprehensive evaluation.

BACKGROUND: In Sub-Saharan Africa (SSA), there is a noticeable shift from infectious diseases to chronic non-communicable diseases (CNCDs) based on recent studies. However, other studies suggest that social support can significantly improve self-care, increase knowledge of disease symptoms, and ultimately increase overall well-being in patients with CNCDs. In this study, we investigated the influence of perceived social support on treatment adherence among adults living with CNCDs in the Ho Municipality.
METHODS: This was a health facility-based cross-sectional study among 432 adults living with cancer, diabetes, chronic kidney disease (CKD), stroke, and hypertension in the Ho Municipality of the Volta Region, Ghana. We adopted the Multi-dimensional Scale of Perceived Social Support (MSPSS), Medication Adherence Rating Scale and independent items to collect data. Logistic regression models were used to analyze the data with STATA v17.0 at 95% Confidence Intervals with statistical significance set at p<0.05.
RESULTS: Majority of the participants (62%) reported high levels of perceived social support. While friends were the main source of support (69.4%), significant others provided the least support (45.4%). Among the dimensions of treatment adherence, participants demonstrated the highest adherence to reviews/check-ups (98.8%), while medication adherence had the highest level of non-adherence (38%). We did not find a significant association between perceived social support and overall treatment adherence, except for individuals with low perceived social support from friends (aOR = 8.58, 95% CI = 4.21,17.52), who were more likely to exhibit high adherence to behavioural and lifestyle recommendations.
CONCLUSIONS: While the majority of respondents reported high perceived social support, there was no significant link between social support and overall treatment adherence. However, individuals with low support from friends showed a notably increased adherence to behavioural and lifestyle recommendations. This underscores the nuanced impact of social support on specific aspects of adherence, highlighting the need for targeted interventions tailored to individual support networks.

BACKGROUND: Although behavioral interventions show some promise for reducing stimulant use and achieving durable viral suppression in sexual minority men (SMM) with HIV, scalable mHealth applications are needed to optimize their reach and cost-effectiveness.
METHODS: Supporting Treatment Adherence for Resilience and Thriving (START) is a randomized controlled trial (RCT) testing the efficacy and cost-effectiveness of a mHealth application that integrates evidence-based positive affect regulation skills with self-monitoring of adherence and mood. The primary outcome is detectable HIV viral load (i.e., > 300 copies/mL) from self-collected dried blood spot (DBS) specimens at 6 months. Secondary outcomes include detectable DBS viral load at 12 months, self-reported stimulant use severity, anti-retroviral therapy (ART) adherence, and positive affect over 12 months. A national sample of up to 250 SMM with HIV who screen positive for stimulant use disorder and reporting suboptimal ART adherence is being recruited via social networking applications through April of 2024. After providing informed consent, participants complete a run-in period (i.e., waiting period) including two baseline assessments with self-report measures and a self-collected DBS sample. Those who complete the run-in period are randomized to either the START mHealth application or access to a website with referrals to HIV care and substance use disorder treatment resources. Participants provide DBS samples at baseline, 6, and 12 months to measure HIV viral load as well as complete self-report measures for secondary outcomes at quarterly follow-up assessments over 12 months.
CONCLUSIONS: To date, we have paid $117,500 to advertise START on social networking applications and reached 1,970 eligible participants ($59.77 per eligible participant). Although we identified this large national sample of potentially eligible SMM with HIV who screen positive for a stimulant use disorder and report suboptimal ART adherence, only one-in-four have enrolled in the RCT. The run-in period has proven to be crucial for maintaining scientific rigor and reproducibility of this RCT, such that only half of consented participants complete the required study enrollment activities and attended a randomization visit. Taken together, findings will guide adequate resource allocation to achieve randomization targets in future mHealth research SMM with HIV who use stimulants.
BACKGROUND: This protocol was registered on clinicaltrials.gov (NCT05140876) on December 2, 2021.

BACKGROUND: Management of type 2 diabetes (T2D) as a chronic disease requires treatment adherence such as controlling the blood glucose level and adopting a healthy lifestyle. The present study aimed to develop and psychometrically evaluate a questionnaire based on the Pender\'s Health Promotion Model (HPM) to measure treatment adherence and the associated factors among T2D patients.
METHODS: The present study was conducted in qualitative and the quantitative phases between March 2022 and March 2023. The participants were T2D patients visiting Shahid Mohammadi hospital Diabetes Clinic in Bandar Abbas in the south of Iran. The first draft of items was extracted from the qualitative phase. The present study used interviews with T2D patients, item construction, validity and reliability evaluation of the instrument, and the relevant statistical analyses. It emphasized the significance of content, face, and construct validity, along with reliability testing using Cronbach\'s alpha and test-retest method. Data were analyzed using SPSS software, V16 and AMOS, V23.
RESULTS: A 97-item questionnaire was developed through the qualitative phase and, after content validity, it was reduced to 86 items. Five items were removed in face validation, and after the test-retest method, 79 items were retained. The confirmatory factors analysis confirmed a 65-item model with appropriate fitness of data. Cronbach\'s alpha coefficient showed an acceptable reliability of the diabetes treatment adherence questionnaire (α = 0.92).
CONCLUSIONS: The questionnaire developed based on the HPM model provides a standard and comprehensive measurement of the degree of adherence to treatment and the associated factors among Iranian T2D patients. This is especially valuable in the Iranian healthcare context, where effective management of chronic diseases such as diabetes is of a top priority. Questionnaires can help identify barriers and facilitators of treatment adherence to inform systematic and goal-oriented interventions. The proposed questionnaire had good psychometric properties, and can be used as a valid and practical instrument to measure the factors related to treatment adherence behaviors.

BACKGROUND: Racial disparities in sleep are well-documented. However, evidence-based options for addressing these disparities are lacking in cancer populations. To inform future research on sleep interventions, this study aims to understand racial differences in treatment responses to acupuncture and cognitive behavioral therapy for insomnia (CBT-I) among Black and White cancer survivors.
METHODS: We conducted a secondary analysis of a comparative effectiveness trial evaluating acupuncture versus CBT-I for insomnia in cancer survivors. We compared insomnia severity, sleep characteristics, and co-morbid symptoms, as well as treatment attitudes, adherence, and responses among Black and White participants.
RESULTS: Among 156 cancer survivors (28% Black), Black survivors reported poorer sleep quality, longer sleep onset latency, and higher pain at baseline, compared to White survivors (all p < 0.05). Black survivors demonstrated lower adherence to CBT-I than White survivors (61.5% vs. 88.5%, p = 0.006), but their treatment response to CBT-I was similar to white survivors. Black survivors had similar adherence to acupuncture as white survivors (82.3% vs. 93.4%, p = 0.16), but they had greater reduction in insomnia severity with acupuncture (-3.0 points, 95% CI -5.4 to 0.4, p = 0.02).
CONCLUSIONS: This study identified racial differences in sleep characteristics, as well as treatment adherence and responses to CBT-I and acupuncture. To address racial disparities in sleep health, future research should focus on improving CBT-I adherence and confirming the effectiveness of acupuncture in Black cancer survivors.

OBJECTIVE: The prevalence of celiac disease (CeD) is increasing, yet it is still underdiagnosed, in part because of its heterogeneous presentation. Diagnostic criteria are evolving and management with strict adherence to a gluten-free diet is challenging for many. We aimed to characterize the clinical presentation of CeD among a large multicenter cohort of pediatric patients and to identify factors associated with gluten-free diet adherence.
METHODS: Patients with CeD aged 0-18 years were recruited from 11 United States health centers. Parents completed surveys about gluten-free diet adherence and patient electronic health records were reviewed. Logistic regression analyses were performed to identify risk factors associated with gluten exposure.
RESULTS: Charts were reviewed for 460 children with a median age of 6.4 years. Abdominal pain was reported in 57% of the cohort, but diverse symptoms were identified. Parent surveys were completed for 455 participants. Sixty-five (14%) participants were at high risk for gluten exposure based on parental reports of weekly or daily gluten exposure or eating gluten by choice in the past year. Participants under the age of 5 years had a lower risk of gluten exposure, while participants without repeat serology testing 18 months after initial diagnosis were at higher risk of gluten exposure.
CONCLUSIONS: In a large, multicenter cohort of pediatric CeD patients, clinical presentation is highly variable, necessitating a high index of suspicion to make a diagnosis. Parent surveys indicate that 14% of patients are at high risk of gluten exposure, with patient age and lack of close follow-up associated with gluten-free diet adherence.

Tuberculosis and Mental Illness (TB-MI) often co-occur with a varying range of interactions of both. The rising incidence of both in Low- and Middle-income countries (LMICs) is an emergent public health problem with accompanying higher morbidity and complications in management. The objective of this review is to gather insights into how healthcare providers can enhance their support for patients with TB-MI, to improve treatment adherence and overall health outcomes. Addressing the complexities of TB-MI treatment requires a multi-component approach that includes psychological interventions, monitoring the course of mental health comorbidities, patient education, looking into barriers to adherence, and involving healthcare providers. These coupled with increased patient awareness, integrated care model, patient education and empowerment, simplified treatment approaches, social support programs, and sensitizing healthcare providers can decrease the burden on the healthcare system while improving patient outcomes.

UNASSIGNED: Chronic respiratory failure often occurs in myotonic dystrophy type 1 (DM1) and can be treated with noninvasive home mechanical ventilation (HMV). Treatment adherence with HMV is often suboptimal in patients with DM1, but the reasons for that are not well understood.
UNASSIGNED: The aim of this exploratory study was to gain insight in the prevalence of mild cognitive impairment, affective symptoms, and apathy and to investigate their role in HMV treatment adherence in DM1.
UNASSIGNED: The Montreal Cognitive Assessment (MoCA), the Hospital Anxiety and Depression Scale (HADS), and the Apathy Evaluation Scale (AES) were used to assess cognition, affective symptoms, and apathy in DM1 patients that use HMV. Patients with low treatment adherence (average daily use HMV <5 h or <80% of the days) were compared with patients with high treatment adherence (average daily use of HMV≥5 h and ≥80% of the days).
UNASSIGNED: Sixty patients were included. Abnormal scores were found in 40% of the total group for the MoCA, in 72-77% for the AES, and in 18% for HADS depression. There was no difference between the high treatment adherence group (n = 39) and the low treatment adherence group (n = 21) for the MoCA, AES, and HADS depression. The HADS anxiety was abnormal in 30% of the total group, and was significantly higher in the low treatment adherence group (p = 0.012). Logistic regression analysis revealed that a higher age and a higher BMI were associated with a greater chance of high treatment adherence.
UNASSIGNED: This exploratory study showed that cognitive impairment and apathy are frequently present in DM1 patients that use HMV, but they are not associated with treatment adherence. Feelings of anxiety were associated with low treatment adherence. Higher age and higher BMI were associated with high treatment adherence with HMV.