The Effect of Treatment Adherence on Health Status of Outpatients with Chronic Obstructive Pulmonary Disease.

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.

Influence of perceived social support and other factors on treatment adherence among adults living with chronic non-communicable diseases in the Ho Municipality of Ghana: A health facility-based cross-sectional study.

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. CONCLUSION: 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.

Treatment adherence and wellness, nutrition, and physical activity outcomes of diabetic patients with comorbid depression during the 18-month follow-up of the TELE-DD study.

BACKGROUND: A good adherence to pharmacological treatment in chronic pathologies such as type 2 diabetes and clinical depression is essential to improve illness prognosis. AIMS: The main goal of the TELE-DD study was to analyze the effectiveness of a telephone, psychoeducational, and individualized intervention carried out by nurses in patients with type 2 diabetes mellitus and comorbid clinical depression with prior nonadherence to pharmacological treatment. In this paper, we describe and analyze secondary outcomes of the trial intervention. METHODS: A prospective cohort study was used to assess the effectiveness of a telephonic intervention (IG) in n = 191 participants with a similar control group (CG). Adherence to pharmacological treatment was assessed using the patient's self-perceived adherence questionnaire. In addition to clinical (HbAc1, HDL, LDL), physical (body mass index, blood pressure) and psychological measures (Patient Health Questionnaire-9 affective state), and psychosocial distress due to Diabetes Distress Scale Questionnaire at 3, 6, 12, and 18 months of follow-up were also analyzed. RESULTS: The proportion of "Total Adherents" in the IG was higher throughout the study. This was particularly true at month 18 of the intervention. Self-perceived adherence rates increased by 27.1% in the IG and by 1.1% in the CG. Results of clinical and physical measures were higher in the IG than in the CG at month 18 of the intervention. LINKING EVIDENCE TO ACTION: The interview based on positive reinforcement as well as individualized attention and flexibility in making telephone calls and dissemination of the intervention in the media closest to the patients were key to achieving good participation and collaboration as well as continuity in adherence to treatment and self-care.

User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.

BACKGROUND: There are numerous mobile health (mHealth) interventions for treatment adherence and self-management; yet, little is known about user engagement or interaction with these technologies. OBJECTIVE: This systematic review aimed to answer the following questions: (1) How is user engagement defined and measured in studies of mHealth interventions to promote adherence to prescribed medical or health regimens or self-management among people living with a health condition? (2) To what degree are patients engaging with these mHealth interventions? (3) What is the association between user engagement with mHealth interventions and adherence or self-management outcomes? (4) How often is user engagement a research end point? METHODS: Scientific database (Ovid MEDLINE, Embase, Web of Science, PsycINFO, and CINAHL) search results (2016-2021) were screened for inclusion and exclusion criteria. Data were extracted in a standardized electronic form. No risk-of-bias assessment was conducted because this review aimed to characterize user engagement measurement rather than certainty in primary study results. The results were synthesized descriptively and thematically. RESULTS: A total of 292 studies were included for data extraction. The median number of participants per study was 77 (IQR 34-164). Most of the mHealth interventions were evaluated in nonrandomized studies (157/292, 53.8%), involved people with diabetes (51/292, 17.5%), targeted medication adherence (98/292, 33.6%), and comprised apps (220/292, 75.3%). The principal findings were as follows: (1) >60 unique terms were used to define user engagement; "use" (102/292, 34.9%) and "engagement" (94/292, 32.2%) were the most common; (2) a total of 11 distinct user engagement measurement approaches were identified; the use of objective user log-in data from an app or web portal (160/292, 54.8%) was the most common; (3) although engagement was inconsistently evaluated, most of the studies (99/195, 50.8%) reported >1 level of engagement due to the use of multiple measurement methods or analyses, decreased engagement across time (76/99, 77%), and results and conclusions suggesting that higher engagement was associated with positive adherence or self-management (60/103, 58.3%); and (4) user engagement was a research end point in only 19.2% (56/292) of the studies. CONCLUSIONS: The results revealed major limitations in the literature reviewed, including significant variability in how user engagement is defined, a tendency to rely on user log-in data over other measurements, and critical gaps in how user engagement is evaluated (infrequently evaluated over time or in relation to adherence or self-management outcomes and rarely considered a research end point). Recommendations are outlined in response to our findings with the goal of improving research rigor in this area. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42022289693; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022289693.

Racial differences in treatment adherence and response to acupuncture and cognitive behavioral therapy for insomnia among Black and White cancer survivors.

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). CONCLUSION: 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.

The Role of Cognition, Affective Symptoms, and Apathy in Treatment Adherence with Noninvasive Home Mechanical Ventilation in Myotonic Dystrophy.

Background: 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. Objective: 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. Methods: 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). Results: 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. Conclusions: 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.

Psychometrics properties of type 2 diabetes treatment adherence questionnaire (DTAQ): a study based on Pender's health promotion model.

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). CONCLUSION: 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.

The Effect of Nursing Counseling on Treatment Compliance: Acute Coronary Syndrome and Diabetes Mellitus.

BACKGROUND: The comorbidity of acute coronary syndrome and diabetes affects patient prognoses. Therefore, it is important to manage these diseases simultaneously. PURPOSE: In this study, the effect of nursing counseling on treatment compliance was investigated in patients who had received surgical treatment for acute coronary syndrome and had been recently diagnosed with diabetes. METHODS: A quasi-experimental design with pretest-posttest control group was used. The study sample consisted of 60 patients (intervention group = 30, control group = 30). The data were collected using a patient information form, the Patient Learning Needs Scale, and the Scale for Patient Compliance with Type 2 Diabetes Mellitus Treatment. This study was conducted in compliance with the Transparent Reporting of Evaluations with Nonrandomized Designs checklist. RESULTS: The intervention group earned significantly higher posttest scores on the Patient Learning Needs total scale and subscales than the control group. Moreover, intervention group compliance with treatment was higher than that of the control group. Furthermore, although significant improvements were found in the average posttest body mass index, fasting blood glucose, HbA1c, total cholesterol, triglyceride, and low-density lipoprotein cholesterol values of the control group, the between-group differences in these values were not significant. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: It is important for nurses to provide counseling services that align with the learning needs of their patients. Also, nursing counseling units should be created and staffed by both specialist nurses and nurse trainers working in healthcare institutions.

A health promotion model-based intervention to enhance treatment adherence in patients with type 2 diabetes.

BACKGROUND: The present study aimed to determine the effect of an intervention based on Pender's health promotion model (HPM) on treatment adherence in patients with type 2 diabetes (T2D). METHODS: The present quasi-experimental study with a 3-month follow-up was conducted in Bandar Abbas, a city in the south of Iran in 2023. The intervention group (IG) with a total number of 95 T2D patients was selected from Hormuz diabetes clinic and the control group (CG) with 95 T2D patients was selected from comprehensive health centers through a clustering sampling method. The educational intervention was implemented in 10 sessions to improve patients' treatment adherence. The teaching methods in training sessions were lectures, joint discussions, Q&A, role-play and peer training. The participants were evaluated using a researcher-made questionnaire including the constructs of Pender's HPM about T2D treatment adherence, hemoglobin A1C (HbA1C), and BMI. Independent-samples t-test, paired-samples t-test, covariance analysis and stepwise regression analysis were used. Data analysis was done in SPSS 26. FINDINGS: Three months after the intervention, in comparison to the CG, the mean and standard deviation of treatment adherence benefits (p = 0.002), treatment adherence self-efficacy (p = 0.010), treatment adherence related affect (p = 0.001), interpersonal influences (p = 0.012), commitment to plan of action (p < 0.001), treatment adherence behavior (p = 0.022), treatment adherence experiences (p = 0.001) was higher in the IG. The mean and standard deviation of situational influences (p < 0.001), immediate competing demands and preferences (p = 0.018) were lower than the CG. The results obtained from the analysis of covariance proved the effectiveness of the intervention in the constructs of Pender's HPM and HbA1C in participants of the IG (p < 0.001). The regression analysis showed, after the intervention, for every 1 unit of change in commitment to behavior planning, action related affect and perceived self-efficacy, compared to before the intervention, there were 0.22 units, 0.16 units and 0.26 units of change in the behavior score in the IG. CONCLUSION: The findings proved the effectiveness of the educational intervention in improving the constructs in Pender's HPM and the blood sugar level of T2D patients. As the results of the educational intervention showed, the use of a suitable educational approach as well as the development of appropriate educational content for the target population can significantly improve the treatment adherence behavior. TRIAL REGISTRATION: This study is registered on the Iranian Registry of Clinical Trials (IRCT20211228053558N1: https://www.irct.ir/trial/61741 ) and first release date of 17th March 2022.

Patient-reported outcomes and treatment adherence in type 2 diabetes using natural language processing: Wave 8 of the Observational International Diabetes Management Practices Study.

AIMS/INTRODUCTION: We analyzed patient-reported outcomes of people with type 2 diabetes to better understand perceptions and experiences contributing to treatment adherence. MATERIALS AND METHODS: In the ongoing International Diabetes Management Practices Study, we collected patient-reported outcomes data from structured questionnaires (chronic treatment acceptance questionnaire and Diabetes Self-Management Questionnaire) and free-text answers to open-ended questions to assess perceptions of treatment value and side-effects, as well as barriers to, and enablers for, adherence and self-management. Free-text answers were analyzed by natural language processing. RESULTS: In 2018-2020, we recruited 2,475 patients with type 2 diabetes (43.3% insulin-treated, glycated hemoglobin (HbA1c) 8.0 ± 1.8%; 30.9% with HbA1c <7%) from 13 countries across Africa, the Middle East, Europe, Latin America and Asia. Mean ± standard deviation scores of chronic treatment acceptance questionnaire (acceptance of medication, rated out of 100) and Diabetes Self-Management Questionnaire (self-management, rated out of 10) were 87.8 ± 24.5 and 3.3 ± 0.9, respectively. Based on free-text analysis and coded responses, one in three patients reported treatment non-adherence. Overall, although most patients accepted treatment values and side-effects, self-management was suboptimal. Treatment duration, regimen complexity and disruption of daily routines were major barriers to adherence, whereas habit formation was a key enabler. Treatment-adherent patients were older (60 ± 11.6 vs 55 ± 11.7 years, P < 0.001), and more likely to have longer disease duration (12 ± 8.6 vs 10 ± 7.7 years, P < 0.001), exposure to diabetes education (73.1% vs 67.8%, P < 0.05), lower HbA1c (7.9 ± 1.8% vs 8.3 ± 1.9%, P < 0.001) and attainment of HbA1c <7% (29.7% vs 23.3%, P < 0.01). CONCLUSIONS: Patient perceptions/experiences influence treatment adherence and self-management. Patient-centered education and support programs that consider patient-reported outcomes aimed at promoting empowerment and developing new routines might improve glycemic control.

Tuberculosis Treatment Compliance Under Smartphone-Based Video-Observed Therapy Versus Community-Based Directly Observed Therapy: Cluster Randomized Controlled Trial.

BACKGROUND: There are no recent studies comparing the compliance rates of both patients and observers in tuberculosis treatment between the video-observed therapy (VOT) and directly observed therapy (DOT) programs. OBJECTIVE: This study aims to compare the average number of days that patients with pulmonary tuberculosis and their observers were compliant under VOT and DOT. In addition, this study aims to compare the sputum conversion rate of patients under VOT with that of patients under DOT. METHODS: Patient and observer compliance with tuberculosis treatment between the VOT and DOT programs were compared based on the average number of VOT and DOT compliance days and sputum conversion rates in a 60-day cluster randomized controlled trial with patients with pulmonary tuberculosis (VOT: n=63 and DOT: n=65) with positive sputum acid-fast bacilli smears and 38 observers equally randomized into the VOT and DOT groups (19 observers per group and n=1-5 patients per observer). The VOT group submitted videos to observers via smartphones; the DOT group followed standard procedures. An intention-to-treat analysis assessed the compliance of both the patients and the observers. RESULTS: The VOT group had higher average compliance than the DOT group (patients: mean difference 15.2 days, 95% CI 4.8-25.6; P=.005 and observers: mean difference 21.2 days, 95% CI 13.5-28.9; P<.001). The sputum conversion rates in the VOT and DOT groups were 73% and 61.5%, respectively (P=.17). CONCLUSIONS: Smartphone-based VOT significantly outperformed community-based DOT in ensuring compliance with tuberculosis treatment among observers. However, the study was underpowered to confirm improved compliance among patients with pulmonary tuberculosis and to detect differences in sputum conversion rates. TRIAL REGISTRATION: Thai Clinical Trials Registry (TCTR) TCTR20210624002; https://tinyurl.com/3bc2ycrh. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/38796.

The mediating role of psychological well-being in the relationship between the light triad of personality and sense of concordance with treatment adherence in patients with type 2 diabetes: A network analysis and structural equation modeling study.

BACKGROUND: This study aimed to investigate the intricate relationship among treatment adherence, the light triad of personality, self-coherence, and psychological well-being in individuals diagnosed with Type 2 Diabetes Mellitus (T2DM). Structural equation modeling (SEM) was employed to elucidate the direct and mediated pathways linking these variables, while network analysis sought to identify and characterize the underlying factors of the light triad of personality within the context of T2DM management. METHOD: A path analysis-network analysis study using convenience sampling was conducted, recruiting 412 T2DM patients from ten private practices and general hospitals in Gilan province, Iran. Data collection utilized Antonovsky's Self of Coherence scale (SOC), The Light Triad Rating Scale, and The Reef's Psychological Well-being Questionnaire. Structural equation modeling assessed model fitness and determined direct and indirect links between variables. Analysis was conducted using R-Studio software (Version 4.2.1), SPSS (V.26), and AMOS software (V.24). RESULTS: Confirmatory factor analysis and network analysis confirmed the three-factor structure of the Light Triad of Personality scale. Direct impacts of Light Triad of Personality (ß = 0.34, p < .001) and self-coherence (ß = 0.32, p < .001) on treatment adherence were observed. Psychological well-being played an indirect role in this relationship, with significant effects from Light Triad of Personality (ß = 0.25, p < .001) and self-coherence (ß = 0.08, p < .001) on treatment adherence. Bootstrapped exploratory graph analysis revealed an average of 3 dimensions within the network, indicating community structures. CONCLUSION: SEM analysis demonstrated good model fit, suggesting the importance of designing interventional programs incorporating self-coherence and psychological well-being frameworks to enhance treatment adherence in T2DM patients.

Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review.

Background: Mobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens that involve taking medicine and other self-management activities. However, there is no consensus on what discrete behavior change techniques (BCTs) should be used in an effective adherence and self-management-promoting mHealth solution for any chronic illness. Reviewing the extant literature to identify effective, cross-cutting BCTs in mHealth interventions for adherence and self-management promotion could help accelerate the development, evaluation, and dissemination of behavior change interventions with potential generalizability across complex medical conditions. Objective: This study aimed to identify cross-cutting, mHealth-based BCTs to incorporate into effective mHealth adherence and self-management interventions for people with complex medical conditions, by systematically reviewing the literature across chronic medical conditions with similar adherence and self-management demands. Methods: A registered systematic review was conducted to identify published evaluations of mHealth adherence and self-management interventions for chronic medical conditions with complex adherence and self-management demands. The methodological characteristics and BCTs in each study were extracted using a standard data collection form. Results: A total of 122 studies were reviewed; the majority involved people with type 2 diabetes (28/122, 23%), asthma (27/122, 22%), and type 1 diabetes (19/122, 16%). mHealth interventions rated as having a positive outcome on adherence and self-management used more BCTs (mean 4.95, SD 2.56) than interventions with no impact on outcomes (mean 3.57, SD 1.95) or those that used >1 outcome measure or analytic approach (mean 3.90, SD 1.93; P=.02). The following BCTs were associated with positive outcomes: self-monitoring outcomes of behavior (39/59, 66%), feedback on outcomes of behavior (34/59, 58%), self-monitoring of behavior (34/59, 58%), feedback on behavior (29/59, 49%), credible source (24/59, 41%), and goal setting (behavior; 14/59, 24%). In adult-only samples, prompts and cues were associated with positive outcomes (34/45, 76%). In adolescent and young adult samples, information about health consequences (1/4, 25%), problem-solving (1/4, 25%), and material reward (behavior; 2/4, 50%) were associated with positive outcomes. In interventions explicitly targeting medicine taking, prompts and cues (25/33, 76%) and credible source (13/33, 39%) were associated with positive outcomes. In interventions focused on self-management and other adherence targets, instruction on how to perform the behavior (8/26, 31%), goal setting (behavior; 8/26, 31%), and action planning (5/26, 19%) were associated with positive outcomes. Conclusions: To support adherence and self-management in people with complex medical conditions, mHealth tools should purposefully incorporate effective and developmentally appropriate BCTs. A cross-cutting approach to BCT selection could accelerate the development of much-needed mHealth interventions for target populations, although mHealth intervention developers should continue to consider the unique needs of the target population when designing these tools.

The Effects of Patient Preference on Clinical Outcome, Satisfaction and Adherence Within the Treatment of Anxiety and Depression: A Meta-Analysis.

BACKGROUND: Taking patient preference into consideration has received increased attention in the last decades. We conducted a meta-analysis to estimate the effects of patient preference on clinical outcome, satisfaction and adherence regarding treatment of depression and anxiety. METHODS: Pubmed, Embase, PsycINFO and Scopus were searched for (cluster) randomized controlled trials. Twenty-six randomized controlled clinical trials were included, comprising 3670 participants, examining the effect of patient preference regarding treatment of anxiety and depression on clinical outcome, satisfaction and/or adherence. RESULTS: No effect of patient preference was found on clinical outcome [d = 0.06, 95% CI = (-0.03, 0.15), p = 0.16, n = 23 studies]. A small effect of patient preference was found on treatment satisfaction [d = 0.33, 95% CI = (0.08, 0.59), p = 0.01, n = 6 studies] and on treatment adherence [OR = 1.55, 95% CI = (1.28, 1.87), p < 0.001, n = 22 studies]. LIMITATIONS: Patient preference is a heterogeneous concept, future studies should strive to equalize operationalization of preference. Subgroup analyses within this study should be interpreted with caution because the amount of studies per analysed subgroup was generally low. Most studies included in this meta-analysis focused on patients with depression. The small number of studies (n = 6) on satisfaction, prevents us from drawing firm conclusions. CONCLUSIONS: While this meta-analysis did not find a positive effect of considering patient preference on clinical outcome, it was associated with slightly better treatment satisfaction and adherence. Accommodating preference of patients with anxiety and depression can improve treatment. TRIAL REGISTRATION: PROSPERO: CRD42020172556.

Asthma patients' and physicians' perspectives on the burden and management of asthma: Post-hoc analysis of APPaRENT 1 and 2 to assess predictors of treatment adherence.

INTRODUCTION: Patient adherence to maintenance medication is critical for improving clinical outcomes in asthma and is a recommended guiding factor for treatment strategy. Previously, the APPaRENT studies assessed patient and physician perspectives on asthma care; here, a post-hoc analysis aimed to identify patient factors associated with good adherence and treatment prescription patterns. METHODS: APPaRENT 1 and 2 were cross-sectional online surveys of 2866 adults with asthma and 1883 physicians across Argentina, Australia, Brazil, Canada, China, France, Italy, Mexico, and the Philippines in 2020-2021. Combined data assessed adherence to maintenance medication, treatment goals, use of asthma action plans, and physician treatment patterns and preferences. Multivariable logistic regression models assessed associations between patient characteristics and both treatment prescription (by physicians) and patient treatment adherence. RESULTS: Patient and physician assessments of treatment goals and adherence differed, as did reporting of short-acting ß2-agonist (SABA) prescriptions alongside maintenance and reliever therapy (MART). Older age and greater patient-reported severity and reliever use were associated with better adherence. Patient-reported prescription of SABA with MART was associated with household smoking, severe or poorly controlled asthma, and living in China or the Philippines. CONCLUSIONS: Results revealed an important disconnect between patient and physician treatment goals and treatment adherence, suggesting that strategies for improving patient adherence to maintenance medication are needed, focusing on younger patients with milder disease. High reliever use despite good adherence may indicate poor disease control. Personalised care considering patient characteristics alongside physician training in motivational communication and shared decision-making could improve patient management and outcomes.

Associations between perceived discrimination experiences, treatment adherence self-efficacy, and depressive symptoms among people living with HIV in the Southern United States.

This study examined associations between perceived discrimination, treatment adherence self-efficacy, and depressive symptoms among people living with HIV (PLHIV) in the Southern United States. Cross-sectional survey data were collected from 402 PLHIV who self-reported on interpersonal discrimination experiences based on HIV status, sexuality, gender, income, and living condition. Participants also reported on adherence self-efficacy and depressive symptoms. We employed K-means clustering to identify groups based on discrimination experiences, and logistic regressions to examine group differences on adherence self-efficacy and depressive symptoms. Results suggested three groups: a cluster with high perceived discrimination across all identities/conditions (n = 41; 11%; Cluster 1); a cluster with high perceived discrimination based on HIV status, income, and living condition (n = 49; 13%; Cluster 2); and a cluster with low perceived discrimination across all identities/conditions (n = 288; 76%; Cluster 3). Compared to Cluster 3, Cluster 1 and 2 had 2.22 times (p = .037) and 3.98 times (p<.001) greater odds of reporting depressive symptoms. Compared to Cluster 3, Cluster 2 had 3.40 times (p = .003) greater odds of reporting lower adherence self-efficacy. Findings demonstrate the need for individual-level support for PLHIV with discrimination histories, and broader efforts to end the stigma, discrimination, and marginalization of PLHIV based on HIV status and other characteristics.

Association Between Treatment Adherence and Continuous Glucose Monitoring Outcomes in People With Diabetes Using Smart Insulin Pens in a Real-World Setting.

OBJECTIVE: To evaluate the association of insulin injection adherence, smart insulin pen engagement, and glycemic control using real-world data from 16 countries from adults self-administering basal insulin degludec and bolus insulin with a smart insulin pen (NovoPen 6 or NovoPen Echo Plus) alongside continuous glucose monitoring (CGM). RESEARCH DESIGN AND METHODS: Data were aggregated over 14-day periods. Treatment adherence was defined according to the number of missed basal and missed bolus insulin doses and smart pen engagement according to the number of days with data uploads. RESULTS: Data from 3,945 adults, including 25,157 14-day periods with ≥70% CGM coverage, were analyzed. On average, 0.2 basal and 6.0 bolus insulin doses were missed over 14 days. The estimated probability of missing at least one basal insulin dose over a 14-day period was 17.6% (95% CI 16.5, 18.7). Missing one basal or bolus insulin dose per 14 days was associated with a significant decrease in percentage of time with glucose levels in range (TIR) (3.9-10.0 mmol/L), of -2.8% (95% CI -3.7, -1.8) and -1.7% (-1.8, -1.6), respectively; therefore, missing two basal or four bolus doses would decrease TIR by >5%. Smart pen engagement was associated positively with glycemic outcomes. CONCLUSIONS: This combined analysis of real-world smart pen and CGM data showed that missing two basal or four bolus insulin doses over a 14-day period would be associated with a clinically relevant decrease in TIR. Smart insulin pens provide valuable insights into treatment injection behaviors.

Treatment Nonadherence among Multimorbid Chronic Disease Patients: Evidence from 3515 Subjects in Indonesia.

Background and Objectives: Multimorbid patients require intensive treatment for their diseases. However, little research has been given to their treatment adherence as part of its management. This study aims to determine the prevalence and characteristics of chronic disease multimorbidity in Indonesia, alongside its treatment nonadherence. Materials and Methods: We conducted a cross-sectional study using the fifth Indonesian Family Life Survey database among adult subjects aged ≥ 15 years with multimorbidity. Our descriptive and multivariate analyses include sex, age, formal education, ethnicity, geographic residence, demographic residence, household size, insurance ownership, annual income, current self-perceived health status, missing active days, smoking behavior, and body mass index. Results: We identified 3515 multimorbid patients, constituting 30.8% prevalence across chronic disease patients. Hypertension was found to be a prevalent component of multimorbidity (61.2%), followed by digestive diseases (44.5%) and arthritis (30.3%). We identified that 36.4% of the subjects were nonadherent to their chronic disease treatment. Characteristics associated with nonadherence were found to be a good self-perception of health (aOR 1.79, 95% CI 1.54-2.08), active smoking behavior (aOR 1.51, 95% CI 1.14-1.99), no smoking behavior (aOR 1.44, 95% CI 1.08-1.90), missing seven active/productive days or less in the past month due to poor health (aOR 1.36, 95% CI 1.10-1.68), no insurance ownership (aOR 1.20, 95% CI 1.04-1.39), age of 15-65 years (aOR 1.25, 95% CI 1.01-1.55), income below IDR 40 million (aOR 1.23, 95% CI 1.04-1.46), and household size of 2-6 people (aOR 1.17, 95% CI 1.01-1.36). Conclusions: While the prevalence of multimorbidity in Indonesia is generally similar to that observed in previous studies, we have identified patient characteristics related to nonadherence. We suggest that patient's nonadherence was primarily dictated by their self-perception of health and treatment complexity. With the longstanding issue of nonadherence, this study indicated the need to consider creating patient-tailored treatment programs in clinical practice to improve adherence by considering individual patients' characteristics.

Exploring Lifestyle Factors and Treatment Adherence among Older Adults with Hypertension Attending a Mobile Health Unit (MHU) in a Rural Area of Central Portugal.

This cross-sectional and analytical study aimed to characterize a sample of hypertensive older adults attending a Mobile Health Unit (MHU) in a rural area of central Portugal according to their lifestyle and to analyze the impact of lifestyles on treatment adherence. The sample comprised 235 Portuguese hypertense patients, mainly females (63.8%) with a mean age of 75 years (±8.14 years) and low level of education. The data collection was carried out through a questionnaire consisting of sociodemographic questions, dietary variables, an Alcohol Dependence Questionnaire, an International Physical Activity Questionnaire (Short Version), a Nutrition Health Determination Questionnaire, a Self-Care with Hypertension Scale, and an Adherence to Treatments Measurement Scale. Only 34.5% of the hypertensive patients have controlled blood pressure values (28.2% men and 38% women). However, more than half (56.2%) of the hypertensive patients are classified as adherent to therapeutic measures. The hypertensive individuals, who present higher levels of adherence to the treatment, do not present alcohol dependence, are frequent consumers of aromatic herbs, sporadically consume salt, present good nutritional health, and practice moderate physical activity. The predictor variables for treatment adherence are the self-care dimensions general dietary (p = 0.001), specific dietary (p = 0.034), physical activity (p = 0.031), and antihypertensive medication intake (p < 0.001). Hypertensive patients with healthier lifestyles present better levels of treatment adherence. Therefore, promoting physical activity and healthy dietary practices is necessary to improve treatment adherence and increase antihypertensive treatment's effectiveness.