ABSTRACT
BACKGROUND: Ecological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no "gold standard" for EMA study design to promote compliance. OBJECTIVE: The purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs. METHODS: Participants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1-number of questions per EMA survey (15 vs 25); factor 2-number of EMAs per day (2 vs 4); factor 3-EMA prompting schedule (random vs fixed times); factor 4-payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5-EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined. RESULTS: Participants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance. CONCLUSIONS: Study results have broad implications for developing best practices guidelines for future studies that use EMA methodologies. TRIAL REGISTRATION: ClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228.
Subject(s)
Ecological Momentary Assessment , Humans , Female , Male , Adult , United States , Middle Aged , Smartphone , Young Adult , Surveys and QuestionnairesABSTRACT
Importance: Socioeconomically disadvantaged individuals (ie, those with low socioeconomic status [SES]) have difficulty quitting smoking and may benefit from incentive-based cessation interventions. Objectives: To evaluate the impact of incentivizing smoking abstinence on smoking cessation among adults with low SES. Design, Setting, and Participants: This study used a 2-group randomized clinical trial design. Data collection occurred between January 30, 2017, and February 7, 2022. Participants included adults with low SES who were willing to undergo smoking cessation treatment. Data were analyzed from April 18, 2023, to April 19, 2024. Interventions: Participants were randomized to usual care (UC) for smoking cessation (counseling plus pharmacotherapy) or UC plus abstinence-contingent financial incentives (UC plus FI). Main Outcomes and Measures: The primary outcome was biochemically verified 7-day point prevalence smoking abstinence (PPA) at 26 weeks after the quit date. Secondary outcomes included biochemically verified 7-day PPA at earlier follow-ups, 30-day PPA at 12 and 26 weeks, repeated 7-day PPA, and continuous abstinence. Multiple approaches were employed to handle missing outcomes at follow-up, including categorizing missing data as smoking (primary), complete case analysis, and multiple imputation. Results: The 320 participants had a mean (SD) age of 48.9 (11.6) and were predominantly female (202 [63.1%]); 82 (25.6%) were Black, 15 (4.7%) were Hispanic, and 200 (62.5%) were White; and 146 (45.6%) participated during the COVID-19 pandemic. Overall, 161 were randomized to UC and 159 were randomized to UC plus FI. After covariate adjustment with missing data treated as smoking, assignment to UC plus FI was associated with a greater likelihood of 7-day PPA at the 4-week (adjusted odds ratio [AOR], 3.11 [95% CI, 1.81-5.34]), 8-week (AOR, 2.93 [95% CI, 1.62-5.31]), and 12-week (AOR, 3.18 [95% CI, 1.70-5.95]) follow-ups, but not at the 26-week follow-up (22 [13.8%] vs 14 [8.7%] abstinent; AOR, 1.79 [95% CI, 0.85-3.80]). However, the association of group assignment with smoking cessation reached statistical significance at all follow-ups, including 26 weeks, with multiple imputation (37.37 [23.5%] in the UC plus FI group vs 19.48 [12.1%] in the UC group were abstinent; AOR, 2.29 [95% CI, 1.14-4.63]). Repeated-measures analyses indicated that participants in the UC plus FI group were significantly more likely to achieve PPA across assessments through 26 weeks with all missing data estimation methods. Other secondary cessation outcomes also showed comparable patterns across estimation methods. Participants earned a mean (SD) of $72 ($90) (of $250 possible) in abstinence-contingent incentives. Participation during the COVID-19 pandemic reduced the likelihood of cessation across assessments. Conclusions and Relevance: In this randomized clinical trial, incentivizing smoking cessation did not increase cessation at 26 weeks when missing data were treated as smoking; however, the UC plus FI group had greater odds of quitting at follow-ups through 12 weeks. Cessation rates were higher for the UC plus FI group at all follow-ups through 26 weeks when multiple imputation was used to estimate missing outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT02737566.
Subject(s)
Motivation , Smoking Cessation , Vulnerable Populations , Humans , Smoking Cessation/methods , Smoking Cessation/economics , Smoking Cessation/statistics & numerical data , Female , Male , Adult , Middle Aged , PovertyABSTRACT
BACKGROUND: Most people who smoke cigarettes report they want to quit in the future, but only 20 % are ready to quit within the next 30 days. This 3-arm pilot randomized controlled trial examined the feasibility and initial efficacy of a novel smartphone-based intervention that aimed to induce smoking cessation attempts among adults not initially ready to quit. METHODS: Participants randomized into the two intervention groups (Group 1: Phoenix App Only; Group 2: Phoenix App + Nicotine Replacement Therapy) received daily smoking cessation messages via smartphone application that were tailored to their current readiness to quit, while the attention control group (i.e., Factoid) received messages not related to smoking cessation. All participants completed a weekly survey for 26 weeks and used the app to set quit dates when/if desired. RESULTS: Participants (N=152) were female (67.8 %), White (75.7 %), 50.0 years old (SD=12.5), and smoked 20.4 cigarettes per day (SD=10.5). Results indicated that the Phoenix interventions were feasible (e.g., participants viewed ~185 messages over 26 weeks; 74.8 % of weekly surveys were completed; 85.5 % completed the 26-week follow-up assessment). Phoenix participants set more quit dates, set quit dates sooner, were abstinent for more days, and used smoking cessation medications on more days than those assigned to the Factoid group. CONCLUSIONS: This low-burden, smartphone-based smoking cessation induction intervention may increase smoking cessation attempts, and may reduce barriers that are encountered with traditional in-person or call-based interventions. TRIAL REGISTRATION: Clinicaltrials.gov number: NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.
Subject(s)
Smartphone , Smoking Cessation , Humans , Female , Smoking Cessation/methods , Male , Pilot Projects , Middle Aged , Adult , Mobile Applications , Tobacco Use Cessation DevicesABSTRACT
BACKGROUND: Efficacy of smartphone-based interventions depends on intervention content quality and level of exposure to that content. Smartphone-based survey completion rates tend to decline over time; however, few studies have identified variables that predict this decline over longer-term interventions (eg, 26 weeks). OBJECTIVE: This study aims to identify predictors of survey completion and message viewing over time within a 26-week smoking cessation trial. METHODS: This study examined data from a 3-group pilot randomized controlled trial of adults who smoke (N=152) and were not ready to quit smoking within the next 30 days. For 182 days, two intervention groups received smartphone-based morning and evening messages based on current readiness to quit smoking. The control group received 2 daily messages unrelated to smoking. All participants were prompted to complete 26 weekly smartphone-based surveys that assessed smoking behavior, quit attempts, and readiness to quit. Compliance was operationalized as percentages of weekly surveys completed and daily messages viewed. Linear regression and mixed-effects models were used to identify predictors (eg, intervention group, age, and sex) of weekly survey completion and daily message viewing and decline in compliance over time. RESULTS: The sample (mean age 50, SD 12.5, range 19-75 years; mean years of education 13.3, SD 1.6, range 10-20 years) was 67.8% (n=103) female, 74.3% (n=113) White, 77% (n=117) urban, and 52.6% (n=80) unemployed, and 61.2% (n=93) had mental health diagnoses. On average, participants completed 18.3 (71.8%) out of 25.5 prompted weekly surveys and viewed 207.3 (60.6%) out of 345.1 presented messages (31,503/52,460 total). Age was positively associated with overall weekly survey completion (P=.003) and daily message viewing (P=.02). Mixed-effects models indicated a decline in survey completion from 77% (114/148) in the first week of the intervention to 56% (84/150) in the last week of the intervention (P<.001), which was significantly moderated by age, sex, ethnicity, municipality (ie, rural/urban), and employment status. Similarly, message viewing declined from 72.3% (1533/2120) in the first week of the intervention to 44.6% (868/1946) in the last week of the intervention (P<.001). This decline in message viewing was significantly moderated by age, sex, municipality, employment status, and education. CONCLUSIONS: This study demonstrated the feasibility of a 26-week smartphone-based smoking cessation intervention. Study results identified subgroups that displayed accelerated rates in the decline of survey completion and message viewing. Future research should identify ways to maintain high levels of interaction with mobile health interventions that span long intervention periods, especially among subgroups that have demonstrated declining rates of intervention engagement over time. TRIAL REGISTRATION: ClinicalTrials.gov NCT03405129; https://clinicaltrials.gov/ct2/show/NCT03405129.
ABSTRACT
There is widespread empirical evidence that the COVID-19 pandemic contributed to elevated risk of mental and physical health symptoms and decreased quality of life. The present investigation sought to examine if individual differences in anxiety sensitivity was associated with mental health, psychosomatic, and well-being among a sample of US adults during a 6-month period early in the COVID-19 pandemic. Employing longitudinal research methodology, we tested the hypothesis that the anxiety sensitivity global factor would be related to increased risk of anxiety, depression, fatigue, and lower well-being. Secondary analyses evaluated the lower order anxiety sensitivity factors for the same criterion variables. The sample consisted of 778 participants with an average age of 37.96 (SD = 11.81; range 18-73). Results indicated that, as hypothesized, anxiety sensitivity was associated with increased risk for more severe anxiety, depression, fatigue, and lesser well-being; the observed effects of anxiety sensitivity were relatively robust and evident in adjusted models that controlled for numerous theoretically and clinically relevant factors (e.g. perceived health status). Overall, these results suggest that pandemic functioning could likely be improved via interventions that target elevated anxiety sensitivity as a vulnerability factor for a broad range of aversive psychosomatic symptoms and personal well-being.
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The prevalence of alcohol use disorders is higher amongst adults experiencing homelessness (AEH) compared with domiciled adults. Greater exposure to heavy drinkers increases personal risk for heavy alcohol use. AEH spend substantial periods of time at shelters and report greater pressure to use alcohol when near shelter locations, as well as greater negative affect when near a shelter. It is unclear if the relationship between affect and 1) interacting with people and 2) being near someone AEH drank alcohol with before differs when AEH are at a shelter versus not. AEH reporting alcohol misuse (n = 72, Mage= 47, 85% Male, 68% Non-White) completed five daily smartphone-based ecological momentary assessments (EMAs) over 28 days. Generalized multilevel modeling revealed that when AEH were interacting with someone they drank with before, they had significantly lower positive affect when at a shelter (b = -0.17, p = 0.05), versus when not (b = 0.00, p = 0.99). AEH are likely to interact with previous drinking partners while at shelters. It may be important to deliver real-time treatment messages targeting affect in these moments, as well as deliver alcohol reduction/abstinence messages.
ABSTRACT
OBJECTIVES: Smoking prevalence remains high among low-income smokers. Understanding processes (eg, withdrawal, craving, motivation) in early smoking cessation is crucially important for designing effective interventions for this population. METHODS: This is a secondary analysis of a novel, in-session sampling intervention (ie, In Vivo) as compared with standard care behavioral smoking cessation counseling (SC) among community-dwelling low-income smokers (n = 83). This analysis examined the effect of 5 in-session sampling interventions on cessation-related processes and perceived advantages or disadvantages of nicotine replacement therapy (NRT) products over time using daily diaries. RESULTS: The In Vivo treatment had an early positive impact in terms of decreasing withdrawal symptoms and cravings, and increasing perceived advantages to NRT, with moderate to large effect sizes. Results also showed that the treatment effectively reduced withdrawal symptoms and cravings in-session, with small-to-medium and medium-to-large effect sizes, respectively. In-session reduction of withdrawal symptoms and cravings did not occur for the SC group, with the exception of decreased withdrawal symptoms occurring during week 4. The In Vivo treatment did not impact quit goal, desire to quit, abstinence self-efficacy, perceived difficulty in quitting, motivational engagement, or perceived disadvantages to NRT. The In Vivo group reported less daily cigarette use relative to the SC group, in addition to reporting less cigarette use on days they reported greater combination NRT use. CONCLUSIONS: There is preliminary support for this In Vivo treatment over SC in reducing withdrawal, craving, and the number of cigarettes smoked per day, as well as promoting perceived advantages of NRT among low-income smokers.
Subject(s)
Craving , Smoking Cessation , Substance Withdrawal Syndrome , Tobacco Use Cessation Devices , Humans , Smoking Cessation/methods , Male , Female , Adult , Middle Aged , Motivation , Poverty , Counseling/methods , Nicotine Replacement TherapyABSTRACT
Substance use disorders (SUDs) have an enormous negative impact on individuals, families, and society as a whole. Most individuals with SUDs do not receive treatment because of the limited availability of treatment providers, costs, inflexible work schedules, required treatment-related time commitments, and other hurdles. A paradigm shift in the provision of SUD treatments is currently underway. Indeed, with rapid technological advances, novel mobile health (mHealth) interventions can now be downloaded and accessed by those that need them anytime and anywhere. Nevertheless, the development and evaluation process for mHealth interventions for SUDs is still in its infancy. This review provides a critical appraisal of the significant literature in the field of mHealth interventions for SUDs with a particular emphasis on interventions for understudied and underserved populations. We also discuss the mHealth intervention development process, intervention optimization, and important remaining questions.
Subject(s)
Substance-Related Disorders , Telemedicine , Humans , Substance-Related Disorders/therapyABSTRACT
BACKGROUND: African American or Black (hereafter referred to as Black) adults who use cannabis use it more frequently and are more likely to meet criteria for cannabis use disorder (CUD) than both White and Hispanic or Latin individuals. Black adults may be more apt to use cannabis to cope with distress, which constitutes a false safety behavior (FSB; a behavior designed to reduce psychological distress in the short term). Although FSB engagement can perpetuate the cycle of high rates of CUD among Black individuals, limited work has applied an FSB elimination treatment approach to Black adults with CUD, and no previous work has evaluated FSB reduction or elimination in the context of a culturally tailored and highly accessible treatment developed for Black individuals. OBJECTIVE: This study aims to develop and pilot-test a culturally tailored adaptive intervention that integrates FSB reduction or elimination skills for cannabis reduction or cessation among Black adults with probable CUD (Culturally Tailored-Mobile Integrated Cannabis and Anxiety Reduction Treatment [CT-MICART]). METHODS: Black adults with probable CUD (N=50) will complete a web-based screener, enrollment call, baseline assessment, 3 daily ecological momentary assessments (EMAs) for 6 weeks, and a follow-up self-report assessment and qualitative interview at 6 weeks after randomization. Participants will be randomized into 1 out of the 2 conditions after baseline assessment: (1) CT-MICART+EMAs for 6 weeks or (2) EMAs only for 6 weeks. RESULTS: The enrollment started in June 2023 and ended in November 2023. Data analysis will be completed in March 2024. CONCLUSIONS: No culturally tailored, evidence-based treatment currently caters to the specific needs of Black individuals with CUD. This study will lay the foundation for a new approach to CUD treatment among Black adults that is easily accessible and has the potential to overcome barriers to treatment and reduce practitioner burden in order to support Black individuals who use cannabis with probable CUD. TRIAL REGISTRATION: ClinicalTrials.gov NCT05566730; https://clinicaltrials.gov/study/NCT05566730. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52776.
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PURPOSE: We developed and piloted a mobile health app to deliver cognitive behavioral therapy for pain (pain-CBT), remote symptom monitoring, and pharmacologic support for patients with pain from advanced cancer. METHODS: Using an iterative process of patient review and feedback, we developed the STAMP + CBT app. The app delivers brief daily lessons from pain-CBT and pain psychoeducation, adapted for advanced cancer. Daily surveys assess physical symptoms, psychological symptoms, opioid utilization and relief. Just-in-time adaptive interventions generate tailored psychoeducation in response. We then conducted a single-arm pilot feasibility study at two cancer centers. Patients with advanced cancer and chronic pain used the app for 2 or 4 weeks, rated its acceptability and provided feedback in semi-structured interviews. Feasibility and acceptability were defined as ≥ 70% of participants completing ≥ 50% of daily surveys, and ≥ 80% of acceptability items rated ≥ 4/5. RESULTS: Fifteen participants (female = 9; mean age = 50.3) tested the app. We exceeded our feasibility and accessibility benchmarks: 73% of patients completed ≥ 50% of daily surveys; 87% of acceptability items were rated ≥ 4/5. Participants valued the app's brevity, clarity, and salience, and found education on stress and pain to be most helpful. The app helped participants learn pain management strategies and decrease maladaptive thoughts. However, participants disliked the notification structure (single prompt with one snooze), which led to missed content. CONCLUSION: The STAMP + CBT app was an acceptable and feasible method to deliver psychological/behavioral treatment with pharmacologic support for cancer pain. The app is being refined and will be tested in a larger randomized pilot study. TRN: NCT05403801 (05/06/2022).
Subject(s)
Chronic Pain , Cognitive Behavioral Therapy , Mobile Applications , Neoplasms , Humans , Female , Middle Aged , Analgesics, Opioid/therapeutic use , Pilot Projects , Neoplasms/complicationsABSTRACT
INTRODUCTION: Discrimination experiences may be a contributing factor to the elevated prevalence of mental health problems among adults experiencing homelessness. METHODS: Using survey data (N = 552) collected from adults seeking services at an urban day shelter, the relationships between everyday and major discrimination experiences, distress tolerance, and mental health problems (depression, anxiety, post-traumatic stress disorder, poor mental health days) were characterized. Distress tolerance was examined as a moderator of the relationship between discrimination and mental health problems. RESULTS: Participants were predominantly from racially minoritized groups (59.6%), non-Hispanic (88.7%), and male (70.9%), with an average age of 45.7 years old (SD = 11.7). Descriptive analyses indicated that the main reason for discrimination differed between racially privileged (i.e., White participants) and racially minoritized participants (i.e., participants who identified as Black, American Indian/Alaska Native, Asian, Native Hawaiian/Pacific Islander, or multi-race), such that homelessness was most commonly endorsed among racially privileged participants while racial discrimination was most commonly reported among racially minoritized participants. Multivariate logistic regression analyses revealed associations between everyday discrimination, major discrimination, and distress tolerance with mental health problems. Distress tolerance did not moderate the relations between discrimination and mental health problems in most analyses. Notably, major discrimination was no longer associated with all mental health variables when both everyday and major discrimination were included in all models. CONCLUSION: Findings suggest that reducing everyday discrimination and addressing the adverse impact of everyday discrimination experiences may have a beneficial impact on mental health.
Subject(s)
Ill-Housed Persons , Racism , Adult , Humans , Male , Middle Aged , Female , Mental Health , Racism/psychology , Anxiety/epidemiology , Anxiety DisordersABSTRACT
OBJECTIVE: Black individuals who smoke in the United States experience significant tobacco-related disparities. Although prior work has established that smoking abstinence expectancies play an important role in smoking-related outcomes, few studies have examined potential individual difference factors that may be relevant to smoking abstinence expectancies among Black individuals who smoke. The present study investigated anxiety sensitivity and distress tolerance in relation to smoking abstinence expectancies among a sample of Black individuals who smoke. METHOD: Participants were 86 Black adults who smoke cigarettes daily (M age = 46.07 years, SD = 10.37; 26.7% female). Four separate linear regression analyses were conducted to evaluate the relation between anxiety sensitivity, distress tolerance, and their interaction with each of the four smoking abstinence expectancies (i.e., somatic symptoms, positive consequences, harmful consequences, and negative mood). RESULTS: Results indicated that higher anxiety sensitivity was related to higher somatic symptoms, harmful consequences, and negative mood abstinence expectancies, whereas distress tolerance was related to higher positive consequences. Further, anxiety sensitivity and distress tolerance interacted to confer greater expectancies for the positive consequences of quitting. CONCLUSIONS: The current findings are among the first to document that anxiety sensitivity and distress tolerance are clinically relevant factors to consider when tailoring smoking cessation treatments for Black individuals who smoke. Future research is needed to examine distress tolerance and anxiety sensitivity as longitudinal predictors of smoking abstinence expectancies among Black individuals who smoke.
Subject(s)
Medically Unexplained Symptoms , Smoking Cessation , Adult , Humans , Female , Middle Aged , Male , Smoking Cessation/methods , Anxiety/epidemiology , Anxiety Disorders , Smoking/epidemiologyABSTRACT
BACKGROUND: Sleep deprivation is a critical risk factor for physical and mental health problems. The current study examined whether sleep problems were related to housing status and physical and mental health among people experiencing homelessness. METHODS: Data were collected via an anonymous survey completed by adults accessing services at a day shelter in Oklahoma City, OK. Demographic characteristics, sleep problems, days of poor physical and mental health, and self-rated health were assessed and compared across housing subgroups. Logistic regression analyses were performed to examine potential associations between sleep and health. RESULTS: Participants (N = 404) were predominantly male (71.0%) and racially minoritized (57.4%) with an average age of 47.0 (SD=11.6) years. Days of unintentional sleep over the past 30days differed significantly by housing status. Logistic regression analyses indicated that short sleep duration of ≤6 hours was associated with poorer self-rated health and more days of poor physical health over the past 30days compared to those who reported an optimal sleep duration of 7-9 hours. Additionally, reporting ≥1 day of unintentional daytime sleep was associated with more days of poor mental and physical health over the past 30-day. Reporting more days of inadequate sleep was associated with poorer self-rated health, and more days of poor physical and mental health over the past 30days. CONCLUSION: Sleep problems were associated with poorer physical and mental health among people experiencing homelessness. Safe environments where adults experiencing homelessness can sleep comfortably and without interruption may be needed to support good physical and mental health.
Subject(s)
Ill-Housed Persons , Sleep Wake Disorders , Adult , Humans , Male , Middle Aged , Female , Mental Health , Surveys and Questionnaires , Sleep , Sleep Wake Disorders/epidemiology , Sleep DeprivationABSTRACT
OBJECTIVE: Affective experiences are associated with smoking urges and behavior. Few studies have examined the temporal nature of these associations within a day, such as whether positive and negative affect in the morning are associated with smoking urges and behavior later in the day. METHOD: Participants (N = 63; MAge = 50 years, 48% female; 60% White) were randomized into one of three smoking cessation interventions and answered up to five daily ecological momentary assessments for 28 days during a quit attempt (M = 21.0 days, SD = 7.1). Before analysis, scores for morning positive and negative affect and later-day smoking urges and behavior were calculated. RESULTS: On days when individuals' morning positive affect was higher than usual, later-day smoking urges tended to be lower than usual. In contrast, on days when individuals' morning negative affect was higher than usual, later-day smoking urges tended to be higher than usual, and smoking was more likely. Further, individuals who had higher characteristic morning positive affect tended to have less intense later-day smoking urges, whereas those who tended to have higher characteristic morning negative affect tended to have more intense later-day smoking urges. CONCLUSIONS: Morning positive and negative affect were associated with later-day smoking urges, and morning negative affect was related to later-day smoking behavior. Future research should examine whether interventions that boost positive affect on mornings when it is lower than usual and attenuate negative affect on mornings when it is higher than usual, may reduce the intensity of smoking urges and the likelihood of smoking later in the day. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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BACKGROUND: Sleep problems are common and costly in the US military. Yet, within the military health system, there is a gross shortage of trained specialist providers to address sleep problems. As a result, demand for sleep medicine care far exceeds the available supply. Telehealth including telemedicine, mobile health, and wearables represents promising approaches to increase access to high-quality and cost-effective care. OBJECTIVE: The purpose of this study was to evaluate patient engagement and provider perceived effectiveness of a novel sleep telehealth platform and remote monitoring assessment in the US military. The platform includes a desktop web portal, native mobile app, and integrated wearable sensors (ie, a commercial off-the-shelf sleep tracker [Fitbit]). The goal of the remote monitoring assessment was to provide evidence-based sleep treatment recommendations to patients and providers. METHODS: Patients with sleep problems were recruited from the Internal Medicine clinic at Walter Reed National Military Medical Center. Patients completed intensive remote monitoring assessments over 10 days (including a baseline intake questionnaire, daily sleep diaries, and 2 daily symptom surveys), and wore a Fitbit sleep tracker. Following the remote monitoring period, patients received assessment results and personalized sleep education in the mobile app. In parallel, providers received a provisional patient assessment report in an editable electronic document format. Patient engagement was assessed via behavioral adherence metrics that were determined a priori. Patients also completed a brief survey regarding ease of completion. Provider effectiveness was assessed via an anonymous survey. RESULTS: In total, 35 patients with sleep problems participated in the study. There were no dropouts. Results indicated a high level of engagement with the sleep telehealth platform, with all participants having completed the baseline remote assessment, reviewed their personalized sleep assessment report, and completed the satisfaction survey. Patients completed 95.1% of sleep diaries and 95.3% of symptom surveys over 10 days. Patients reported high levels of satisfaction with most aspects of the remote monitoring assessment. In total, 24 primary care providers also participated and completed the anonymous survey. The results indicate high levels of perceived effectiveness and identified important potential benefits from adopting a sleep telehealth approach throughout the US military health care system. CONCLUSIONS: Military patients with sleep problems and military primary care providers demonstrated high levels of engagement and satisfaction with a novel sleep telehealth platform and remote monitoring assessment. Sleep telehealth approaches represent a potential pathway to increase access to evidence-based sleep medicine care in the US military. Further evaluation is warranted.
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BACKGROUND: Varenicline and oral nicotine replacement therapy (NRT) have each been shown to increase the likelihood of smoking cessation, but their combination has not been studied. In addition, smoking cessation medication adherence is often poor, thus, challenging the ability to evaluate medication efficacy. OBJECTIVE: This study examined the effects of combined varenicline and oral NRT and smartphone medication reminders on pharmacotherapy adherence and smoking abstinence among adults enrolled in smoking cessation treatment. METHODS: A 2×2 factorial design was used. Participants (N=34) were randomized to (1) varenicline + oral NRT (VAR+NRT) or varenicline alone (VAR) and (2) smartphone medication reminder messages (REM) or no reminder messages (NREM) over 13 weeks. Participants assigned to VAR+REM received varenicline reminder prompts, and those assigned to VAR+NRT+REM also received reminders to use oral NRT. The other 2 groups (VAR+NREM and VAR+NRT+NREM) did not receive medication reminders. Participants were not blinded to intervention groups. All participants received tobacco cessation counseling. Smartphone assessments of smoking as well as varenicline and NRT use (if applicable) were prompted daily through the first 12 weeks after a scheduled quit date. Descriptive statistics were generated to characterize the relations between medication and reminder group assignments with daily smoking, daily varenicline adherence, and daily quantity of oral NRT used. Participants completed follow-up assessments for 26 weeks after the quit date. RESULTS: Participants were predominantly White (71%), and half were female (50%). On average, participants were 54.2 (SD 9.4) years of age, they smoked an average of 19.0 (SD 9.0) cigarettes per day and had smoked for 34.6 (SD 12.7) years. Descriptively, participants assigned to VAR+NRT reported more days of smoking abstinence compared to VAR (29.3 vs 26.3 days). Participants assigned to REM reported more days of smoking abstinence than those assigned to NREM (40.5 vs 21.8 days). Participants assigned to REM were adherent to varenicline on more days compared to those assigned to NREM (58.6 vs 40.5 days), and participants assigned to VAR were adherent to varenicline on more days than those assigned to VAR + NRT (50.7 vs 43.3 days). In the subsample of participants assigned to VAR+NRT, participants assigned to REM reported more days where ≥5 pieces of NRT were used than NREM (14.0 vs 7.4 days). Average overall medication adherence (assessed via the Medication Adherence Questionnaire) showed the same pattern as the daily smartphone-based adherence assessments. CONCLUSIONS: Preliminary findings indicated that smoking cessation interventions may benefit from incorporating medication reminders and combining varenicline with oral NRT, though combining medications may be associated with poorer adherence. Further study is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT03722966; https://classic.clinicaltrials.gov/ct2/show/NCT03722966.
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BACKGROUND: The prevalence of smoking remains high in many low- and middle-income countries (LMICs), including the Southeast Asian nation of Cambodia. Smoking is especially hazardous for people with HIV. In Cambodia, approximately 43%-65% of men with HIV and 3%-5% of women with HIV smoke cigarettes. Thus, there is a critical need for cost-effective smoking cessation interventions for Cambodian people with HIV. This paper describes the design, methods, and data analysis plans for a randomized controlled trial assessing the efficacy of a theory-based mobile health smoking cessation intervention in Cambodian people with HIV. OBJECTIVE: This 2-group randomized controlled trial compares the efficacy of a mobile health-based automated messaging (AM) intervention versus standard care (SC) in facilitating smoking cessation among Cambodian people with HIV. METHODS: Cambodian people with HIV who currently smoke and are receiving antiretroviral treatment (target, N=800) will be randomized to (1) SC or (2) the AM intervention. SC participants will receive brief advice to quit smoking, written self-help materials, nicotine patches, and will complete weekly app-delivered dietary assessments for 26 weeks. AM participants will receive all SC components (but will complete smoking-related weekly assessments instead of dietary assessments), in addition to a fully automated tailored messaging program driven by the weekly assessments to facilitate smoking cessation. In the Phase-Based Model of smoking cessation, the cessation process is partitioned into 4 phases: motivation, preparation (precessation), cessation (quit date to 2 weeks post quit), and maintenance (up to 6 months post quit). Our AM program targets processes within these phases, including increasing motivation to quit, enhancing self-efficacy, obtaining social support, skills to cope with nicotine withdrawal symptoms and stress, and skills to maintain abstinence. All participants will complete baseline and 3-, 6-, and 12-month in-person follow-up assessments. The primary outcome is biochemically confirmed abstinence at 12 months, with 3- and 6-month abstinence as secondary outcomes. Potential mediators and moderators underlying treatment effects will be explored, and cost-effectiveness will be assessed. RESULTS: This study was approved by all relevant domestic and international institutional and ethical review boards. Participant recruitment commenced in January 2023. Data collection is expected to conclude by the end of 2025. CONCLUSIONS: By demonstrating the greater efficacy and cost-effectiveness of AM relative to SC, this study has the potential to transform HIV care in Cambodia and prevent tobacco-related diseases. Furthermore, it may be adapted for use in other Cambodian populations and in other low- and middle-income countries. Ultimately, the AM approach to smoking cessation could greatly improve public health in the developing world and beyond. TRIAL REGISTRATION: ClinicalTrials.gov NCT05746442; https://clinicaltrials.gov/ct2/show/NCT05746442. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/48923.
ABSTRACT
In the United States, approximately 580,000 individuals were homeless on a single night in 2020. Homelessness can be categorized into three subgroups: sheltered homeless, unsheltered homeless, and unstably housed. Few studies have examined the relations between homelessness subtypes, shelter service utilization, levels of stress experienced, and health risk factors. This study aimed to empirically examine whether shelter status the previous night was related to current stress, recent utilization of shelter-based mental health services, and current health risk factors. Data were collected at multiple homeless shelters in 2016 in the Oklahoma City area (N=575). All participants completed assessments of demographic characteristics, including age, sex, race, marital status, years of education, and incarceration history and victimization. Multiple linear and logistic regression analyses were conducted to examine relations between homelessness subgroups and outcomes (shelter-based service utilization, health risk factors, and stressors). Results indicated that the sheltered group was younger and more likely to be White than the unsheltered group, had higher levels of education, and reported more lifetime months in jail than the unstably housed group. In addition, unsheltered homeless and unstably housed adults used fewer shelter-based health services, exhibited more health risk factors, experienced greater levels of stress, and had higher levels of food insecurity than sheltered homeless adults. Homeless adults who reside at shelters benefit most from available shelter services. The development of policies and programs targeted toward increasing sheltering options for unsheltered and unstably housed adults is needed.
ABSTRACT
This study focuses on smoking-cessation strategies for United States (US) Vietnamese individuals, a group with high smoking rates, particularly those with limited English proficiency (LEP). The researchers conducted 16 in-depth interviews with a diverse group of participants, including healthcare professionals, community leaders, and former tobacco users. Data were analyzed using the Phase-Based Model of smoking cessation, resulting in several helpful strategies across the four phases: Motivation, Preparation, Cessation, and Maintenance. Prominent advice for the Motivation Phase included having a strong determination to quit and a reason why, such as protecting loved ones. For the Preparation and Cessation Phases, participants recommended healthy coping mechanisms, avoiding triggers, changing habits, and gradually reducing the number of cigarettes smoked. In the Maintenance Phase, strategies included regular exercise and setting boundaries with other people who smoke. Participants also stressed the importance of social support throughout all four phases. These findings have implications for healthcare providers working with US Vietnamese who smoke, especially those with LEP. By understanding the unique challenges this group faces in accessing smoking-cessation resources, providers can offer tailored support and guidance. Ultimately, this study provides useful strategies for helping US Vietnamese quit smoking, improving their health outcomes and quality of life.