Peer Texting to Promote Quitline Use and Smoking Cessation Among Rural Participants in Vietnam: Randomized Clinical Trial.

Objectives: We tested an adapted version of an effective U.S.-based peer-texting intervention to promote Quitline use and smoking cessation among rural participants in Vietnam. Methods: We conducted a two-arm randomized trial with participants recruited at four rural community centers. The intervention included peer messages sent for six months that promoted Quitline use and smoking cessation. Additionally, biweekly two-way text messages assessed participants' interest in Quitline referral and current smoking status. Comparison participants received only the bi-weekly text message assessment of their current smoking status. At six months, we assessed Quitline use and smoking cessation. Smoking cessation was assessed using the 7-day point prevalence question and verified with a carbon monoxide breath monitor (<=6 ppm). Results: Among 750 participants, the intervention had higher Quitline verified use (18%, 95% CI 0.14, 0.22) than comparison (1%, 95% CI .2, 2, p < 0.0001). Carbon-monoxide-verified smoking cessation did not differ between the two groups. However, intervention (28.3%, 95% CI) and comparison (28.1%, 95% CI) participants had substantial rates of carbon monoxide cessation at 6 months (both 28%). Conclusion: Our study highlighted the promise of texting interventions to extend tobacco control efforts in Vietnam.

Association of perinatal depression and postpartum contraception intent, choice, and actual use.

OBJECTIVES: Depression is common during pregnancy and the year following childbirth (the perinatal period). This study assessed the association of depressive symptoms and contraception decisions in perinatal individuals. STUDY DESIGN: We conducted a secondary analysis using data from the PRogram in Support of Moms (PRISM) study, a cluster randomized controlled trial of active interventions which aimed to address perinatal depression. This analysis included 191 individuals aged 18-45 who screened positive for depression on the Edinburgh Postnatal Depression Scale (EPDS, score ≥10) during pregnancy or up to 3 months postpartum. We assessed contraception intent and method choice at 1-3 months postpartum. At 5-7 months postpartum, we assessed contraceptive method used and EPDS depression scores. We used logistic regressions to examine the relationship between depression and contraceptive use/method. RESULTS: At 1-3 months postpartum, the majority of participants (76.4%) expressed an intention to use contraception. Of those, over half (53.4%) indicated a preference for higher effectiveness contraception methods. Participants with persistent depression symptoms (positive EPDS) at 5-7 months were significantly less likely to report using higher effectiveness contraceptive methods (aOR = 0.28, 95% CI = 0.11-0.70) compared to those without. Among participants with persistent depressive symptoms, 21.1% reported using a contraception method of lower effectiveness than had originally intended. CONCLUSION: Perinatal individuals with persistent depressive symptoms at 5-7 months postpartum reported greater use of less-effective contraception methods than originally planned. IMPLICATIONS: We found associations between perinatal depression and use of less effective contraception use. Provider discussions regarding contraception planning is important, particularly in those with perinatal depression symptoms.

Examining racial/ethnic inequities in treatment participation among perinatal individuals with depression.

OBJECTIVE: A cluster randomized controlled trial (RCT) of two interventions for addressing perinatal depression treatment in obstetric settings was conducted. This secondary analysis compared treatment referral and participation among Minoritized perinatal individuals compared to their non-Hispanic white counterparts. METHODS: Among perinatal individuals with depression symptoms, we examined rates of treatment 1) referral (i.e., offered medications or referred to mental health clinician), 2) initiation (i.e., attended ≥1 mental health visit or reported prescribed antidepressant medication), and 3) sustainment (i.e., attended >1 mental health visit per study month or prescribed antidepressant medication at time of study interviews). We compared non-Hispanic white (NHW) (n = 149) vs. Minoritized perinatal individuals (Black, Asian, Hispanic/Latina, Pacific Islander, Native American, Multiracial, and white Hispanic/Latina n = 157). We calculated adjusted odds ratios (aOR) for each outcome. RESULTS: Minoritized perinatal individuals across both interventions had significantly lower odds of treatment referral (aOR = 0.48;95% CI = 0.27-0.88) than their NHW counterparts. There were no statistically significant differences in the odds of treatment initiation (aOR = 0.64 95% CI:0.36-1.2) or sustainment (aOR = 0.54;95% CI = 0.28-1.1) by race/ethnicity. CONCLUSIONS: Perinatal mental healthcare inequities are associated with disparities in treatment referrals. Interventions focusing on referral disparities across race and ethnicity are needed.

Examining Race-Based and Gender-Based Discrimination, Trust in Providers, and Mental Well-Being Among Black Women.

OBJECTIVES: To examine experiences of discrimination among Black women, and to determine if experiencing race- and gender-based discrimination is associated with mental well-being and trust. METHODS: Data from the TRUST study were used to examine experiences of discrimination among 559 Black women with hypertension receiving healthcare at a safety-net hospital in Birmingham, Alabama. A three-level variable was constructed to combine the race-based and gender-based measures of the Experiences of Discrimination scale. Linear regression was used to examine the association between experiences of discrimination with mental well-being and trust. RESULTS: Women who reported no experiences of race- or gender-based discrimination were older and reported higher mental well-being scores and greater trust. Fifty-three percent of study participants reported experiencing discrimination. Compared to participants who did not experience race- or gender-based discrimination, participants reporting experiences of race- or gender-based discrimination and those reporting experiencing both race- and gender-based discrimination were more likely to report poorer mental health. CONCLUSION: Reported experiences of gender- and/or race-based discrimination in this study were associated with lower mental health scores and less trust in health care providers. Our findings highlight the importance of examining experiences of discrimination among Black women, and the role of discrimination as a stressor and in reducing trust for providers. Incorporating an understanding and acknowledgement of experiences of discrimination into interventions, programs, and during clinical encounters may foster more trusting relationships between providers and patients.

Strengthening Quality Measurement to Predict Success for Total Knee Arthroplasty: Results from a Nationally Representative Total Knee Arthroplasty Cohort.

BACKGROUND: When performed well on appropriate patients, total knee arthroplasty (TKA) can dramatically improve quality of life. Patient-reported outcome measures (PROMs) are increasingly used to measure outcome following TKA. Accurate prediction of improvement in PROMs after TKA potentially plays an important role in judging the surgical quality of the health-care institutions as well as informing preoperative shared decision-making. Starting in 2027, the U.S. Centers for Medicare & Medicaid Services (CMS) will begin mandating PROM reporting to assess the quality of TKAs. METHODS: Using data from a national cohort of patients undergoing primary unilateral TKA, we developed an original model that closely followed a CMS-proposed measure to predict success, defined as achieving substantial clinical benefit, specifically at least a 20-point improvement on the Knee injury and Osteoarthritis Outcome Score, Joint Arthroplasty (KOOS, JR) at 1 year, and an enhanced model with just 1 additional predictor: the baseline KOOS, JR. We evaluated each model's performance using the area under the receiver operator characteristic curve (AUC) and the ratio of observed to expected (model-predicted) outcomes (O:E ratio). RESULTS: We studied 5,958 patients with a mean age of 67 years; 63% were women, 93% were White, and 87% were overweight or obese. Adding the baseline KOOS, JR improved the AUC from 0.58 to 0.73. Ninety-four percent of those in the top decile of predicted probability of success under the enhanced model achieved success, compared with 34% in its bottom decile. Analogous numbers for the original model were less discriminating: 77% compared with 57%. Only the enhanced model predicted success accurately across the spectrum of baseline scores. The findings were virtually identical when we replicated these analyses on only patients ≥65 years of age. CONCLUSIONS: Adding a baseline knee-specific PROM score to a quality measurement model in a nationally representative cohort dramatically improved its predictive power, eliminating ceiling and floor effects and mispredictions for readily identifiable patient subgroups. The enhanced model neither favors nor discourages care for those with greater knee dysfunction and requires no new data collection. LEVEL OF EVIDENCE: Prognostic Level II . See Instructions for Authors for a complete description of levels of evidence.

Effectiveness of two systems-level interventions to address perinatal depression in obstetric settings (PRISM): an active-controlled cluster-randomised trial.

BACKGROUND: Perinatal depression is a common and undertreated condition, with potential deleterious effects on maternal, obstetric, infant, and child outcomes. We aimed to compare the effectiveness of two systems-level interventions in the obstetric setting-the Massachusetts Child Psychiatry Access Program (MCPAP) for Moms and the PRogram In Support of Moms (PRISM)-in improving depression symptoms and participation in mental health treatment among women with perinatal depression. METHODS: In this cluster-randomised, active-controlled trial, obstetric practices across Massachusetts (USA) were allocated (1:1) via covariate adaptive randomisation to either continue participating in the MCPAP for Moms intervention, a state-wide, population-based programme, or to participate in the PRISM intervention, which involved MCPAP for Moms plus a proactive, multifaceted, obstetric practice-level intervention with intensive implementation support. English-speaking women (aged ≥18 years) who screened positive for depression (Edinburgh Postnatal Depression Scale [EPDS] score ≥10) were recruited from the practices. Patients were followed up at 4-25 weeks of gestation, 32-40 weeks of gestation, 0-3 months postpartum, 5-7 months postpartum, and 11-13 months postpartum via telephone interview. Participants were masked to the intervention; investigators were not masked. The primary outcome was change in depression symptoms (EPDS score) between baseline assessment and 11-13 months postpartum. Analysis was done by intention to treat, fitting generalised linear mixed models adjusting for age, insurance status, education, and race, and accounting for clustering of patients within practices. This trial is registered with ClinicalTrials.gov, NCT02760004. FINDINGS: Between July 29, 2015, and Sept 20, 2021, ten obstetric practices were recruited and retained; five (50%) practices were randomly allocated to MCPAP for Moms and five (50%) to PRISM. 1265 participants were assessed for eligibility and 312 (24·7%) were recruited, of whom 162 (51·9%) were enrolled in MCPAP for Moms practices and 150 (48·1%) in PRISM practices. Comparing baseline to 11-13 months postpartum, EPDS scores decreased by 4·2 (SD 5·2; p<0·0001) among participants in MCPAP for Moms practices and by 4·3 (SD 4.5; p<0·0001) among those in PRISM practices (estimated difference between groups 0·1 [95% CI -1·2 to 1·4]; p=0·87). INTERPRETATION: Both the MCPAP for Moms and PRISM interventions were equally effective in improving depression symptoms. This finding is important because the 4-point decrease in EPDS score is clinically significant, and MCPAP for Moms has a lower intensity and greater population-based reach than does PRISM. FUNDING: US Centers for Disease Control and Prevention.

Paying for Medical and Social Complexity in Massachusetts Medicaid.

Importance: The first MassHealth Social Determinants of Health payment model boosted payments for groups with unstable housing and those living in socioeconomically stressed neighborhoods. Improvements were designed to address previously mispriced subgroups and promote equitable payments to MassHealth accountable care organizations (ACOs). Objective: To develop a model that ensures payments largely follow observed costs for members with complex health and/or social risks. Design, Setting, and Participants: This cross sectional study used administrative data for members of the Massachusetts Medicaid program MassHealth in 2016 or 2017. Participants included members who were eligible for MassHealth's managed care, aged 0 to 64 years, and enrolled for at least 183 days in 2017. A new total cost of care model was developed and its performance compared with 2 earlier models. All models were fit to 2017 data (most recent available) and validated on 2016 data. Analyses were begun in February 2019 and completed in January 2023. Exposures: Model 1 used age-sex categories, a diagnosis-based morbidity relative risk score (RRS), disability, serious mental illness, substance use disorder, housing problems, and neighborhood stress. Model 2 added an interaction for unstable housing with RRS. Model 3 added rurality and updated diagnosis-based RRS, medication-based RRS, and interactions between sociodemographic characteristics and morbidity. Main Outcome and Measures: Total 2017 annual cost was modeled and overall model performance (R2) and fair pricing of subgroups evaluated using observed-to-expected (O:E) ratios. Results: Among 1 323 424 members, mean (SD) age was 26.4 (17.9) years, 53.4% were female (46.6% male), and mean (SD) 2017 cost was $5862 ($15 417). The R2 for models 1, 2, and 3 was 52.1%, 51.5%, and 60.3%, respectively. Earlier models overestimated costs for members without behavioral health conditions (O:E ratios 0.94 and 0.93 for models 1 and 2, respectively) and underestimated costs for those with behavioral health conditions (O:E ratio >1.10); model 3 O:E ratios were near 1.00. Model 3 was better calibrated for members with housing problems, those with children, and those with high morbidity scores. It reduced underpayments to ACOs whose members had high medical and social complexity. Absolute and relative model performance were similar in 2016 data. Conclusions and Relevance: In this cross-sectional study of data from Massachusetts Medicaid, careful modeling of social and medical risk improved model performance and mitigated underpayments to safety-net systems.

Effects of Teacher Training and Continued Support on the Delivery of an Evidence-Based HIV Prevention Program: Findings From a National Implementation Study in the Bahamas.

BACKGROUND: Few studies have investigated the effects of teacher training and continued support on teachers' delivery of evidence-based HIV prevention programs. We examined these factors in a national implementation study of an evidence-based HIV risk reduction intervention for adolescents in the sixth grade in the Bahamas. METHODS: Data were collected from 126 grade 6 teachers and 3,118 students in 58 government elementary schools in the Bahamas in 2019-2021. This is a Hybrid Type III implementation study guided by the Exploration, Preparation, Implementation, Sustainment (EPIS) model. Teachers attended 2-day training workshops. Trained school coordinators and peer mentors provided biweekly monitoring and mentorship. We used mixed-effects models to assess the effects of teacher training and continued support on implementation fidelity. RESULTS: Teachers who received training in-person or both in-person and online taught the most core activities (27.0 and 27.2 of 35), versus only online training (21.9) and no training (14.9) (F = 15.27, p < .001). Teachers with an "excellent" or "very good" school coordinator taught more core activities than those with a "satisfactory" coordinator or no coordinator (29.2 vs. 27.8 vs. 19.3 vs. 14.8, F = 29.20, p < .001). Teachers with a "very good" mentor taught more core activities and sessions than those with a "satisfactory" mentor or no mentor (30.4 vs. 25.0 vs. 23.1; F = 7.20; p < .01). Teacher training, implementation monitoring, peer mentoring, teachers' self-efficacy, and school-level support were associated with implementation fidelity, which in turn was associated with improved student outcomes (HIV/AIDS knowledge, preventive reproductive health skills, self-efficacy, and intention to use protection). CONCLUSION: Teachers receiving in-person training and those having higher-rated school coordinator and mentor support taught a larger number of HIV prevention core activities. Effective teacher training, implementation monitoring, and peer mentoring are critical for improving implementation fidelity and student outcomes.

A multi-step approach to develop a "storytelling" intervention to improve patient gout knowledge and improve outpatient follow-up.

Background: "Storytelling" interventions influence knowledge, attitudes and behavior to promote chronic disease management. We aimed to describe the development of a video "storytelling" intervention to increase gout knowledge and promote adherence to medications and follow-up care after an acute gout flare visit in the emergency department. Methods: We developed a direct-to-patient storytelling intervention to mitigate modifiable barriers to gout care and promote outpatient follow-up and medication adherence. We invited adult patients with gout as storytellers. We utilized a modified Delphi process involving gout experts to identify key themes to guide development of an intervention. Using a conceptual model, we selected stories to ensure delivery of evidence-based concepts and to maintain authenticity. Results: Our video-based storytelling intervention consisted of segments addressing modifiable barriers to gout care. Four diverse gout patients were recruited as storytellers and interviewed with questions that covered gout diagnosis and care. Eleven international gout experts from diverse geographic locations generated and ranked items they considered important messages to promote outpatient gout care follow-up and treatment adherence. Filmed videos were truncated into segments and coded thematically. Distinct segments that captured desired messages were combined to form a cohesive narrative story based on gout patient experiences that conveyed evidence-based strategies to manage gout. Conclusions: Using the Health Belief Model, we developed a culturally appropriate narrative intervention containing "storytelling" that can be tested as an approach to improve gout outcomes. The methods we describe may be generalizable to other chronic conditions requiring outpatient follow-up and medication adherence to improve outcomes.

Effectiveness of using a patient education mobile application to improve the quality of bowel preparation: a randomised controlled trial.

AIMS: To determine the effectiveness of a mobile application (app) in improving the quality of bowel preparation for colonoscopy. METHOD: An endoscopist-blinded randomised controlled trial enrolled patients who were undergoing a colonoscopy on the same day of bowel preparation. The intervention used a Vietnamese mobile app that provides instructions on bowel preparation while patients in the comparison group received conventional instructions. Outcomes included the Boston Bowel Preparation Scale (BBPS) to assess the quality of bowel preparation and the polyp detection rate (PDR) and adenoma detection rate (ADR). RESULTS: The study recruited 515 patients (256 in the intervention group). The median age was 42 years, 50.9% were females, 69.1% high school graduates and higher, and 45.2% from urban area. Patients in the intervention group had higher adherence to instructions (60.9% vs 52.4%, p=0.05) and longer length of taking laxatives (mean difference 0.17 hours, 95% CI 0.06 to 0.27). The intervention did not reduce the risk of poor bowel cleansing (total BBPS<6) in both overall (7.4% vs 7.7%; risk ratio 0.96, 95% CI 0.53 to 1.76) and subgroup analysis. PDR and ADR were similar between the two groups. CONCLUSIONS: The mobile app providing instructions on proper bowel preparation improved the practice during bowel preparation but did not improve the quality of bowel cleansing or PDR.

Esophageal Mucosal Admittance: A New Technique to Diagnose Gastroesophageal Reflux Disease - Is It Feasible?

Purpose: Esophageal mucosal admittance (MA) is a promising diagnostic method for gastroesophageal reflux disease (GERD). We conducted a study to describe the esophageal MA in patients with reflux symptoms and determine its diagnostic accuracy. Patients and Methods: We recruited 92 patients with ambulatory pH-impedance monitoring, upper gastrointestinal endoscopy, and MA measured by the tissue conductance meter. MA was measured during endoscopy at 5cm (distal esophagus) and 15cm above the Z line (middle esophagus), repeated at least five times at each position, and median MA was obtained. Afterwards, two biopsies were taken 5cm above the Z line for histopathological evaluation using the Esohisto criteria. Patients were classified as GERD or non-GERD according to the 2018 Lyon consensus. Results: The mean age was 43.2 years, and 42 patients were males. The most common symptoms were regurgitation (75.0%), belching (65.2%), and heartburn (46.7%). Twenty-three (32.3%) were diagnosed with GERD using the Lyon consensus, and 24 (26.1%) had esophagitis on histopathology. The median MA at the distal and middle esophagus was moderately correlated. The median MA at both positions was higher in the GERD group but only statistically significant in the middle esophagus. MA was not associated with pH-impedance parameters and esophagitis on histopathology. The diagnostic model developed using the logistic regression did not have good accuracy. Conclusion: MA was not different between GERD and non-GERD patients.

Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial.

Importance: Novel data science and marketing methods of smoking-cessation intervention have not been adequately evaluated. Objective: To compare machine learning recommender (ML recommender) computer tailoring of motivational text messages vs a standard motivational text-based intervention (standard messaging) and a viral peer-recruitment tool kit (viral tool kit) for recruiting friends and family vs no tool kit in a smoking-cessation intervention. Design, Setting, and Participants: This 2 ×2 factorial randomized clinical trial with partial allocation, conducted between July 2017 and September 2019 within an online tobacco intervention, recruited current smokers aged 18 years and older who spoke English from the US via the internet and peer referral. Data were analyzed from March through May 2022. Interventions: Participants registering for the online intervention were randomly assigned to the ML recommender or standard messaging groups followed by partially random allocation to access to viral tool kit or no viral tool kit groups. The ML recommender provided ongoing refinement of message selection based on user feedback and comparison with a growing database of other users, while the standard system selected messages based on participant baseline readiness to quit. Main Outcomes and Measures: Our primary outcome was self-reported 7-day point prevalence smoking cessation at 6 months. Results: Of 1487 participants who smoked (444 aged 19-34 years [29.9%], 508 aged 35-54 years [34.1%], 535 aged ≥55 years [36.0%]; 1101 [74.0%] females; 189 Black [12.7%] and 1101 White [78.5%]; 106 Hispanic [7.1%]), 741 individuals were randomly assigned to the ML recommender group and 746 individuals to the standard messaging group; viral tool kit access was provided to 745 participants, and 742 participants received no such access. There was no significant difference in 6-month smoking cessation between ML recommender (146 of 412 participants [35.4%] with outcome data) and standard messaging (156 of 389 participants [40.1%] with outcome data) groups (adjusted odds ratio, 0.81; 95% CI, 0.61-1.08). Smoking cessation was significantly higher in viral tool kit (177 of 395 participants [44.8%] with outcome data) vs no viral tool kit (125 of 406 participants [30.8%] with outcome data) groups (adjusted odds ratio, 1.48; 95% CI, 1.11-1.98). Conclusions and Relevance: In this study, machine learning-based selection did not improve performance compared with standard message selection, while viral marketing did improve cessation outcomes. These results suggest that in addition to increasing dissemination, viral recruitment may have important implications for improving effectiveness of smoking-cessation interventions. Trial Registration: ClinicalTrials.gov Identifier: NCT03224520.

Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning.

Interventions to teach protective behaviors may be differentially effective within an adolescent population. Identifying the characteristics of youth who are less likely to respond to an intervention can guide program modifications to improve its effectiveness. Using comprehensive longitudinal data on adolescent risk behaviors, perceptions, sensation-seeking, peer and family influence, and neighborhood risk factors from 2564 grade 10-12 students in The Bahamas, this study employs machine learning approaches (support vector machines, logistic regression, decision tree, and random forest) to identify important predictors of non-responsiveness for precision prevention. We used 80% of the data to train the models and the rest for model testing. Among different machine learning algorithms, the random forest model using longitudinal data and the Boruta feature selection approach predicted intervention non-responsiveness best, achieving sensitivity of 85.4%, specificity of 78.4% and AUROC of 0.93 on the training data, and sensitivity of 84.3%, specificity of 67.1%, and AUROC of 0.85 on the test data. Key predictors include self-efficacy, perceived response cost, parent monitoring, vulnerability, response efficacy, HIV/AIDS knowledge, communication about condom use, and severity of HIV/STI. Machine learning can yield powerful predictive models to identify adolescents who are unlikely to respond to an intervention. Such models can guide the development of alternative strategies that may be more effective with intervention non-responders.

Clinical symptoms, endoscopic findings, and lower esophageal sphincter characteristics in patients with absent contractility.

Absent contractility is a rare esophageal motility disorder defined by high-resolution manometry which remains poorly understood in pathogenesis and management. We investigated the clinical symptoms, upper gastrointestinal endoscopy findings, and lower esophageal sphincter (LES) characteristics in adult patients diagnosed with absent contractility on high resolution manometry and factors associated with erosive esophagitis that were found on endoscopy in these patients. A cross-sectional study was conducted in patients with absent contractility who were examined at the Institute of Gastroenterology and Hepatology, Vietnam between March 2018 and December 2020. Clinical symptoms, endoscopic findings, and LES metrics were collected and compared between individuals with and without erosive esophagitis. Logistic regression analysis was used to examine a variety of factors associated with erosive esophagitis. Among 7519 patients who underwent high resolution manometry, 204 (2.7%) were diagnosed with absent contractility. The mean age of the study sample was 45.9 years, 65.7% were women, and none had systemic sclerosis. The most common symptoms were regurgitation, belching, epigastric pain, and bloating. On endoscopy, 50% had erosive esophagitis, mostly Los Angeles grade A (42.9%). On manometry, 44.6% of the patients had LES hypotension and 68.1% had low integrated relaxation pressure in 4 seconds (IRP4s). Male sex (adjusted odds ratio = 2.01, 95% confidence interval: 1.04-3.89) and an IRP4s < 5 mm Hg (adjusted odds ratio = 2.21, 95% confidence interval: 1.12-4.37) were significantly associated with erosive esophagitis. Absent contractility was present in many patients without known systemic diseases. Erosive esophagitis was common and associated with male sex and low IRP4s.

High prevalence of esophagitis in patients with severe ineffective esophageal motility: need for a new diagnostic cutoff.

Background: A new classification criterion for diagnosing ineffective esophageal motility (IEM) was proposed at the 2018 Stanford symposium, but limited data exists about the utility of this criterion. Methods: We conducted a cross-sectional study among 3826 patients treated at the Institute of Gastroenterology and Hepatology, Hanoi, Vietnam, between March 2018 and May 2020. Patients were classified as having normal motility, mild IEM, severe IEM, or absent contractility based on the Chicago classification version 3.0 and the new IEM criterion (severe IEM was defined as having >70% ineffective swallows). We examined the association between these 4 motility subgroups and the presence of erosive esophagitis and Barrett's esophagus, using multivariate logistic regression analysis. Results: The mean age of the study sample was 44.7 years and 66.3% were women. The prevalence of symptoms, hiatal hernia, and Helicobacter pylori-positive patients was similar in the 4 study groups. The 4-second integrated relaxation pressures and lower esophageal sphincter resting pressures were lower in patients with severe IEM and absent contractility. Severe IEM and absent contractility, but not mild IEM, were significantly associated with Los Angeles (LA) grade B-D esophagitis (relative risk ratio [RRR] for severe IEM 1.81, 95% confidence interval [CI] 1.17-2.80; and RRR for absent contractility 2.37, 95%CI 1.12-5.04). None of the hypomotility subgroups were associated with LA grade A esophagitis and Barrett's esophagus. Conclusions: Patients with severe IEM have a high prevalence of severe erosive esophagitis. These findings suggest the need for a more meaningful classification criterion for IEM.

Predictive algorithm to stratify newborns at-risk for child undernutrition in India: Secondary analysis of the National Family Health Survey-4.

Background: India is at the epicentre of global child undernutrition. Strategies to identify at-risk populations are needed in the context of limited resources. Methods: Data from children under the age of five surveyed in the 2015-2016 National Family Health Survey were used. Child undernutrition was assessed using anthropometric measurements. Predictor variables were identified from the extant literature and included if they could be measured at the time of delivery. Survey-weighted logistic regression was applied to model the outcome. Internal validation of the model was performed using 200 bootstrapped samples representing half of the total data sets. Results: In 2016, 54.4% (95% CI = 54.0%-54.8%) of Indian children were undernourished, according to a composite index of anthropometric failure. The predictive model for overall undernutrition included maternal (height, education, reproductive history, number of antenatal visits), child (sex, birthweight), and household characteristics (district of residence, caste, rural residence, toilet availability, presence of a separate kitchen). The model demonstrated reasonable discrimination ability (optimism-adjusted c = 0.67). The group of children classified in the lowest decile for risk of undernutrition had a prevalence of 25.9%, while the group classified in the highest decile had a prevalence of 77.4%. Conclusions: It is possible to stratify newborns at the time of delivery based on their risk for undernutrition in the first five years of life. The model developed by this study represents a first step in adopting a risk-score based approach for the most vulnerable population to receive services in a timely manner.

Association of trends in child undernutrition and implementation of the National Rural Health Mission in India: A nationally representative serial cross-sectional study on data from 1992 to 2015.

BACKGROUND: India launched the National Rural Health Mission (NRHM) in 2005 to strengthen its primary healthcare system in high-focus and northeast-focus states. One of the NRHM objectives was to reduce child undernutrition in India. METHODS AND FINDINGS: We used data from 1992, 1998, 2005, and 2015 National Family Health Survey (NFHS) of India to evaluate trends in child undernutrition prevalence before and after NRHM and across different categories of focus states. Stunting, Wasting, and Comprehensive Index of Anthropometric Failure (CIAF) were assessed using the World Health Organization (WHO) growth curves to assess chronic, acute, and overall undernutrition. The study included 187,452 children aged 3 years or under. Survey-weighted and confounder-adjusted average annualized reduction rates (AARRs) and predicted probability ratios were used to assess trends and socioeconomic disparities for child undernutrition, respectively. Nationwide, the prevalence of all types of undernutrition decreased from 1992 to 2015. However, the trends varied before and after NRHM implementation and differentially by focus states. After NRHM, acute undernutrition declined more rapidly among high-focus states (AARR 1.0%) but increased in normal-focus states (AARR -1.9% per year; p-value for the difference <0.001). In contrast, the prevalence of chronic undernutrition declined more rapidly (AARR 1.6%) in the normal-focus states in comparison to high-focus states (0.3%; p-value for the difference = 0.01). Income and caste-based disparities in acute undernutrition decreased but did not disappear after the implementation of the NRHM. However, similar disparities in prevalence of chronic undernutrition appear to be exacerbated after the implementation of the NRHM. Major limitations of this study include the observational and cross-sectional design, which preclude our ability to draw causal inferences. CONCLUSIONS: Our results suggests that NRHM implementation might be associated with improvement in wasting (acute) rather than stunting (chronic) forms of undernutrition. Strategies to combat undernutrition equitably, especially in high-focus states, are needed.

A review of harmonization methods for studying dietary patterns.

Data harmonization is the process by which each of the variables from different research studies are standardized to similar units resulting in comparable datasets. These data may be integrated for more powerful and accurate examination and prediction of outcomes for use in the intelligent and smart electronic health software programs and systems. Prospective harmonization is performed when researchers create guidelines for gathering and managing the data before data collection begins. In contrast, retrospective harmonization is performed by pooling previously collected data from various studies using expert domain knowledge to identify and translate variables. In nutritional epidemiology, dietary data harmonization is often necessary to construct the nutrient and food databases necessary to answer complex research questions and develop effective public health policy. In this paper, we review methods for effective data harmonization, including developing a harmonization plan, which common standards already exist for harmonization, and defining variables needed to harmonize datasets. Currently, several large-scale studies maintain harmonized nutrient databases, especially in Europe, and steps have been proposed to inform the retrospective harmonization process. As an example, data harmonization methods are applied to several U.S longitudinal diet datasets. Based on our review, considerations for future dietary data harmonization include user agreements for sharing private data among participating studies, defining variables and data dictionaries that accurately map variables among studies, and the use of secure data storage servers to maintain privacy. These considerations establish necessary components of harmonized data for smart health applications which can promote healthier eating and provide greater insights into the effect of dietary patterns on health.

Effect of Technology-Assisted Brief Abstinence Game on Long-term Smoking Cessation in Individuals Not Yet Ready to Quit: A Randomized Clinical Trial.

IMPORTANCE: Most trials of behavioral or pharmaceutical interventions for people who smoke are limited to individuals reporting they are ready to quit smoking. Engaging individuals who initially report they are not yet ready to quit in brief, precessation, skills-building interventions (eg, practice quit attempts or nicotine replacement therapy [NRT] sampling) is challenging. OBJECTIVE: To test an integrated behavioral plus NRT-sampling intervention using a gamification approach supported by mobile health. DESIGN, SETTING, AND PARTICIPANTS: A multisite randomized clinical trial with site-level 1-to-1 allocation into 2 conditions was conducted in 4 US health care systems. A total of 433 individuals who were currently smoking and reported at enrollment that they were not ready to quit smoking were enrolled. The study was conducted from November 7, 2016, to July 31, 2020. INTERVENTIONS: Take a Break (TAB) was a 3-week game experience and included 5 behavioral components (motivational messaging, challenge quizzes, brief abstinence goal setting, mobile health apps for cravings management, and reward points for participation) integrated with NRT sampling. TAB draws on social cognitive theory and game mechanics concepts to engage participants in health behavior change. The comparison included NRT sampling only. MAIN OUTCOMES AND MEASURES: Time to first quit attempt (duration from TAB experience to primary outcome) and carbon monoxide level-verified smoking cessation at 6-month follow-up. All analyses used an intention-to-treat approach. RESULTS: Of the 433 individuals included in the trial, 223 were women (52%); mean (SD) age was 54 (13) years. More than half (53% [112 of 213]) of the TAB participants completed 100% of the daily challenge quizzes in the first week, 73% (145 of 199) of participants who completed the goal-setting call set a brief abstinence goal (most frequently 1-2 days of abstinence from cigarettes), and 75% (159 of 213) of participants used the mobile health apps to manage nicotine cravings. Time to the first quit attempt was lower for the TAB vs comparison group (hazard ratio, 1.68; 95% CI, 1.09-2.60; P = .02). At the 6-month follow-up, 18% (28 of 160) of TAB participants and 10% (17 of 171) of the comparison (χ2 test, P = .045) participants obtained carbon monoxide level-verified smoking cessation (accounting for clustering of outcomes by site; odds ratio, 1.92; 95% CI, 1.01-3.68; P = .048). CONCLUSIONS AND RELEVANCE: The findings of this randomized clinical trial demonstrate that individuals not yet ready to quit smoking could be engaged in a brief abstinence game. Six months later, the TAB group had nearly double the rate of smoking cessation vs the NRT sampling comparison group. Integrating a skills-building game experience with brief NRT sampling can enhance long-term cessation among those not yet ready to quit smoking. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02973425.

Results of a Statewide Survey of Obstetric Clinician Depression Practices.

Purpose: Perinatal depression affects upwards of one in seven women and is associated with significant negative maternal and child consequences. Despite this, it remains under-detected and under-treated. We sought to identify clinician practices, self-efficacy, and remaining barriers to comprehensively addressing perinatal depression care. Materials and Methods: Surveys were administered to obstetric clinicians in Massachusetts that queried frequency of depression screening and Likert questions about subsequent depression management. Results: Approximately 79.0% of clinicians approached completed the survey. Whereas most clinicians (93.5%) screened for perinatal depression at 6 weeks postpartum, fewer clinicians (66.1%) screened during pregnancy. Most reported they were comfortable providing support to their patients (98.4%), but fewer endorsed being able to treat them on their own (43.0%). Most noted an ability to treat with antidepressants (77.9%); however, fewer endorsed adequate access to nonmedication treatment (45.5%). Conclusions: The majority of surveyed clinicians screen for depression consistent with guidelines. However, efforts are focused on the postpartum period, despite literature citing two-thirds of patients experiencing onset before or during pregnancy. Respondents indicated an ability to treat with medication management, while noting greater challenge with referral. These findings describe the challenges of interdisciplinary coordination as a barrier to comprehensive perinatal mental health care. Clinical Trial Registration Number: NCT02760004.