Introduction

Women frequently quit smoking during pregnancy but then relapse postpartum. The BABY & ME-Tobacco Free program combines prenatal and postpartum smoking cessation counseling and biomarker feedback with monthly postpartum incentives. The settings included 22 sites (WIC offices and prenatal clinics) in upstate New York. A quasi-experimental design was used to evaluate this intervention, that included four face-to-face prenatal sessions with a counselor who did smoking cessation counseling, carbon monoxide testing and random saliva cotinine testing. For 1 year postpartum, mothers were biochemically tested every 3-4 weeks and, if negative, were issued a voucher for diapers. Three implementation models were studied: multi-tasking counselors at fixed sites (Models 1 and 2) versus itinerant smoking cessation specialists (Model 3). Outcomes included biochemically validated abstinence rates during pregnancy and postpartum. Logistic regression was used to identify predictors of postpartum abstinence and program dropout. Proportional hazards regression was used to compare implementation models. Of the 777 pregnant women who enrolled in the program, 588 were eligible for the postpartum program. The intention to treat pregnancy quit rate was 60%. Postpartum, Model 3 showed consistently better quit outcomes than the other models. Predictors of abstinence at 6 months postpartum are: older age (OR = 1.07, 95% C.I. 1.02-1.12), lower baseline carbon monoxide level (OR = 0.69, 95% C.I. 0.49-0.97), Model 3 (OR = 4.60, 95% C.I. 2.80-7.57) and attending more prenatal sessions (OR = 3.52; 95% C.I. 2.19-5.65). The BABY & ME-Tobacco Free program is an effective smoking cessation program for pregnant and parenting women.

No abstract

We validated three single-item measures for emotional exhaustion (EE) and depersonalization (DP) among rural physician/nonphysician practitioners. We linked cross-sectional survey data (on provider demographics, satisfaction, resilience, and burnout) with administrative information from an integrated health care network (1 academic medical center, 6 community hospitals, 31 clinics, and 19 school-based health centers) in an eight-county underserved area of upstate New York. In total, 308 physicians and advanced-practice clinicians completed a self-administered, multi-instrument questionnaire (65.1% response rate). Significant proportions of respondents reported high EE (36.1%) and DP (9.9%). In multivariable linear mixed models, scores on EE/DP subscales of the Maslach Burnout Inventory were regressed on each single-item measure. The Physician Work-Life Study's single-item measure (classifying 32.8% of respondents as burning out/completely burned out) was correlated with EE and DP (Spearman's ρ = .72 and .41, p < .0001; Kruskal-Wallis χ(2) = 149.9 and 56.5, p < .0001, respectively). In multivariable models, it predicted high EE (but neither low EE nor low/high DP). EE/DP single items were correlated with parent subscales (Spearman's ρ = .89 and .81, p < .0001; Kruskal-Wallis χ(2) = 230.98 and 197.84, p < .0001, respectively). In multivariable models, the EE item predicted high/low EE, whereas the DP item predicted only low DP. Therefore, the three single-item measures tested varied in effectiveness as screeners for EE/DP dimensions of burnout.

Background Dog ownership has been associated with increased physical activity in children which in turn may mitigate childhood obesity. Objective To measure the association between child-dog attachment and child physical activity and screen time. Methods Cross-sectional study including 370 children (ages 4-10) who had pet dogs in the home. Parents completed the DartScreen, a web-based screener, before a well-child visit. Screener domains included child body mass index (BMI), physical activity, screen time and dog-related questions. The Companion Animal Bonding Scale (CABS) was used to measure child attachment to the dog. Clinic nurses weighed and measured the children. Associations between CABS, BMI z-score, screen time and physical activity were estimated. Results CABS was strongly associated with time spent being active with the dog (F=22.81, p<0.0001), but not with BMI z-score or screen time. Conclusions A higher level of child attachment to a pet dog is associated with increased child physical activity.

Objective. To investigate the factors associated with resilience among medical professionals. Data Sources/Study Setting. Administrative information from a rural health care network (1 academic medical center, 6 hospitals, 31 clinics, and 20 school health centers) was triangulated with self-report data from 308 respondents (response rate = 65.1 percent) to a 9/2013-1/2014 survey among practitioners serving a nine-county 5,600-square-mile area. Study Design. A cross-sectional questionnaire survey comprising valid measures of resilience, practice meaningfulness, satisfaction, and risk/uncertainty intolerance, nested within a prospective, community-based project. Data Collection/Extraction Methods. The sampling frame included practitioners on institutional payroll, excluding voluntary/involuntary attritions and advisory board/research team members. In multivariable mixed-effects models, we regressed full-range and high-/low-resilience scores on demographics, professional satisfaction, workplace needs, risk/uncertainty intolerance, and service unit characteristics. Principal Findings. Relational needs, uncertainty intolerance, satisfaction ≥75 percent of the time, number of practitioners on a unit, and workload were significantly associated with resilience. Higher scores were most strongly associated with uncertainty tolerance, satisfaction, and practitioner numbers. Practitioner/unit demographics were mostly nonsignificant. Conclusions. More resilient practitioners experienced frequent satisfaction, relational needs gratification, better uncertainty tolerance, lighter workloads, and practiced on units with more colleagues. Further studies should investigate well-being interventions based on these mutable factors.

ObjectivesTo contrast the validity of two modes of self-reported height and weight data.DesignSubjects’ self-reported height and weight by mailed survey without expectation of subsequent measurement. Subjects were later offered a physical exam, where they self-reported their height and weight again, just prior to measurement. Regression equations to predict actual from self-reported body mass index (BMI) were fitted for both sets of self-reported values. Residual analyses assessed bias resulting from application of each regression equation to the alternative mode of self-report. Analyses were stratified by gender.SettingUpstate New York.ParticipantsSubjects (n = 260) with survey, pre-exam and measured BMI.Main outcome measuresPrevalence of obesity based on two modes of self-report and also measured values. Bias resulting from misapplication of correction equations.ResultsAccurate prediction of measured BMI was possible for both self-report modes for men (R 2 = 0.89 survey, 0.85 pre-exam) and women (R 2 = 0.92 survey, 0.97 pre-exam). Underreporting of BMI was greater for survey than pre-exam but only significantly so in women. Obesity prevalence was significantly underestimated by 10.9% (p < 0.001) and 14.9% (p < 0.001) for men and 5.4% (p = 0.007) and 11.2% (p < 0.001) for women, for pre-exam and survey, respectively. Residual analyses showed that significant bias results when a regression model derived from one mode of self-report is used to correct BMI values estimated from the alternative mode.ConclusionsBoth modes significantly underestimated obesity prevalence. Underestimation of actual BMI is greater for survey than pre-exam self-report for both genders, indicating that equations adjusting for self-report bias must be matched to the self-report mode.

BackgroundWidespread dissatisfaction among United States (U.S.) clinicians could endanger ongoing reforms. Practitioners in rural/underserved areas withstand stressors that are unique to or accentuated in those settings. Medical professionals employed by integrating delivery systems are often distressed by the cacophony of organizational change(s) that such consolidation portends. We investigated the factors associated with dis/satisfaction with rural practice among doctors/non-physician practitioners employed by an integrated healthcare delivery network serving 9 counties of upstate New York, during a time of organizational transition.MethodsWe linked administrative data about practice units with cross-sectional data from a self-administered multi-dimensional questionnaire that contained practitioner demographics plus valid scales assessing autonomy/relatedness needs, risk aversion, tolerance for uncertainty/ambiguity, meaningfulness of patient care, and workload. We targeted medical professionals on the institutional payroll for inclusion. We excluded those who retired, resigned or were fired during the study launch, plus members of the advisory board and research team. Fixed-effects beta regressions were performed to test univariate associations between each factor and the percent of time a provider was dis/satisfied. Factors that manifested significant fixed effects were entered into multivariate, inflated beta regression models of the proportion of time that practitioners were dis/satisfied, incorporating clustering by practice unit as a random effect.ResultsOf the 473 eligible participants. 308 (65.1 %) completed the questionnaire. 59.1 % of respondents were doctoral-level; 40.9 % mid-level practitioners. Practitioners with heavier workloads and/or greater uncertainty intolerance were less likely to enjoy top-quintile satisfaction; those deriving greater meaning from practice were more likely. Higher meaningfulness and gratified relational needs increased one’s likelihood of being in the lowest quintile of dissatisfaction; heavier workload and greater intolerance of uncertainty reduced that likelihood. Practitioner demographics and most practice unit characteristics did not manifest any independent effect.ConclusionsMutable factors, such as workload, work meaningfulness, relational needs, uncertainty/ambiguity tolerance, and risk-taking attitudes displayed the strongest association with practitioner satisfaction/dissatisfaction, independent of demographics and practice unit characteristics. Organizational efforts should be dedicated to a redesign of group-employment models, including more equitable division of clinical labor, building supportive peer networks, and uncertainty/risk tolerance coaching, to improve the quality of work life among rural practitioners.