Objectives

Preventive health services are important for child development, and parents play a key role in facilitating access to services. This study examined how parents' reasons for not having a usual source of care were associated with their children's receipt of preventive services.

Methods

We used pooled data from the 2011-2014 National Health Interview Survey (n = 34 843 participants). Parents' reasons for not having a usual source of care were framed within the Penchansky and Thomas model of access and measured through 3 dichotomous indicators: financial barriers (affordability), attitudes and beliefs about health care (acceptability), and all other nonfinancial barriers (accessibility, accommodation, and availability). We used multivariable logistic regression models to test associations between parental barriers and children's receipt of past-year well-child care visits and influenza vaccinations, controlling for other child, family, and contextual factors.

Results

In 2014, 14.3% (weighted percentage) of children had at least 1 parent without a usual source of care. Children of parents without a usual source of care because they "don't need a doctor and/or haven't had any problems" or they "don't like, trust, or believe in doctors" had 35% lower odds of receiving well-child care (adjusted odds ratio = 0.65; 95% CI, 0.56-0.74) and 23% lower odds of receiving influenza vaccination (adjusted odds ratio = 0.77; 95% CI, 0.69-0.86) than children of parents without those attitudes and beliefs about health care. Financial and other nonfinancial parental barriers were not associated with children's receipt of preventive services. Results were independent of several factors relevant to children's access to preventive health care, including whether the child had a usual source of care.

Conclusions

Parents' attitudes and beliefs about having a usual source of care were strongly associated with their children's receipt of recommended preventive health services. Rates of receipt of child preventive services may be improved by addressing parents' attitudes and beliefs about having a usual source of care. Future studies should assess causes of these associations.

Few studies have examined the relative effectiveness of reinforcing versus aversive consequences at changing behavior in real-world environments. Real-time sensing devices makes it easier to investigate such questions, offering the potential to improve both intervention outcomes and theory. This research aims to describe the development of a real-time, operant theory-based secondhand smoke (SHS) intervention and compare the efficacy of aversive versus aversive plus reinforcement contingency systems. Indoor air particle monitors were placed in the households of 253 smokers for approximately three months. Participants were assigned to a measurement-only control group (N = 129) or one of the following groups: 1.) aversive only (AO, N = 71), with aversive audio/visual consequences triggered by the detection of elevated air particle measurements, or 2.) aversive plus reinforcement (AP, N = 53), with reinforcing consequences contingent on the absence of SHS added to the AO intervention. Residualized change ANCOVA analysis compared particle concentrations over time and across groups. Post-hoc pairwise comparisons were also performed. After controlling for Baseline, Post-Baseline daily particle counts (F = 6.42, p = 0.002), % of time >15,000 counts (F = 7.72, p < 0.001), and daily particle events (F = 4.04, p = 0.02) significantly differed by study group. Nearly all control versus AO/AP pair-wise comparisons were statistically significant. No significant differences were found for AO versus AP groups. The aversive feedback system reduced SHS, but adding reinforcing consequences did not further improve outcomes. The complexity of real-world environments requires the nuances of these two contingency systems continue to be explored, with this study demonstrating that real-time sensing technology can serve as a platform for such research.

Health interventions using real-time sensing technology are characterized by intensive longitudinal data, which has the potential to enable nuanced evaluations of individuals' responses to treatment. Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different intervention phases. This paper introduces an exploratory, Markov-based empirical transition method that offers a more comprehensive assessment of behavioral responses when intensive longitudinal data are available. The procedure projects a univariate time-series into discrete states and empirically determines the probability of transitioning from one state to another. State transition probabilities are summarized separately in phase-specific transition matrices. Comparing transition matrices illuminates intricate, quantifiable differences in behavior between intervention phases. Statistical significance is estimated via bootstrapping techniques. This paper introduces the methodology via three case studies from a secondhand smoke reduction trial utilizing real-time air particle sensors. Analysis enabled the identification of complex phenomena such as avoidance and escape behavior in response to punitive contingencies for tobacco use. Additionally, the largest changes in behavior dynamics were associated with the introduction of behavioral feedback. The Markov approach's ability to elucidate subtle behavioral details has not typically been feasible with standard methodologies, mainly due to historical limitations associated with infrequent repeated measures. These results suggest that the evaluation of intervention effects in data-intensive single-case designs can be enhanced, providing rich information that can ultimately be used to develop interventions uniquely tailored to specific individuals.

Children are at risk for adverse health outcomes from occupant-controllable indoor airborne contaminants in their homes. Data are needed to design residential interventions for reducing low-income children's pollutant exposure. Using customized air quality monitors, we continuously measured fine particle counts (0.5 to 2.5 microns) over a week in living areas of predominantly low-income households in San Diego, California, with at least one child (under age 14) and at least one cigarette smoker. We performed retrospective interviews on home characteristics, and particle source and ventilation activities occurring during the week of monitoring. We explored the relationship between weekly mean particle counts and interview responses using graphical visualization and multivariable linear regression (base sample n = 262; complete cases n = 193). We found associations of higher weekly mean particle counts with reports of indoor smoking of cigarettes or marijuana, as well as with frying food, using candles or incense, and house cleaning. Lower particle levels were associated with larger homes. We did not observe an association between lower mean particle counts and reports of opening windows, using kitchen exhaust fans, or other ventilation activities. Our findings about sources of fine airborne particles and their mitigation can inform future studies that investigate more effective feedback on residential indoor-air-quality and better strategies for reducing occupant exposures.

Background This study explores hypotheses linking church attendance to smoking prevalence, cessation, exposure to environmental tobacco smoke (ETS), and household smoking bans among Korean immigrants in California. Methods Data were drawn from telephone interviews with Korean adults (N = 2085) based on a probability sample during 2005–2006 in which 86% of those contacted completed interviews. Results Koreans who reported that they had attended church were less likely to be current smokers and to be exposed to ETS, and more likely to have quit smoking and to have a complete smoking ban than non-attenders after statistical controls for behavioral covariates. Discussion Whether or not participants reported attending church was associated with increased tobacco control practices. Public health interventions may profit by seeking to expand cooperation with religious congregations to facilitate efforts to promote healthy lifestyles among immigrant populations beyond the influences of church attendance.

Background

Previous secondhand smoke (SHS) reduction interventions have provided only delayed feedback on reported smoking behaviour, such as coaching, or presenting results from child cotinine assays or air particle counters.

Design

This SHS reduction trial assigned families at random to brief coaching and continuous real-time feedback (intervention) or measurement-only (control) groups.

Participants

We enrolled 298 families with a resident tobacco smoker and a child under age 14.

Intervention

We installed air particle monitors in all homes. For the intervention homes, immediate light and sound feedback was contingent on elevated indoor particle levels, and up to four coaching sessions used prompts and praise contingent on smoking outdoors. Mean intervention duration was 64 days.

Measures

The primary outcome was 'particle events' (PEs) which were patterns of air particle concentrations indicative of the occurrence of particle-generating behaviours such as smoking cigarettes or burning candles. Other measures included indoor air nicotine concentrations and participant reports of particle-generating behaviour.

Results

PEs were significantly correlated with air nicotine levels (r=0.60) and reported indoor cigarette smoking (r=0.51). Interrupted time-series analyses showed an immediate intervention effect, with reduced PEs the day following intervention initiation. The trajectory of daily PEs over the intervention period declined significantly faster in intervention homes than in control homes. Pretest to post-test, air nicotine levels, cigarette smoking and e-cigarette use decreased more in intervention homes than in control homes.

Conclusions

Results suggest that real-time particle feedback and coaching contingencies reduced PEs generated by cigarette smoking and other sources.

Trial registration number

NCT01634334; Post-results.