Project description:The burden of missed healthcare appointments is so great that even small reductions in Did Not Attend (DNA) rate can secure tangible benefits. Previous studies have identified demographic factors that predict DNA rate. However, it is not obvious that these insights can be used to improve attendance, as healthcare providers do not control patient demographics. One factor that providers do control is appointment scheduling. We previously reported that appointments at the beginning of the week are more likely to be missed than appointments at the end of the week. This observation suggests a simple intervention to reduce DNA rate: schedule appointments for later in the week. Using data from a UK mental health hospital, we compared attendance rates for 12-months before and 12-months after the intervention began (916 appointments in total). Overall DNA rate fell from 34.2% pre-intervention to 23.4% post-intervention [χ2 (1, N = 916) = 13.01, p < 0.001; Relative Risk Reduction, 31.6%]. This effect was carried mainly by female patients, for whom more appointments could be moved to later in the week. Our findings confirm that DNA rate can be significantly reduced by loading appointments onto high-attendance days.
Project description:BackgroundTobacco smoke exposure (TSE) and inappropriate sleep position/environments contribute to preventable infant deaths. The objective of our quality improvement (QI) program was to increase primary care provider (PCP) screening and counseling for TSE and safe sleep risks at well-child visits (WCVs) and to assess caregiver behavior changes at subsequent visits.MethodsPediatric practices, recruited from the Ohio Chapter, American Academy of Pediatrics' database, self-selected to participate in this TSE and safe sleep PCP QI program. At every WCV over a 10-month period, caregivers with children < 1 year old were to be screened and counseled by providers. Caregiver demographics, TSE, and safe sleep practices were assessed. Individual PCP results were paired with subsequent family screening tools at follow up visits to determine changes in TSE and safe sleep practices. Differences in frequencies were determined and paired t-tests were used to compare means.ResultsFourteen practices (60 providers) participated; 7289 screens were completed: 3972 (54.5%) initial screens and 1769 (24.3%) subsequent WCV screens. Caregivers on the initial screen were primarily white (61.7%), mothers (86.0%) with public insurance (41.7%). Within the first month after QI program initiation, PCPs TSE screening was during 80% of WCVs, which increased to > 90% by end of the QI program. A total of 637 /3953 (16.1%) screened positive for home TSE on the initial visit: 320/3953 (8.1%) exposed by at least the primary caregivers, and 317/3953 (8.0%) exposed by a home adult smoker (not the identified caregiver). Of caregivers receiving smoking counseling with subsequent follow-up WCV (n = 100), the mean number of cigarettes smoked daily decreased significantly from 10.6 to 4.6 (p = 0.03). Thirty-four percent of caregivers (34/100) reported they quit smoking at their second visit. A total of 1072 (27%) infants screened at risk for inappropriate sleep position or environment at their initial visit. Of these at-risk infants whose caregivers received safe sleep counseling, 49.1% practiced safer sleep behaviors at follow-up.ConclusionsPCPs participating in a QI program increased screening at WCVs for infant mortality risks. After counseling and providing resources about TSE and safe sleep, many caregivers reported practicing safer behaviors at their next WCV.
Project description:Recent studies have examined the risk of poverty throughout the life course, but few have considered how transitioning in and out of poverty shape the dynamic heterogeneity and mortality disparities of a cohort at each age. Here we use state-by-age modeling to capture individual heterogeneity in crossing one of three different poverty thresholds (defined as 1×, 2× or 3× the "official" poverty threshold) at each age. We examine age-specific state structure, the remaining life expectancy, its variance, and cohort simulations for those above and below each threshold. Survival and transitioning probabilities are statistically estimated by regression analyses of data from the Health and Retirement Survey RAND data-set, and the National Longitudinal Survey of Youth. Using the results of these regression analyses, we parameterize discrete state, discrete age matrix models. We found that individuals above all three thresholds have higher annual survival than those in poverty, especially for mid-ages to about age 80. The advantage is greatest when we classify individuals based on 1× the "official" poverty threshold. The greatest discrepancy in average remaining life expectancy and its variance between those above and in poverty occurs at mid-ages for all three thresholds. And fewer individuals are in poverty between ages 40-60 for all three thresholds. Our findings are consistent with results based on other data sets, but also suggest that dynamic heterogeneity in poverty and the transience of the poverty state is associated with income-related mortality disparities (less transience, especially of those above poverty, more disparities). This paper applies the approach of age-by-stage matrix models to human demography and individual poverty dynamics. In so doing we extend the literature on individual poverty dynamics across the life course.
Project description:IntroductionIn the UK, approximately 300 infants each year die suddenly and unexpectedly, with most deaths remaining unexplained. Population-wide 'Safer Sleep' messages have brought rates down but remaining deaths now predominantly occur within families experiencing poverty. Many of these deaths may be preventable as the majority have known, avoidable risks present. New resources and tools for health professionals and families have been developed to address modifiable barriers to implementing safer sleep advice in this priority group of families. This study aims to understand how the Baby Sleep Project resources work to improve the uptake of safer sleep advice, including for whom, and in what contexts they work best.Methods and analysisRealist evaluation will be used, including both qualitative and quantitative methods. Data will be collected both pre- and post-health professional training in the new resources. We will invite neonatal staff, health visitors and family nurse partnerships nurses, and primary caregivers of infants to take part. We will carry out qualitative interviews with health professionals and caregivers. Quantitative surveys looking at implementation for health professionals, changes in infant care knowledge and practice, and parenting self-efficacy will be conducted with caregivers. Mechanisms of action, contexts and outcomes from the new resources will be tested against the initial programme theory. The findings from this research will inform evidence-based explanations of how to improve the uptake of health advice in priority populations.Ethics and disseminationThe study was given a favourable opinion by the South West-Frenchay Research Ethics Committee (ref: 23/SW/0119). We will publish our findings in academic journals and talk about them at conferences. We will make sure the people who took part in the study hear about them first. If the resources are shown to be useful, we will work with charities and the National Health Service to roll them out across the whole of the UK.Trial registration numberISRCTN3364337.
Project description:ObjectiveTo estimate the effects of chlorhexidine vaginal and baby wipes on fetal and neonatal mortality, respectively, and infection-related morbidity.MethodsWe performed a placebo-controlled, randomized trial of chlorhexidine vaginal and neonatal wipes to reduce neonatal sepsis and mortality in three hospitals in Pakistan. The primary study outcome was a composite of neonatal sepsis or 7-day perinatal mortality.ResultsFrom 2005 to 2008, 5,008 laboring women and their neonates were randomly assigned to receive either chlorhexidine wipes (n=2,505) or wipes with a saline placebo (n=2,503). The primary outcome was similar in the chlorhexidine and control groups (3.1% compared with 3.4%; relative risk 0.91, 95% confidence interval 0.67-1.24) as was the composite rate of neonatal sepsis or 28-day perinatal mortality (3.8% compared with 3.9%, relative risk 0.96, 95% confidence interval 0.73-1.27). At day 7, the chlorhexidine group had a lower rate of neonatal skin infection (3.3% compared with 8.2%, P<.001). With the exception of less frequent 7-day hospitalization in the chlorhexidine group, there were no significant differences in maternal outcomes between the groups.ConclusionUsing maternal chlorhexidine vaginal wipes during labor and neonatal chlorhexidine wipes does not reduce maternal and perinatal mortality or neonatal sepsis. The finding of reduced superficial skin infections on day 7 without change in sepsis or mortality suggests that this difference, although statistically significant, may not be of major importance.Level of evidenceI.
Project description:Poverty confers many costs on individuals, primarily through direct material deprivation. We hypothesize that these costs may be understated: poverty may also reduce human welfare by decreasing the experiential value of what little the poor are able to consume via reduced bandwidth (cognitive resources)-exerting a de facto "tax" on the value of consumption. We test this hypothesis using a randomized controlled trial in which we experimentally simulate key aspects of poverty that impair bandwidth via methods commonly used in laboratory studies (e.g., memorizing sequences) and via introducing stressors commonly associated with life in poverty (e.g., thinking about financial security and experiencing thirst). Participants then engaged in consumption activities and were asked to rate their enjoyment of these activities. Consistent with our hypothesis, the randomly assigned treatments designed to reduce bandwidth significantly and meaningfully reduced ratings of the consumption activities, with the strongest effects on the consumption of food. Our results shed additional light on how the consequences of poverty on human welfare may compound and motivate future work on the full scope of returns to poverty alleviation efforts.
Project description:ObjectivesMaternal stress has been associated with early child obesity through pathways related to decreased exclusive breastfeeding and increased nonresponsive maternal-infant feeding styles. We sought to gain an in-depth understanding of how maternal stress, sadness, and isolation are perceived to affect feeding, in order to inform modifiable targets of intervention.MethodsWe conducted semi-structured qualitative interviews with Hispanic mothers living in poverty with young infants between 3 and 7 months old (n = 32) from the intervention group of a randomized controlled trial of an early child obesity prevention intervention (Starting Early Program). Bilingual English-Spanish interviewers conducted the interviews, which were audio recorded, transcribed, and translated. Building on an existing theoretical framework developed by the National Scientific Council on the Developing Child, we used an iterative process of textual analysis to code the transcripts, until thematic saturation was reached.ResultsThree key themes were described: 1) maternal stress responses were varied and included positive (brief and mild), tolerable (sustained but limited long-term impacts), or toxic stress (sustained and severe); 2) buffers included support from family, infants, health care providers, social service programs, and community organizations; 3) perceived effects on infant feeding included decreased breastfeeding due to concerns about stress passing directly through breast milk and indirectly through physical closeness, and increased nonresponsive feeding styles.ConclusionsMaternal stress, particularly toxic stress, was perceived to negatively affect infant feeding. Mothers reported disrupting healthy feeding to avoid infant exposure to stress. Interventions to enhance buffering may help to mitigate toxic stress and promote healthy feeding interactions.
Project description:ObjectiveTo determine whether there were inequalities in the sustained rise in infant mortality in England in recent years and the contribution of rising child poverty to these trends.DesignThis is an analysis of trends in infant mortality in local authorities grouped into five categories (quintiles) based on their level of income deprivation. Fixed-effects regression models were used to quantify the association between regional changes in child poverty and regional changes in infant mortality.Setting324 English local authorities in 9 English government office regions.ParticipantsLive-born children under 1 year of age.Main outcome measureInfant mortality rate, defined as the number of deaths in children under 1 year of age per 100 000 live births in the same year.ResultsThe sustained and unprecedented rise in infant mortality in England from 2014 to 2017 was not experienced evenly across the population. In the most deprived local authorities, the previously declining trend in infant mortality reversed and mortality rose, leading to an additional 24 infant deaths per 100 000 live births per year (95% CI 6 to 42), relative to the previous trend. There was no significant change from the pre-existing trend in the most affluent local authorities. As a result, inequalities in infant mortality increased, with the gap between the most and the least deprived local authority areas widening by 52 deaths per 100 000 births (95% CI 36 to 68). Overall from 2014 to 2017, there were a total of 572 excess infant deaths (95% CI 200 to 944) compared with what would have been expected based on historical trends. We estimated that each 1% increase in child poverty was significantly associated with an extra 5.8 infant deaths per 100 000 live births (95% CI 2.4 to 9.2). The findings suggest that about a third of the increases in infant mortality between 2014 and 2017 can be attributed to rising child poverty (172 deaths, 95% CI 74 to 266).ConclusionThis study provides evidence that the unprecedented rise in infant mortality disproportionately affected the poorest areas of the country, leaving the more affluent areas unaffected. Our analysis also linked the recent increase in infant mortality in England with rising child poverty, suggesting that about a third of the increase in infant mortality from 2014 to 2017 may be attributed to rising child poverty.