Kathleen Conroy

High levels of adherence do not prevent accumulation of HIV drug resistance mutations.

Objectives: To assess the relationship between development of antiretroviral drug resistance and adherence by measured treatment duration, virologic suppression, and the rate of accumulating new drug resistance mutations at different levels of adherence. Methods: Adherence was measured with unannounced pill counts performed at the participants usual place of residence in a prospective cohort of HIV-positive urban poor individuals. Two genotypic resistance tests separated by 6 months (G1 and G2) were obtained in individuals on a stable regimen and with detectable viremia (> 50 copies/ml). The primary resistance outcome was the number of new HIV antiretroviral drug resistance mutations occurring over the 6 months between G1 and G2. Results: High levels of adherence were closely associated with greater time on treatment (P < 0.0001) and viral suppression (P < 0.0001) in 148 individuals. In a subset of 57 patients with a plasma viral load > 50 copies/ml on stable therapy, the accumulation of new drug resistance mutations was positively associated with the duration of prior treatment (P = 0.03) and pill count adherence (P = 0.002). Assuming fully suppressed individuals (< 50 copies/ml) do not develop resistance, it was estimated that 23% of all drug resistance occurs in the top quintile of adherence (92–100%), and over 50% of all drug resistance mutations occur in the top two quintiles of adherence (79–100%). Conclusion: Increasing rates of viral suppression at high levels of adherence is balanced by increasing rates of drug resistance among viremic patients. Exceptionally high levels of adherence will not prevent population levels of drug resistance.

Human Papillomavirus Vaccine Uptake, Predictors of Vaccination, and Self-Reported Barriers to Vaccination

OBJECTIVE To describe human papillomavirus (HPV) vaccine uptake, predictors of vaccination, and barriers to vaccination in young women. METHODS Participants were 13-26-year-old girls and women recruited from an urban, hospital-based clinic. Between June and December 2007, 6 months after they had completed a baseline survey, they were recontacted to assess receipt of at least one HPV vaccine dose and barriers to receiving the vaccine. We assessed whether demographic factors, gynecological history, and attitudes measured at baseline were associated with vaccination at follow-up using logistic regression. RESULTS Of the 262 women who completed the baseline study, 189 (72%) participated in this follow-up study. At follow-up, 68 of 189 (36%) had received >or=1 HPV vaccine dose. Factors measured at baseline that predicted vaccination 6 months later included insurance coverage for HPV vaccination (odds ratio [OR] 5.31, 95% confidence interval [CI] 1.61-17.49) and the belief that ones parents, partners, and clinicians endorsed HPV vaccination (OR 2.21, 95% CI 1.29-3.79); those with a history of an abnormal Pap test were less likely to have received the vaccine (OR 0.30, CI 0.10-0.92). Of the 121 who were unvaccinated, 54 (45%) had not returned to the clinic since the baseline study, 51 (42%) had returned but were not offered vaccine, and 15 (12%) had declined vaccination. CONCLUSIONS Interventions to increase HPV vaccination rates in women in the catch-up age group for vaccination should ensure that vaccine costs are covered, promote HPV vaccination as normative, and establish clinic-based systems to prevent missed opportunities for vaccination.

Poverty Grown Up: How Childhood Socioeconomic Status Impacts Adult Health

Socioeconomic status and health status are directly related across the world. Children with low-socioeconomic status not only experience greater health problems in childhood but also aspects of their socioeconomic status become biologically incorporated through both critical periods of development and cumulative effects, leading to poor health outcomes as adults. We explore 3 main influences related to childs socioeconomic status that impact long-term health: the material environment, the social environment, and the structural or community environment. These influences illustrate the importance of clinical innovations, health services research, and public policies that address the socioeconomic determinants of these distal health outcomes.

Development and validation of the Composite Asthma Severity Index—an outcome measure for use in children and adolescents

BACKGROUND Asthma severity is reflected in many aspects of the disease, including impairment and future risks, particularly for exacerbations. According to the Expert Panel Report 3: Guidelines for the Diagnosis and Management of Asthma, however, to assess more comprehensively the severity of asthma the level of current treatment needed to maintain a level of control should be included. OBJECTIVE Development and validation of a new instrument, the Composite Asthma Severity Index (CASI), which can quantify disease severity by taking into account impairment, risk, and the amount of medication needed to maintain control. At present, there is no instrument available to measure and assess the multidimensional nature of asthma. METHODS Twenty-six established asthma investigators, who are part of the National Institutes of Health-supported Inner City Asthma Consortium, participated in a modified Delphi consensus process to identify and weight the dimensions of asthma. Factor analysis was performed to identify independent domains of asthma by using the Asthma Control Evaluation trial. CASI was validated by using the Inner City Anti-IgE Therapy for Asthma trial. RESULTS CASI scores include 5 domains: day symptoms and albuterol use, night symptoms and albuterol use, controller treatment, lung function measures, and exacerbations. At Asthma Control Evaluation trial enrollment, CASI ranged from 0 to 17, with a mean of 6.2. CASI was stable, with minimal change in variance after 1 year of treatment. In external validation, CASI detected a 32% larger improvement than did symptoms alone. CONCLUSION CASI retained its discriminatory ability even with low levels of symptoms reported after months of guidelines-directed care. Thus, CASI has the ability to determine the level of asthma severity and provide a composite clinical characterization of asthma.

Relationships among environmental exposures, cord blood cytokine responses, allergy, and wheeze at 1 year of age in an inner-city birth cohort (Urban Environment and Childhood Asthma study)

BACKGROUND The Urban Environment and Childhood Asthma study was established to investigate the immunologic and environmental causes of asthma in inner-city children. OBJECTIVE We sought to evaluate potential atopic outcomes in the first 12 months and their relationships to environmental exposures and immune development. METHODS A birth cohort of 560 children with at least 1 parent with allergy or asthma was established in Baltimore, Boston, New York, and St Louis. Wheezing is assessed every 3 months, allergen-specific IgE yearly, and mononuclear cell cytokine responses at birth and yearly; environmental assessments include dust allergen and endotoxin, maternal stress, and indoor nicotine and nitrogen dioxide levels. RESULTS Key outcomes in the first year include wheeze in 49%, 2 or more episodes of wheeze in 23%, eczema in 30%, and detectable IgE to milk, egg, and/or peanut in 32% and to cockroach in 4%. Household dust revealed levels of greater than 2 μg/g to cockroach in 40%, mite in 19%, cat in 25%, and mouse in 29%, and 66% of homes housed at least 1 smoker. Positive associations were detected between multiple wheeze and cotinine levels, maternal stress, and maternal depression, whereas cytokine responses to a variety of innate, adaptive, and mitogenic stimuli were inversely related to eczema. CONCLUSIONS This high-risk cohort of inner-city infants is exhibiting high rates of wheeze, eczema, and allergic sensitization. Low cytokine responses at birth might be a risk factor for eczema, whereas a variety of adverse environmental exposures contribute to the risk of wheezing in infancy. These findings provide evidence of specificity in the interactions between immune development, environmental exposures, and the development of early features that might predict future asthma.

Screening for Social Determinants of Health Among Children and Families Living in Poverty: A Guide for Clinicians

Approximately 20% of all children in the United States live in poverty, which exists in rural, urban, and suburban areas. Thus, all child health clinicians need to be familiar with the effects of poverty on health and to understand associated, preventable, and modifiable social factors that impact health. Social determinants of health are identifiable root causes of medical problems. For children living in poverty, social determinants of health for which clinicians may play a role include the following: child maltreatment, child care and education, family financial support, physical environment, family social support, intimate partner violence, maternal depression and family mental illness, household substance abuse, firearm exposure, and parental health literacy. Children, particularly those living in poverty, exposed to adverse childhood experiences are susceptible to toxic stress and a variety of child and adult health problems, including developmental delay, asthma and heart disease. Despite the detrimental effects of social determinants on health, few child health clinicians routinely address the unmet social and psychosocial factors impacting children and their families during routine primary care visits. Clinicians need tools to screen for social determinants of health and to be familiar with available local and national resources to address these issues. These guidelines provide an overview of social determinants of health impacting children living in poverty and provide clinicians with practical screening tools and resources.

Redesigning Health Care Practices to Address Childhood Poverty

Child poverty in the United States is widespread and has serious negative effects on the health and well-being of children throughout their life course. Child health providers are considering ways to redesign their practices in order to mitigate the negative effects of poverty on children and support the efforts of families to lift themselves out of poverty. To do so, practices need to adopt effective methods to identify poverty-related social determinants of health and provide effective interventions to address them. Identification of needs can be accomplished with a variety of established screening tools. Interventions may include resource directories, best maintained in collaboration with local/regional public health, community, and/or professional organizations; programs embedded in the practice (eg, Reach Out and Read, Healthy Steps for Young Children, Medical-Legal Partnership, Health Leads); and collaboration with home visiting programs. Changes to health care financing are needed to support the delivery of these enhanced services, and active advocacy by child health providers continues to be important in effecting change. We highlight the ongoing work of the Health Care Delivery Subcommittee of the Academic Pediatric Association Task Force on Child Poverty in defining the ways in which child health care practice can be adapted to improve the approach to addressing child poverty.

Payment Reform for Safety-Net Institutions — Improving Quality and Outcomes

Drs. C. Jason Wang, Kathleen Conroy, and Barry Zuckerman argue that safety-net institutions should be reimbursed more per patient under any pay-for-quality scheme that is implemented.

Ensuring Timely Connection to Early Intervention for Young Children With Developmental Delays

Centralizing referral mechanisms, using registries, and building close connections between primary care and EI sites increased rates of successful connections in these high-risk referrals. BACKGROUND AND OBJECTIVES: Timely provision of developmental services can improve outcomes for children 0 to 3 years old with developmental delays. Early Intervention (EI) provides free developmental services to children under age 3 years; however, data suggests that many children referred to EI never connect to the program. We sought to ensure that 70% of patients referred to EI from an academic primary care clinic serving a low-income population were evaluated within 120 days of referral. METHODS: Recognizing that our baseline system of EI referrals had multiple routes to referral without an ability to track referral outcome, we implemented a multifaceted referral process with (1) a centralized electronic referral system used by providers, (2) patient navigators responsible for processing all EI referrals submitted by providers, and (3) a tracking system postreferral to facilitate identification of patients failing to connect with EI. RESULTS: The percentage of patients evaluated by EI within 120 days increased from a baseline median of 50% to a median of 72% after implementation of the systems (N = 309). After implementation, the centralized referral system was used a median of 90% of the time. Tracking of referral outcomes revealed decreases in families refusing evaluations and improvements in exchange of information with EI. CONCLUSIONS: Rates of connection to EI improved substantially when referrals were centralized in the clinic and patient navigators were responsible for tracking referral outcomes. Knowledge of EI intake processes and relationships between the practice and the EI site are essential to ensure successful connections.

Utilization of Patient Navigators in an Urban Academic Pediatric Primary Care Practice

Navigating health care systems can be a challenge for families. A retrospective descriptive cohort analysis was conducted assessing referrals to patient navigators (PNs) in one urban academic pediatric primary care practice. PNs tracked referral processes and a subset of PN referrals was assessed for markers of successful referrals. The most common reasons for referral were assistance overcoming barriers to care (46%), developmental concerns (38%), and adherence/care coordination concerns (14%). Significant predictors of referral were younger age, medical complexity, public insurance, male sex, and higher rates of no-show to visits in primary or subspecialist care. The majority of referrals were resolved. The referrals for process-oriented needs were significantly more successful than those for other concerns. PNs were more effective for discrete process tasks than for those that required behavior change by patients or families. Future directions include analysis of cost effectiveness of the PN program and analysis of parent and primary care provider experience.