Telehealth Trends and Hypertension Management Among Rural and Medicaid Patients After COVID-19.

Objective: Examine the associations between rurality and low income with primary care telehealth utilization and hypertension outcomes across multiple years pre- and post-COVID-19 pandemic onset. Methods: We compiled electronic health record data from the mixed rural/urban Dartmouth Health system in New Hampshire, United States, on patients with pre-existing hypertension or diabetes receiving primary care in the period before (January 2018-February 2020) and after the transition period to telehealth during the COVID-19 Pandemic (October 2020-December 2022). Stratifying by rurality and Medicaid enrollment, we examined changes in synchronous (office and telehealth visits, including audio/video use) and asynchronous (patient portal or telephone message) utilization, and control of mean systolic blood pressure (SBP) <140. Results: Analysis included 46,520 patients, of whom 8.2% were Medicaid enrollees, 42.7% urban residents. Telehealth use rates were 12% for rural versus 6.4% for urban, and 15% for Medicaid versus 8.4% non-Medicaid. The overall postpandemic telehealth visit rate was 0.29 per patient per year. Rural patients had a larger increase in telehealth use (additional 0.21 per year, 95% CI, 0.19-0.23) compared with urban, as did Medicaid (0.32, 95% CI 0.29-0.36) compared with non-Medicaid. Among the 38,437 patients with hypertension, SBP control worsened from 83% to 79% of patients across periods. In multivariable analysis, rurality corresponded to worsened control rates compared with urban (additional 2.4% decrease, 95% CI 2.1-2.8%); Medicaid and telehealth use were not associated with worsened control. Conclusions: Telehealth expansion enabled a higher shift to telehealth for rural and low-income patients without impairing hypertension management.

Understanding the increase in opioid overdoses in New Hampshire: A rapid epidemiologic assessment.

BACKGROUND: New Hampshire (NH) has had among the highest rates of fentanyl-related overdose deaths per capita in the United States for several years in a row-more than three times the national average in 2016. This mixed-methods study investigated drug-using practices and perspectives of NH residents who use opioids to inform policy in tackling the overdose crisis. METHODS: Seventy-six participants from six NH counties completed demographic surveys and semi-structured interviews focused on drug-using practices and perspectives, including use precursors, fentanyl-seeking behaviors, and experiences with overdose. Rigorous qualitative methods were used to analyze interview data including transcription, coding and content analysis. Descriptive statistics were calculated on quantitative survey data. RESULTS: Eighty-four percent of interviewees had knowingly used fentanyl in their lifetime, 70 % reported overdosing at least once, and 42 % had sought a batch of drugs known to have caused an overdose. The majority stated most heroin available in NH was laced with fentanyl and acknowledged that variability across batches increased overdose risk. Participants reported high availability of fentanyl and limited access to prevention, treatment, and harm reduction programs. There was widespread support for expanding education campaigns for youth, increasing treatment availability, and implementing needle exchange programs. CONCLUSIONS: A confluence of factors contribute to the NH opioid overdose crisis. Despite consensus that fentanyl is the primary cause of overdoses, individuals continue to use it and affirm limited availability of resources to address the problem. Policies targeting innovative prevention, harm reduction, and treatment efforts are needed to more effectively address the crisis.

Electronic Cigarette Use During a Randomized Trial of Interventions for Smoking Cessation Among Medicaid Beneficiaries with Mental Illness.

Objective: People with mental illness have high rates of cigarette smoking, but many wish to quit. Electronic cigarette (e-cigarette) use has become increasingly common, especially among smokers who wish to quit, but research on whether this facilitates quitting has been mixed, and little research has examined e-cigarette use among smokers with mental illness. This secondary analysis examined the associations between spontaneous e-cigarette use during cessation treatment and 6-month outcomes within a cessation trial among Medicaid beneficiaries with mental illness. Main outcomes were previously reported. Methods: Adult Medicaid beneficiaries receiving mental health services were recruited between 2012 and 2015. Eligible daily smokers were randomized, using equipoise stratification, to one of six cessation treatment conditions (combinations of prescriber visit for pharmacotherapy, behavioral interventions, and abstinence incentives; e-cigarette use was not a recommended intervention). Presence of any self-reported e-cigarette use, all tobacco product use, quit attempts, and biologically verified abstinence were assessed at 3, 6, 9, and 12 months. The 456 participants who completed the 6-month assessment were included in logistic regressions, adjusting for subject characteristics and treatment condition, examining associations between self-reported, spontaneous e-cigarette use and 6-month outcomes. We evaluated three outcomes: biologically verified abstinence at 6 months, quit attempts over the treatment period, and heavy smoking (≥20 cigarettes per day) at 6 months. Results: Any use of e-cigarettes was reported by 192 participants (42.1%) during the treatment period. Use of pharmacotherapy was not different between those who used e-cigarettes and those who did not use e-cigarettes. A total of 13.5% of participants (n = 61) had achieved biologically verified abstinence at the 6-month assessment. E-cigarettes were not significantly associated with biologically verified abstinence, use of cessation pharmacotherapy, self-reported quit attempts, or heavy smoking at the 6-month assessment. Conclusions: Spontaneous e-cigarette use during cessation treatment was common among smokers with mental illness and was not associated with positive or negative treatment outcomes. The high rate of naturalistic e-cigarette use in this group suggests that e-cigarettes are an appealing strategy to obtain nicotine during cessation treatment that could be harnessed as a smoking cessation tool or for harm reduction.

The opioid epidemic in rural northern New England: An approach to epidemiologic, policy, and legal surveillance.

The opioid crisis presents substantial challenges to public health in New England's rural states, where access to pharmacotherapy for opioid use disorder (OUD), harm reduction, HIV and hepatitis C virus (HCV) services vary widely. We present an approach to characterizing the epidemiology, policy and resource environment for OUD and its consequences, with a focus on eleven rural counties in Massachusetts, New Hampshire and Vermont between 2014 and 2018. We developed health policy summaries and logic models to facilitate comparison of opioid epidemic-related polices across the three states that could influence the risk environment and access to services. We assessed sociodemographic factors, rates of overdose and infectious complications tied to OUD, and drive-time access to prevention and treatment resources. We developed GIS maps and conducted spatial analyses to assess the opioid crisis landscape. Through collaborative research, we assessed the potential impact of available resources to address the opioid crisis in rural New England. Vermont's comprehensive set of policies and practices for drug treatment and harm reduction appeared to be associated with the lowest fatal overdose rates. Franklin County, Massachusetts had good access to naloxone, drug treatment and SSPs, but relatively high overdose and HIV rates. New Hampshire had high proportions of uninsured community members, the highest overdose rates, no HCV surveillance data, and no local access to SSPs. This combination of factors appeared to place PWID in rural New Hampshire at elevated risk. Study results facilitated the development of vulnerability indicators, identification of locales for subsequent data collection, and public health interventions.

Cost-effectiveness of a patient navigation intervention to increase colonoscopy screening among low-income adults in New Hampshire.

BACKGROUND: Colonoscopy is the most widely used colorectal cancer (CRC) screening test in the United States. Through the detection and removal of potentially precancerous polyps, it can prevent CRC. However, CRC screening remains low among adults who are recommended for screening. The New Hampshire Colorectal Cancer Screening Program implemented a patient navigation (PN) intervention to increase colonoscopy screening among low-income patients in health centers in New Hampshire. In the current study, the authors examined the cost-effectiveness of this intervention. METHODS: A decision tree model was constructed using Markov state transitions to calculate the costs and effectiveness associated with PN. Costs were calculated for the implementation of PN in a statewide public health program and in endoscopy centers. The main study outcome was colonoscopy screening completion. The main decision variable was the incremental cost-effectiveness ratio associated with the PN intervention compared with usual care. RESULTS: The average cost per screening with PN was $1089 (95% confidence interval, $1075-$1103) compared with $894 with usual care (95% confidence interval, $886-$908). Among patients who were navigated, approximately 96.2% completed colonoscopy screening compared with 69.3% of those receiving usual care (odds ratio, 11.2; P <. 001). The incremental cost-effectiveness ratio indicated that 1 additional screening completion cost approximately $725 in a public health program and $548 in an endoscopy center with PN compared with usual care, both of which are less than the average Medicare reimbursement of $737 for a colonoscopy procedure. CONCLUSIONS: PN was found to be cost-effective in increasing colonoscopy screening among low-income adults in the New Hampshire Colorectal Cancer Screening Program, even at the threshold of current Medicare reimbursement rates for colonoscopy. The results of the current study support the implementation of PN in statewide public health programs and endoscopy centers.

Association Between Utilization of Chiropractic Services for Treatment of Low-Back Pain and Use of Prescription Opioids.

OBJECTIVE: Pain relief resulting from services delivered by doctors of chiropractic may allow patients to use lower or less frequent doses of opioids, leading to reduced risk of adverse effects. The objective of this investigation was to evaluate the association between utilization of chiropractic services and the use of prescription opioid medications. DESIGN: The authors used a retrospective cohort design to analyze health insurance claims data. SETTING: The data source was the all payer claims database administered by the State of New Hampshire. The authors chose New Hampshire because health claims data were readily available for research, and in 2015, New Hampshire had the second-highest age-adjusted rate of drug overdose deaths in the United States. SUBJECTS: The study population comprised New Hampshire residents aged 18-99 years, enrolled in a health plan, and with at least two clinical office visits within 90 days for a primary diagnosis of low-back pain. The authors excluded subjects with a diagnosis of cancer. OUTCOME MEASURES: The authors measured likelihood of opioid prescription fill among recipients of services delivered by doctors of chiropractic compared with nonrecipients. They also compared the cohorts with regard to rates of prescription fills for opioids and associated charges. RESULTS: The adjusted likelihood of filling a prescription for an opioid analgesic was 55% lower among recipients compared with nonrecipients (odds ratio 0.45; 95% confidence interval 0.40-0.47; p < 0.0001). Average charges per person for opioid prescriptions were also significantly lower among recipients. CONCLUSIONS: Among New Hampshire adults with office visits for noncancer low-back pain, the likelihood of filling a prescription for an opioid analgesic was significantly lower for recipients of services delivered by doctors of chiropractic compared with nonrecipients. The underlying cause of this correlation remains unknown, indicating the need for further investigation.

Does Travel Time to a Radiation Facility Impact Patient Decision-Making Regarding Treatment for Prostate Cancer? A Study of the New Hampshire State Cancer Registry.

PURPOSE: We sought to determine whether further distance from a radiation center is associated with lower utilization of external beam radiation therapy (XRT). METHODS: We retrospectively identified patients with a new diagnosis of localized prostate cancer (CaP) within the New Hampshire State Cancer Registry from 2004 to 2011. Patients were categorized by age, D'Amico risk category, year of treatment, marital status, season of diagnosis, urban/rural residence, and driving time to the nearest radiation facility. Treatment decisions were stratified into those requiring multiple trips (XRT) or a single trip (surgery or brachytherapy). Multivariable regression analysis was performed. RESULTS: A total of 4,731 patients underwent treatment for newly diagnosed CaP during the study period, including 1,575 multitrip (XRT) and 3,156 single-trip treatments. Of these, 87.6% lived within a 30-minute drive to a radiation facility. In multivariable analysis, time to the nearest radiation facility was not associated with treatment decisions (P = .26). However, higher risk category, older age, married status, and winter diagnosis were associated with XRT (P < .05). More recent year of diagnosis and urban residence were associated with single-trip therapy (primarily surgery) (P < .05). There was a significant interaction between travel time and season of diagnosis (P = .03), as well as a marginally significant interaction with urban/rural status (P = .07). CONCLUSION: Overall, further travel time to a radiation facility was not associated with lower utilization of XRT. These data are encouraging regarding access to care for CaP in New Hampshire.

Prospective Comparison of Diagnostic Accuracy Between Point-of-Care and Conventional Ultrasound in a General Diagnostic Department: Implications for Resource-Limited Settings.

OBJECTIVES: To compare the diagnostic accuracy of hand-held point-of-care (POC) versus conventional sonography in a general diagnostic setting with the intention to inform medical providers or clinicians on the rational use of POC ultrasound in resource limited settings. METHODS: Over 3 months in 2010, 47 patients were prospectively enrolled at a single academic center to obtain 54 clinical conventional ultrasound examinations and 54 study-only POC ultrasound examinations. Indications were 48% abdominal, 26% retroperitoneal, and 24% obstetrical. Nine blinded readers (sonographers, residents, and attending radiologists) sequentially assigned diagnoses to POC and then conventional studies, yielding 476 interpreted study pairs. Diagnostic accuracy was obtained by comparing POC and conventional diagnoses to a reference diagnosis established by the unblinded, senior author. Analysis was stratified by study type, body mass index (BMI), diagnostic confidence, and image quality. RESULTS: The mean diagnostic accuracy of conventional sonography was 84% compared with 74% for POC (P < .001). This difference was constant regardless of reader, exam type, or BMI. The sensitivity and specificity to detect abnormalities with conventional was 85 and 83%, compared with 75 and 68% for POC. The POC sonography demonstrated greater variability in image quality and diagnostic confidence, and this accounted for lower diagnostic accuracy. When image quality and diagnostic confidence were similar between POC and conventional examinations, there was no difference in accuracy. CONCLUSIONS: Point-of-care was nearly as accurate as conventional sonography for basic, focused examinations. Observed differences in accuracy were attributed to greater variation in POC image quality.

Trends in Nonfatal Agricultural Injury in Maine and New Hampshire: Results From a Low-Cost Passive Surveillance System.

OBJECTIVES: Agriculture is a dangerous industry, and although data on fatal injuries exist, less is known about nonfatal injuries. The purpose of this study is to describe trends in agricultural morbidity in Maine and New Hampshire from 2008 to 2010 using a newly established passive surveillance system. This passive system is supplied by injury cases gathered from prehospital care reports and hospital data. METHODS: Demographics and specifics of the event were recorded for each incident case. RESULTS: The average age of injured people in Maine and New Hampshire was 41.7. Women constituted 43.8% of all agricultural injuries. Machinery- (n = 303) and animal- (n = 523) related injuries accounted for most agricultural incidents. Of all injured women, over 60% sustained injuries due to animal-related causes. Agricultural injuries were spread across the two states, with clustering in southern New Hampshire and south central Maine, with additional injuries in the Aroostook County area, which is located in the northeast part of the state. Seasonal variation in agricultural injuries was evident with peaks in the summer months. There was some overlap between the agricultural and logging industry for tree-related work. CONCLUSIONS: Our methods are able to capture traumatic injury in agriculture in sufficient detail to prioritize interventions and to evaluate outcomes. The system is low-cost and has the potential to be sustained over a long period. Differences in rates of animal- and machinery-related injuries suggest the need for state-specific safety prioritization.

Assessment of continuous acoustic respiratory rate monitoring as an addition to a pulse oximetry-based patient surveillance system.

Technology advances make it possible to consider continuous acoustic respiratory rate monitoring as an integral component of physiologic surveillance systems. This study explores technical and logistical aspects of augmenting pulse oximetry-based patient surveillance systems with continuous respiratory rate monitoring and offers some insight into the impact on patient deterioration detection that may result. Acoustic respiratory rate sensors were introduced to a general care pulse oximetry-based surveillance system with respiratory rate alarms deactivated. Simulation was used after 4324 patient days to determine appropriate alarm thresholds for respiratory rate, which were then activated. Data were collected for an additional 4382 patient days. Physiologic parameters, alarm data, sensor utilization and patient/staff feedback were collected throughout the study and analyzed. No notable technical or workflow issues were observed. Sensor utilization was 57 %, with patient refusal leading reasons for nonuse (22.7 %). With respiratory rate alarm thresholds set to 6 and 40 breaths/min., the majority of nurse pager clinical notifications were triggered by low oxygen saturation values (43 %), followed by low respiratory rate values (21 %) and low pulse rate values (13 %). Mean respiratory rate collected was 16.6 ± 3.8 breaths/min. The vast majority (82 %) of low oxygen saturation states coincided with normal respiration rates of 12-20 breaths/min. Continuous respiratory rate monitoring can be successfully added to a pulse oximetry-based surveillance system without significant technical, logistical or workflow issues and is moderately well-tolerated by patients. Respiratory rate sensor alarms did not significantly impact overall system alarm burden. Respiratory rate and oxygen saturation distributions suggest adding continuous respiratory rate monitoring to a pulse oximetry-based surveillance system may not significantly improve patient deterioration detection.

Association between Early Childhood Caries, Feeding Practices and an Established Dental Home.

PURPOSE: Early Childhood Caries (ECC) is a significant public health concern disproportionately affecting low-income children. The purpose of this study was to assess the association between the establishment of a dental home and ECC prevalence in a group of Medicaid-enrolled preschool children, and to explore feeding practices associated with an increased prevalence of ECC in Medicaid-enrolled preschool children with an established dental home was evaluated. METHODS: A cross-sectional survey was conducted among Medicaid-enrolled children (n=132) between 2 and 5 years of age with an established dental home and no dental home to compare feeding practices, parental knowledge of caries risk factors and oral health status. RESULTS: Children with an established dental home had lower rates of biofilm (p<0.05), gingivitis (p<0.05) and mean decayed, missing and filled teeth (DMFT) scores (p<0.05). Children with no dental home consumed more soda and juice (p<0.05) daily, and ate more sticky fruit snacks (p<0.05) than children with an established dental home. Establishment of a dental home had a strong protective effect on caries and DMFT index (odds ratio=0.22) in both univariate and confounding adjusted analyses. CONCLUSION: The results suggest establishment of a dental home, especially among high-risk, low-income populations, decreases the prevalence of ECC and reduces the practice of cariogenic feeding behaviors.

Epigenome-Wide Assessment of DNA Methylation in the Placenta and Arsenic Exposure in the New Hampshire Birth Cohort Study (USA).

BACKGROUND: Arsenic is one of the most commonly encountered environmental toxicants, and research from model systems has suggested that one mode of its toxic activity may be through alterations in DNA methylation. In utero exposure to arsenic can affect fetal, newborn, and infant health, resulting in a range of phenotypic outcomes. OBJECTIVES: This study examined variation in placental DNA methylation and its relationship to arsenic exposure in 343 individuals enrolled in the New Hampshire Birth Cohort Study. METHODS: Linear regression models using a reference-free correction to account for cellular composition were employed to determine CpG loci affected by arsenic levels. RESULTS: Total arsenic measured in maternal urine during the second trimester was not associated with methylation in the placenta, whereas arsenic levels quantified through maternal toenail collected at birth were associated with methylation at a single CpG locus (p = 4.1 × 10-8). Placenta arsenic levels were associated with 163 differentially methylated loci (false discovery rate < 0.05), with 11 probes within the LYRM2 gene reaching genome-wide significance (p < 10-8). Measurement of LYRM2 mRNA levels indicated that methylation was weakly to moderately correlated with expression (r = 0.15, p < 0.06). In addition, we identified pathways suggesting changes in placental cell subpopulation proportions associated with arsenic exposure. CONCLUSIONS: These data demonstrate the potential for arsenic, even at levels commonly experienced in a U.S. population, to have effects on the DNA methylation status of specific genes in the placenta and thus supports a potentially novel mechanism for arsenic to affect long-term children's health. CITATION: Green BB, Karagas MR, Punshon T, Jackson BP, Robbins DJ, Houseman EA, Marsit CJ. 2016. Epigenome-wide assessment of DNA methylation in the placenta and arsenic exposure in the New Hampshire Birth Cohort Study (USA). Environ Health Perspect 124:1253-1260; http://dx.doi.org/10.1289/ehp.1510437.

Barriers and Contributors to Breastfeeding in WIC Mothers: A Social Ecological Perspective.

BACKGROUND: In response to the Surgeon General's Call to Action to Support Breastfeeding, the goal of this research was to assess the barriers and positive contributors to breastfeeding initiation and duration in Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participants using the social ecological model (SEM). MATERIALS AND METHODS: A cross-sectional design was used to survey WIC mothers (n = 283) in southern New Hampshire. Analysis of breastfeeding initiation and duration revealed statistically significant results primarily at the individual level of the SEM. Findings also showed influences at the interpersonal, community, and organizational levels. There were significant differences in beliefs toward breastfeeding between women who ever breastfed and women who never breastfed. Women who ever breastfed were more likely to agree that breastfeeding assists with losing baby weight (89% versus 77%; p = 0.03), babies fed breastmilk are less likely to get sick (86% versus 74%; p = 0.04), and breastfeeding helps mothers bond with their babies more quickly than formula feeding (88% versus 72%; p < 0.01). Breastfeeding duration was significantly related to employment status; among women who breastfed for 6 months or longer, 15% were employed full-time, 30% worked part-time, and 55% indicated "other" such as unemployed or stay-at-home mother (p = 0.01). Logistic regression revealed that maternal age was the most significant predictor of breastfeeding duration (odds ratio = 1.11; 95% confidence interval, 1.03, 1.19; p < 0.004). CONCLUSIONS: Results indicate opportunities to inform and support women in the prenatal and postpartum period, improve the social and built environment, and develop and advocate for policies in an effort to support breastfeeding.

Mapping disease at an approximated individual level using aggregate data: a case study of mapping New Hampshire birth defects.

BACKGROUND: Limited by data availability, most disease maps in the literature are for relatively large and subjectively-defined areal units, which are subject to problems associated with polygon maps. High resolution maps based on objective spatial units are needed to more precisely detect associations between disease and environmental factors. METHOD: We propose to use a Restricted and Controlled Monte Carlo (RCMC) process to disaggregate polygon-level location data to achieve mapping aggregate data at an approximated individual level. RCMC assigns a random point location to a polygon-level location, in which the randomization is restricted by the polygon and controlled by the background (e.g., population at risk). RCMC allows analytical processes designed for individual data to be applied, and generates high-resolution raster maps. RESULTS: We applied RCMC to the town-level birth defect data for New Hampshire and generated raster maps at the resolution of 100 m. Besides the map of significance of birth defect risk represented by p-value, the output also includes a map of spatial uncertainty and a map of hot spots. CONCLUSIONS: RCMC is an effective method to disaggregate aggregate data. An RCMC-based disease mapping maximizes the use of available spatial information, and explicitly estimates the spatial uncertainty resulting from aggregation.

Childhood lead poisoning in a Somali refugee resettlement community in New Hampshire.

Despite the gradual decrease in childhood lead poisoning in the United States, the risk for lead poisoning among African refugee children who resettle in the United States remains elevated. Communication methods implemented by resettlement agencies in the public health system for preventing childhood lead poisoning in this at-risk population warrant further investigation. We utilized structured interviews with key stakeholders (resettlement agencies, social service agencies developed by African refugees and resettled Somali refugees) involved in the refugee resettlement process to (1) describe the agency's role in the refugee resettlement process; (2) examine communication methods utilized and barriers experienced by the public health system in reference to childhood lead poisoning; (3) describe the refugee population's perception of childhood lead poisoning; (4) examine general challenges experienced by the public health system and the refugee population during the resettlement process; and (5) describe stakeholders' recommendations to improve health communication efforts. Based on our findings, we propose that communities are important determinants in health-related problems for refugee populations. Each community has its own environment and public health system that interacts with each other to influence health risks and risk perceptions of its populations. We advocate that understanding a community's ecology and implementing a culture-centered approach is essential for the public health system to help educate and prevent communication inequalities and health disparities among an at-risk African refugee population. This action can reduce a population's resistance to communication and help build a community's capacity to address a persistent public health problem, such as childhood lead poisoning.

The importance of substate surveillance in detection of geographic oral health inequalities in a small state.

CONTEXT: Considering that 42% of children and adolescents and 91% of dentate adults experience dental caries, oral disease is a public health problem. Although the population's oral health is improving, certain subgroups remain at increased risk for dental disease. OBJECTIVE: To assess the oral health status at the substate level and explore the possibility of geographic oral health inequalities in New Hampshire while building upon existing surveillance data sets. DESIGN: We used the Third Grade Oral Health and NH Behavioral Risk Factor Surveillance System surveys. We ensured the availability of substate level data and compared county/region specific estimates. SETTING: New Hampshire. PARTICIPANT: Adults and third-grade students in public schools. MAIN OUTCOME MEASURES: The prevalence of dental caries, untreated caries, and dental sealants among children; and the insurance status, utilization of dental services, and edentulism among adults. RESULTS: Of the 10 counties, the northernmost Coos County had consistently worse outcomes when compared with other counties. Only 64% of adult Coos County residents reported a dental visit in the past year; of these, 66% reported dental cleaning. Among adults 65 years and older, 29% were edentulous. In comparison with the state overall, these estimates were 76%, 77%, and 19%, respectively. Coos County third-grade students had the highest prevalence of dental caries experience (64% compared with 44% in New Hampshire) and untreated caries (31% compared with 12%), and only 24% had dental sealants (state prevalence is 60%). CONCLUSIONS: Overall oral health status in our state is favorable and comparable with the nation, yet significant geographic inequalities exist among children and adults. The oral health status of disparate groups can be improved using tailored interventions such as community water fluoridation or expansion of school-based dental sealant programs. Surveillance at the substate level is an essential part of the planning, targeting, and progress monitoring.

Primary care, depression, and anxiety: exploring somatic and emotional predictors of mental health status in adolescents.

INTRODUCTION: A growing body of research points to regular, comprehensive mental health screening in primary care practices as an effective tool, but a thorough and efficient approach is not yet widely used. The purpose of this report is to describe the pattern of mental health-related concerns, protective and social risk factors reported by adolescents during routine well-child visits in primary care settings, and their occurrence among teens that screen positive for either depression or anxiety with brief validated measures. METHODS: A personal digital assistant-based questionnaire was administered as part of clinical care to adolescents 11 to 18 years old (N = 2184) attending preventive well-child visits in 13 pediatric and family medicine primary care practices in a northern New England practice-based research network over 18 months (2008 to 2009). Depressive and anxiety-related symptoms were assessed using the 2-question versions of the Patient Health Questionnaire and Generalized Anxiety Disorder scale, respectively. Analyses determined the role that the protective and social risk factors played in determining who screens positive for depression and anxiety. RESULTS: In the fully adjusted model, risk factors that were significant (P < .05) predictors for a positive screen of depression included substance use (adjusted odds ratio [AOR], 2.05); stress (AOR, 3.59); anger (AOR, 1.94); and worries about family alcohol and drug use (AOR, 2.69). Among protective factors, that is, those that reduce the risk of depression, age (AOR, 0.87 for younger patients); having parents who listen (AOR, 0.34); and having more assets (AOR, 0.65) were significant. Significant predictors of screening positive for anxiety included substance use (AOR, 1.97); stress (AOR, 6.10); anger (AOR, 2.31); trouble sleeping (AOR, 1.75), and the sex of the adolescent (AOR, 1.87 for girls). Although having parents who listen was still a significant protective factor for anxiety (AOR, 2.26), other assets were not significant. CONCLUSIONS: Comprehensive primary care mental health screening that considers both anxiety and depression while including strength-based and psychosocial support questions is a helpful adjunct to clinical practices and has been done routinely by using an electronic tool at the point of care. Because certain common somatic and emotional concerns can precede depression and anxiety, routine screening for these issues along with depression and anxiety screening is suggested.

Spatiotemporal surveillance methods in the presence of spatial correlation.

Health surveillance involves collecting public health data on chronic and infectious diseases to detect changes in disease incidence rates in order to improve public health. Timely detection of disease clusters is essential in prospective public health surveillance. Most existing health surveillance research is based on the assumption that observations from different regions are independent. This paper proposes a set of multivariate surveillance schemes generalized from well-known detection methods in multivariate statistical process control based on likelihood ratio tests. We use Monte Carlo simulations to compare these methods for health surveillance in the presence of spatial correlations. By taking advantage of correlations among regions,the proposed schemes are able to perform better than existing surveillance methods and provide faster and more accurate detection of outbreaks. An example of breast cancer in New Hampshire is presented to demonstrate the application of these methods when observations are spatially correlated counts.

Breast cancer stage at diagnosis and geographic access to mammography screening (New Hampshire, 1998-2004).

INTRODUCTION: Early detection of breast cancer by screening mammography aims to increase treatment options and decrease mortality. Recent studies have shown inconsistent results in their investigations of the possible association between travel distance to mammography and stage of breast cancer at diagnosis. OBJECTIVE: The purpose of the study was to investigate whether geographic access to mammography screening is associated with the stage at breast cancer diagnosis. METHODS: Using the state's population-based cancer registry, all female residents of New Hampshire aged > or =40 years who were diagnosed with breast cancer during 1998-2004 were identified. The factors associated with early stage (stages 0 to 2) or later stage (stages 3 and 4) diagnosis of breast cancer were compared, with emphasis on the distance a woman lived from the closest mammography screening facility, and residence in rural and urban locations. RESULTS: A total of 5966 New Hampshire women were diagnosed with breast cancer during 1998-2004. Their mean driving distance to the nearest mammography facility was 8.85 km (range 0-44.26; 5.5 miles, range 0-27.5), with a mean estimated travel time of 8.9 min (range 0.0-42.2). The distribution of travel distance (and travel time) was substantially skewed to the right: 56% of patients lived within 8 km (5 miles) of a mammography facility, and 65% had a travel time of less than 10 min. There was no significant association between later stage of breast cancer and travel time to the nearest mammography facility. Using 3 categories of rural/urban residence based on Rural Urban Commuting Area classification, no significant association between rural residence and stage of diagnosis was found. New Hampshire women were more likely to be diagnosed with breast cancer at later stages if they lacked private health insurance (p<0.001), were not married (p<0.001), were older (p<0.001), and there was a borderline association with diagnosis during non-winter months (p=0.074). CONCLUSIONS: Most women living in New Hampshire have good geographical access to mammography, and no indication was found that travel time or travel distance to mammography significantly affected stage at breast cancer diagnosis. Health insurance, age and marital status were the major factors associated with later stage breast cancer. The study contributes to an ongoing debate over geographic access to screening mammography in different states, which have given contradictory results. These inconsistencies in the rural health literature highlight a need to understand the complexity of defining rural and urban residence; to characterize more precisely the issues that contribute to good preventive care in different rural communities; and to appreciate the efforts already made in some rural states to provide good geographic access to preventive care. In New Hampshire, specific subgroups such as the uninsured and the elderly remain at greatest risk of being diagnosed with later stage breast cancer and may benefit from targeted interventions to improve early detection.

How healthy could a state be?

OBJECTIVE: We predicted the amount of health outcome improvement any state might achieve if it could reach the highest level of key health determinants any individual state has already achieved. METHODS: Using secondary county-level data on modifiable and nonmodifiable health determinants from 1994 to 2003, we used regression analysis to predict state age-adjusted mortality rates in 2000 for those younger than age 75, under the scenario of each state's "ideal" predicted mortality if that state had the best observed level among all states of modifiable determinants. RESULTS: We found considerable variation in predicted improvement across the states. The state with the lowest baseline mortality, New Hampshire, was predicted to improve by 23% to a mortality rate of 250 per 100,000 population if New Hampshire had the most favorable profile of modifiable health determinants. However, West Virginia, with a much higher baseline, would be predicted to improve the most-by 46% to 254 per 100,000 population. Individual states varied in the pattern of specific modifiable variables associated with their predicted improvement. CONCLUSIONS: The results support the contention that health improvement requires investment in three major categories: health care, behavioral change, and socioeconomic factors. Different states will require different investment portfolios depending on their pattern of modifiable and nonmodifiable determinants.