Assessment of risk for food insecurity among African American urban households: utilizing cumulative risk indices and latent class analysis to examine accumulation of risk factors.

African American caregivers in low-income, urban communities have high rates of food insecurity. Unemployment, education, smoking, stress, and depressive symptoms are associated with household food insecurity. A cumulative risk model suggests that accumulation of risk may compound food insecurity risk, and certain risk factors are more likely to co-occur. This study utilizes two approaches to examine food insecurity risk among African American caregivers with an adolescent daughter-a cumulative risk index to examine accumulation of risk and food insecurity risk; latent class analysis (LCA) to determine if certain risk profiles exist and their relation to food insecurity risk. Caregivers completed surveys including demographic, psychosocial, and behavioral questions (to create a cumulative risk index) and a validated 2-item food insecurity screen. LCA was used to identify risk profiles. Logistic regression was used to examine relations between cumulative risk, risk profiles, and food insecurity risk. Each additional cumulative risk index factor was associated with a 54% increase in odds of risk of food insecurity. LCA identified three subgroups: high stress/depression (class #1), low education/low stress and depression (class #2), and low risk overall (class #3). Odds of food insecurity risk were 4.7 times higher for class #1, and 1.5 times higher for class #2 compared with class #3. This study contributes to understanding of how food insecurity risk relates to cumulative risk and risk profiles. Findings can be used to improve food insecurity risk screening in clinical settings, enhancing intervention/referral for food security risk and mental health among African American caregivers and their households.

Prescription drug monitoring programs: Assessing the association between "best practices" and opioid use in Medicare.

OBJECTIVE: To estimate the impact of implementing prescription drug monitoring program (PDMP) best practices on prescription opioid use. DATA SOURCES: 2007-2012 Medicare claims for noncancer pain patients, and PDMP attributes from the Prescription Drug Abuse Policy System. STUDY DESIGN: We derived PDMP composite scores using the number of best practices adopted by states (range: 0-14), classifying states as either no PDMP, low strength (0 < score < median), or high strength (score ≥ median). Using generalized linear models, we quantified the association between the PDMP score category and opioid use measures-overall and stratified by disability/age. Sensitivity analyses assessed the general Medicare sample regardless of pain diagnoses, individual PDMP characteristics, and compared GEE model findings to models with state fixed effects. PRINCIPAL FINDINGS: Compared to non-PDMP states, strong PDMP states had lower opioid cumulative doses (-296 mg; 95% CI: -512, -132), days supplied (-7.84; 95% CI: -10.6, -5.04), prescription fill rates (0.97; 95% CI: 0.95, 0.98), and mean daily doses (-2.31 mg; 95% CI: -3.14, -1.48) but greater prevalence of high opioid doses in disabled adults, whereas there was little or no change in older adults. Findings in states with weak PDMPs were substantively similar to those of strong PDMPs. Results from sensitivity analyses were mostly consistent with main findings except there was a null relationship with mean daily doses and high doses in models with state fixed effects. CONCLUSIONS: Comprehensive or minimal adoption of PDMP best practices was associated with mostly comparable effects on Medicare beneficiaries' opioid use; however, these effects were concentrated among nonelderly disabled adults.

Epidemiological Determinants of Advanced Prostate Cancer in Elderly Men in the United States.

In this study, we examined the effects of individual-level and area-level characteristics on advanced prostate cancer diagnosis among Medicare eligible older men (ages 70+ years). We analyzed patients from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2000-2007) linked to US Census and County Business Patterns data. Cluster-adjusted logistic regression models were used to quantify the effects of individual preventive health behavior, clinical and demographic characteristics, area-level health services supply, and socioeconomic characteristics on stage at diagnosis. The fully adjusted model was used to estimate county-specific effects and predicted probabilities of advanced prostate cancer. In the adjusted analyses, low intensity of annual prostate-specific antigen (PSA) testing and other preventive health behavior, high comorbidity, African American race, and lower county socioeconomic and health services supply characteristics were statistically significantly associated with a higher likelihood of distant prostate cancer diagnosis. The fully adjusted predicted proportions of advanced prostate cancer diagnosis across 158 counties ranged from 3% to 15% (mean: 6%, SD: 7%). County-level socioeconomic and health services supply characteristics, individual-level preventive health behavior, demographic and clinical characteristics are determinants of advanced stage prostate cancer diagnosis among older Medicare beneficiaries; other health care-related factors such as family history, lifestyle choices, and health-seeking behavior should also be considered as explanatory factors.

An ecological approach to monitor geographic disparities in cancer outcomes.

BACKGROUND: Area-level indices are widely used to assess the impact of socio-environmental characteristics on cancer outcomes. While area-level measures of socioeconomic status (SES) have been previously used in cancer settings, fewer studies have focused on evaluating the impact of area-level health services supply (HSS) characteristics on cancer outcomes. Moreover, there is significant variation in the methods and constructs used to create area-level indices. METHODS: In this study, we introduced a psychometrically-induced, reproducible approach to develop area-level HSS and SES indices. We assessed the utility of these indices in detecting the effects of area-level characteristics on prostate, breast, and lung cancer incidence and stage at diagnosis in the US. The information on county-level SES and HSS characteristics were extracted from US Census, County Business Patterns data and Area Health Resource Files. The Surveillance, Epidemiology, and End Results database was used to identify individuals diagnosed with cancer from 2010 to 2012. SES and HSS indices were developed and linked to 3-year age-adjusted cancer incidence rates. SES and HSS indices empirically summarized the level of employment, education, poverty and income, and the availability of health care facilities and health professionals within counties. RESULTS: SES and HSS models demonstrated good fit (TLI = 0.98 and 0.96, respectively) and internal consistency (alpha = 0.85 and 0.95, respectively). Increasing SES and HSS were associated with increasing prostate and breast cancer and decreasing lung cancer incidence rates. The results varied by stage at diagnosis and race. CONCLUSION: Composite county-level measures of SES and HSS were effective in ranking counties and detecting gradients in cancer incidence and stage at diagnosis. Thus, these measures provide valuable tools for monitoring geographic disparities in cancer outcomes.

Preventing Suicide Among Working-Age Adults: The Correlates of Help-Seeking Behavior.

We aimed to identify the correlates with not seeking help among working-age adults with suicidal ideation. By adapting the integrated model of suicide help-seeking, we examined help-seeking behavior in the following 3 stages: problem recognition, decision to seek help, and sources of help. We used a sample of working-age adults between 26 and 64 years old, who reported suicidal ideation in the past year (N = 1414). Data were drawn from the 2011 and 2012 National Survey on Drug Use and Health, and multinomial logistic regression analyses were applied. Findings suggested that being male, being nonwhite, being employed full-time, having lower levels of general mental health needs, and not having health insurance were associated with not seeking help. Results also indicated how each factor was related in the help-seeking pathway. Strategies to help problem recognition can be effective in enhancing help-seeking behavior among men, racial/ethnic minorities, and those without serious clinical conditions. Help-seeking interventions for working-age adults with suicidal ideation should also consider that race/ethnic minorities and those with lower levels of functional impairment might rely on alternative sources of help, such as family, friends, and religious advisors.

Evaluation of MOS social support in low-income caregivers of African American children with poorly controlled asthma.

Objective: The purpose of this study was to examine the factor structure of the Medical Outcomes Study Social Support Survey (MOS-SSS) in a sample of low-income, urban caregivers of African American children with poorly controlled asthma. Although the MOS-SSS is a commonly used measure of social support, its psychometric properties have not been studied in this population. Methods: Confirmatory factor analysis was conducted to determine the most appropriate factor structure for the MOS-SSS in caregivers of African American children with frequent Emergency Department visits for uncontrolled asthma. The following models were tested and compared using established fit statistics: an 18-item second-order four factor model, an 18-item four factor model, a bifactor model and an 18-item one factor model with nested models. Results: Participating caregivers were single (75.6%) and female (97%). An 18-item one factor version of the scale had the best fit statistics compared to the other models tested: χ2 (142) = 308.319, p > 0.001; Root mean square error of approximation (RMSEA) = 0.077; CFI (Comparative Fit Index) = 0.990; and Tucker-Lewis Index (TLI) = 0.988. Construct validity was supported by a statistically significant negative relationship between our final MOS-SSS model and caregiver depressive symptoms ( ß = -0.374, p < 0.001). Conclusions: The 18-item one factor MOS-SSS may be appropriate for use in research and clinical practice with caregivers of African American children with poorly controlled asthma. It appears promising as a mechanism to advance understanding of relationships between social support and asthma outcomes in this vulnerable population.

Exploratory and Confirmatory Factor Analyses of Delirium Symptoms in a Sample of Nursing Home Residents.

OBJECTIVE: This study examined the latent constructs of delirium symptoms among nursing home (NH) residents in the United States. METHOD: Cross-sectional NH assessment data (Minimum Data Set 2.0) from the 2009 Medicare Current Beneficiary Survey were used. Data from two independent, randomly selected subsamples of residents ≥65 years were analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). RESULTS: There were 367 and 366 individuals in the EFA and CFA, respectively. Assessment of multiple model fit statistics in CFA indicated that the two-factor structure provided better fit for the data than a one-factor solution. The two factors represented cognitive and behavioral latent constructs as suggested by the related literature. A correlation of .72 between these constructs suggested moderate discriminant validity. CONCLUSION: This finding emphasizes the importance of health care providers to be attentive to both cognitive and behavioral symptoms when diagnosing, treating, and managing delirium.

The Nursing Performance Instrument: Exploratory and Confirmatory Factor Analyses in Registered Nurses.

BACKGROUND: The optimal performance of nurses in healthcare settings plays a critical role in care quality and patient safety. Despite this importance, few measures are provided in the literature that evaluate nursing performance as an independent construct from competencies. The nine-item Nursing Performance Instrument (NPI) was developed to fill this gap. PURPOSE: The aim of this study was to examine and confirm the underlying factor structure of the NPI in registered nurses. METHOD: The design was cross-sectional, using secondary data collected between February 2008 and April 2009 for the "Fatigue in Nursing Survey" (N = 797). The sample was predominantly dayshift female nurses working in acute care settings. Using Mplus software, exploratory and confirmatory factor analyses were applied to the NPI data, which were divided into two equal subsamples. Multiple fit indices were used to evaluate the fit of the alternative models. RESULTS: The three-factor model was determined to fit the data adequately. The factors that were labeled as "physical/mental decrements," "consistent practice," and "behavioral change" were moderately to strongly intercorrelated, indicating good convergent validity. The reliability coefficients for the subscales were acceptable. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: The NPI consists of three latent constructs. This instrument has the potentialto be used as a self-monitoring instrument that addressesnurses' perceptions of performance while providing patient care.

Exploring the Factor Structure of the Job Demands-Resources Measure With Patient Violence on Direct Care Workers in the Home Setting.

BACKGROUND AND PURPOSE: Workplace violence research in health care settings using the Job Demands-Resources (JD-R) framework is hindered by the lack of comprehensive examination of the factor structure of the JD-R measure when it includes patient violence. Is patient violence a component of job demands or its own factor as an occupational outcome? METHOD: Exploratory factor analysis and confirmatory factor analysis were conducted using a sample of direct care workers in the home setting (n = 961). RESULTS: The overall 2-construct JD-R structure persisted. Patient violence was not identified as a separate factor from job demands; rather, two demand factors emerged: violence/emotional and workload/physical demands. CONCLUSIONS: Although the three-factor model fits the data, the two-factor model with patient violence being a component of job demands is a parsimonious and effective measurement framework.

Differential Predictors of Postpartum Depression and Anxiety: The Edinburgh Postnatal Depression Scale Hebrew Version Two Factor Structure Construct Validity.

Objectives Postpartum anxiety (PPA) is as prevalent and disruptive as postpartum depression (PPD), although less commonly addressed. The Edinburgh Postnatal Depression Scale (EPDS), originally created to screen for PPD, was found to include anxiety and depression subscales. This study examined the construct validity of the EPDS PPD and PPA subscales by examining differential predictors of both in a structural regression model. Methods Women (n = 969) were recruited from a maternity ward in Jerusalem, Israel and completed a demographic survey; 715 (74%) women were screened for PPD and PPA at 6 weeks postpartum using the EPDS. Results History of depression was a significant predictor of PPD symptoms and PPA symptoms. Income and number of past pregnancies were significant predictors of PPA symptoms. Conclusions for practice PPD and PPA have different predictors, suggesting that the EPDS depression and anxiety subscales should be scored separately. Further assessment and treatment should be tailored to specific symptoms of depression and/or anxiety reported.

The factor structure of the Brief Symptom Inventory-18 (BSI-18) in Parkinson disease patients.

OBJECTIVE: Psychological distress is common among Parkinson disease (PD) patients. Screening tools, such as the Brief Symptom Inventory-18 (BSI-18), help clinicians to identify and manage PD patients with psychiatric symptoms. The objective of this study is to test the factor structure of the BSI-18 in PD patients. METHODS: Analysis was conducted on PD patients who had initial visits at a movement disorders center from 2004 to 2015. Univariate analysis was used to describe the distribution of socio-demographic and clinical characteristics. The BSI-18 was used to determine the prevalence of clinically significant psychological distress. Confirmatory factor analyses (CFA) treating BSI-18 items as ordered categorical data were conducted. Five competing models were tested. Multiple fit indices, parsimony, and past theory were used to select the final model. RESULTS: In the study sample (n=1067), 18.7%, 22.5%, 15.4%, and 15.0% of patients had BSI-18 T-scores indicative of clinically significant global psychological distress, somatization, depression, and anxiety, respectively. Of the competing models, the final model chosen was the second-order three-factor structure with somatization, depression, and anxiety loaded on psychological distress. CONCLUSION: The original proposed factor structure of the BSI-18 was validated in this patient population. Consequently, this study confirms the construct validity of the BSI-18 for screening of psychological distress in PD patients. Findings highlight somatization as a particularly important component of psychological distress in PD patients.

Impact of prescription drug monitoring programs (PDMPs) on opioid utilization among Medicare beneficiaries in 10 US States.

BACKGROUND AND AIMS: Prescription Drug Monitoring Programs (PDMPs) are a principal strategy used in the United States to address prescription drug abuse. We (1) compared opioid use pre- and post-PDMP implementation and (2) estimated differences of PDMP impact by reason for Medicare eligibility and plan type. DESIGN: Analysis of opioid prescription claims in US states that implemented PDMPs relative to non-PDMP states during 2007-12. SETTING: Florida, Louisiana, Nebraska, New Jersey, Vermont, Georgia, Wisconsin, Maryland, New Hampshire and Arkansas, USA. PARTICIPANTS: A total of 310 105 disabled and older adult Medicare enrolees. MEASUREMENTS: Primary outcomes were monthly total opioid volume, mean daily morphine milligram equivalent (MME) dose per prescription and number of opioid prescriptions dispensed. The key predictors were PDMP status and time. Tests for moderation examined PDMP impact by Medicare eligibility (disability versus age) and drug plan [privately provided Medicare Advantage (MAPD) versus fee-for-service (PDP)]. FINDINGS: Overall, PDMP implementation was associated with reduced opioid volume [-2.36 kg/month, 95% confidence interval (CI) = -3.44, -1.28] and no changes in mean MMEs or opioid prescriptions 12 months after implementation compared with non-PDMP states. We found evidence of strong moderation effects. In PDMP states, estimated monthly opioid volumes decreased 1.67 kg (95% CI = -2.38, -0.96) and 0.75 kg (95% CI = -1.32, -0.18) among disabled and older adults, respectively, and 1.2 kg, regardless of plan type. MME reductions were 3.73 mg/prescription (95% CI = -6.22, -1.24) in disabled and 3.02 mg/prescription (95% CI = -3.86, -2.18) in MAPD beneficiaries, but there were no changes in older adults and PDP beneficiaries. Dispensed prescriptions increased 259/month (95% CI = 39, 479) among the disabled and decreased 610/month (95% CI = -953, -257) among MAPD beneficiaries. CONCLUSIONS: Prescription drug monitoring programs (PDMPs) are associated with reductions in opioid use, measured by volume, among disabled and older adult Medicare beneficiaries in the United States compared with states that do not have PDMPs. PDMP impact on daily doses and daily prescriptions varied by reason for eligibility and plan type. These findings cannot be generalized beyond the 10 US states studied.

Predictors of substantiated re-reports in a sample of children with initial unsubstantiated reports.

Many children with unsubstantiated reports of child abuse and neglect repeatedly return to the child protection system, indicating that unsubstantiated reports may represent actual child maltreatment or risk for future maltreatment. Identifying patterns of re-reporting and predictors that may be associated with later substantiated re-reporting could help to identify children who are very likely to be maltreated. This knowledge may guide the development of policies and interventions to prevent further maltreatment and the risk for re-reports. The aims of this study were to: (1) measure the period between the time of the initial reports that were not substantiated and the time of first substantiated re-reports; and (2) identify factors associated with the risk of later substantiated re-reporting. The study analyzed secondary data from the Longitudinal Studies on Child Abuse and Neglect (LONGSCAN) through survival analysis. Of the 378 children with initially unsubstantiated reports, 81% were re-reported, of which almost two-thirds were substantiated. Children who were younger, non-white, and had caregivers with more depressive symptoms were at increased risk of a substantiated re-report. Among those that were later substantiated, 20% were substantiated within one year. Findings suggest that targeted preventative services should be developed and provided for families who are reported for the first time, even if not substantiated.

Food swamps and food deserts in Baltimore City, MD, USA: associations with dietary behaviours among urban adolescent girls.

OBJECTIVE: To determine whether living in a food swamp (≥4 corner stores within 0·40 km (0·25 miles) of home) or a food desert (generally, no supermarket or access to healthy foods) is associated with consumption of snacks/desserts or fruits/vegetables, and if neighbourhood-level socio-economic status (SES) confounds relationships. DESIGN: Cross-sectional. Assessments included diet (Youth/Adolescent FFQ, skewed dietary variables normalized) and measured height/weight (BMI-for-age percentiles/Z-scores calculated). A geographic information system geocoded home addresses and mapped food deserts/food swamps. Associations examined using multiple linear regression (MLR) models adjusting for age and BMI-for-age Z-score. SETTING: Baltimore City, MD, USA. SUBJECTS: Early adolescent girls (6th/7th grade, n 634; mean age 12·1 years; 90·7 % African American; 52·4 % overweight/obese), recruited from twenty-two urban, low-income schools. RESULTS: Girls' consumption of fruit, vegetables and snacks/desserts: 1·2, 1·7 and 3·4 servings/d, respectively. Girls' food environment: 10·4 % food desert only, 19·1 % food swamp only, 16·1 % both food desert/swamp and 54·4 % neither food desert/swamp. Average median neighbourhood-level household income: $US 35 298. In MLR models, girls living in both food deserts/swamps consumed additional servings of snacks/desserts v. girls living in neither (ß=0·13, P=0·029; 3·8 v. 3·2 servings/d). Specifically, girls living in food swamps consumed more snacks/desserts than girls who did not (ß=0·16, P=0·003; 3·7 v. 3·1 servings/d), with no confounding effect of neighbourhood-level SES. No associations were identified with food deserts or consumption of fruits/vegetables. CONCLUSIONS: Early adolescent girls living in food swamps consumed more snacks/desserts than girls not living in food swamps. Dietary interventions should consider the built environment/food access when addressing adolescent dietary behaviours.

Validation of the Parenting Stress Index-Short Form With Minority Caregivers.

OBJECTIVES: There has been little examination of the structural validity of the Parenting Stress Index-Short Form (PSI-SF) for minority populations in clinical contexts in the Unites States. This study aimed to test prespecified factor structures (one-factor, two-factor, and three-factor models) of the PSI-SF. METHODS: This study used confirmatory factor analysis in a sample of 240 predominantly Black and Latino caregivers of children with behavioral difficulties. RESULTS: The three-factor model fit was reasonable, and the criterion validity for the subscale and total scores was good supporting continued cautious use of the PSI-SF for clinical minority populations. CONCLUSIONS: The PSI-SF could be integrated as part of screening and intake assessment procedures, which could allow social work practitioners to make more informed decisions about treatment planning, as well as facilitate conversations with caregivers around identifying sources of stress and developing healthy coping strategies.

Assessment of an Expanded Functional Disability Scale for Older Adults With Diabetes.

Although prior literature has shown the plausibility of combining the Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) items to form an expanded scale for measuring the degree of functional decline, this has not been shown in older adults with diabetes who are disproportionately affected by functional disability. Using the 2009 Medicare Current Beneficiary Survey data, we evaluated the factor structure of the pooled ADL and IADL items. Based on our study comprising 2,158 community-dwelling older adults (≥65 years) with diabetes, the unidimensional model exhibited good fit. Despite well-fitting indices, high correlations were observed between the latent constructs (>.70) of the multi-factor models, suggesting a lack of discriminant validity. These findings provide empirical support for a combined scale that can comprehensively and efficiently characterize the extent of functional disability in older adults with diabetes for research, risk adjustment, and evaluation in patient-centered medical homes.

The Effects of Caregiving Resources on Perceived Health among Caregivers.

This study examined how various types of resources influence perceived health of caregivers. Guided by the conservation of resources theory, a caregiver health model was built and tested using structural equation modeling. The caregiver health model consisted of caregiving situations (functional limitations and cognitive impairments of older adults and caregiving time), resources (financial resources, mastery, social support, family harmony, and service utilization), caregiver burden, and perceived health of caregivers. The sample included 1,837 unpaid informal caregivers drawn from the 2004 National Long-Term Caregiver Survey. The model fit indices indicated that the first structural model did not fit well; however, the revised model yielded an excellent model fit. More stressful caregiving situations were associated with fewer resources and higher burden, whereas greater resources were associated with lower burden and better perceived health of caregivers. The results suggest explicit implications for social work research and practice on how to protect the health of caregivers.

Predictors of the Use of Evidence-Based Interventions Among National Association of Social Work (NASW) Members.

There is growing emphasis on the use of evidence-based practice (EBP) in the field of social work.However, much remains unknown about the factors associated with the implementation of evidence-based interventions among social workers. In the current cross-sectional study the authors examined a sample of 180 NASW members who completed a survey assessing knowledge of EBP, organizational climate, and practitioner use of evidence-based interventions (EBI). Logistic regression was used to identify variables that predicted NASW members' self-reported use of EBI. Organizational climate factors and practitioner knowledge were predictive of self-reported EBI use in the sample of NASW members. Findings suggest that increased knowledge of evidence-based practice and higher levels of innovation and flexibility in the organizational climate may increase adoption of EBIs.

The Edinburgh Postnatal Depression Scale: Screening Tool for Postpartum Anxiety as Well? Findings from a Confirmatory Factor Analysis of the Hebrew Version.

OBJECTIVES: The Edinburgh Postnatal Depression Scale (EPDS) was originally created as a uni-dimensional scale to screen for postpartum depression (PPD); however, evidence from various studies suggests that it is a multi-dimensional scale measuring mainly anxiety in addition to depression. The factor structure of the EPDS seems to differ across various language translations, raising questions regarding its stability. This study examined the factor structure of the Hebrew version of the EPDS to assess whether it is uni- or multi-dimensional. METHODS: Seven hundred and fifteen (n = 715) women were screened at 6 weeks postpartum using the Hebrew version of the EPDS. Confirmatory factor analysis (CFA) was used to test four models derived from the literature. RESULTS: Of the four CFA models tested, a 9-item two factor model fit the data best, with one factor representing an underlying depression construct and the other representing an underlying anxiety construct. CONCLUSIONS: for Practice The Hebrew version of the EPDS appears to consist of depression and anxiety sub-scales. Given the widespread PPD screening initiatives, anxiety symptoms should be addressed in addition to depressive symptoms, and a short scale, such as the EPDS, assessing both may be efficient.

Feasibility and Utility of Experience Sampling to Assess Alcohol Consumption Among Older Adults.

In the literature on alcohol use and aging, drinking has often been conceptualized as a means of coping with negative feelings, such as stress, yet much of the literature on older adults and drinking has utilized cross-sectional or other data ill-suited for exploring dynamic processes. Experience sampling methods have the ability to measure and analyze dynamic processes in real time, such as relations between alcohol use and mood states. Nonetheless, these approaches are intensive and may burden respondents. Therefore, this study evaluated the feasibility, acceptability, and validity of a modified daily diary to measure alcohol use and explored alternate methods of collecting diary data. Findings suggest that a modified diary was acceptable and not burdensome. Respondents were reluctant to consider technology (e.g., cellphone)-based means of data collection. Measures of alcohol use showed little within-person variation suggesting that for those who drink at all, drinking is a daily habit.