Lack of consistency in measurement methods and semantics used for network measures in adolescent health behaviour studies using social network analysis: a systematic review.

BACKGROUND: Social network analysis (SNA) is often used to examine how social relationships influence adolescent health behaviours, but no study has documented the range of network measures used to do so. We aimed to identify network measures used in studies on adolescent health behaviours. METHODS: We conducted a systematic review to identify network measures in studies investigating adolescent health behaviours with SNA. Measures were grouped into eight categories based on network concepts commonly described in the literature: popularity, position within the network, network density, similarity, nature of relationships, peer behaviours, social norms, and selection and influence mechanisms. Different subcategories were further identified. We detailed all distinct measures and the labels used to name them in included articles. RESULTS: Out of 6686 articles screened, 201 were included. The categories most frequently investigated were peer behaviours (n=201, 100%), position within the network (n=144, 71.6%) and popularity (n=110, 54.7%). The number of measurement methods varied from 1 for 'similarity on popularity' (within the 'similarity' category) to 28 for the 'characterisation of the relationship between the respondent and nominated peers' (within the 'nature of the relationships' category). Using the examples of 'social isolation', 'group membership', 'individuals in a central position' (within the 'position within the network' category) and 'nominations of influential peers' (sub within the 'popularity' category), we illustrated the inconsistent reporting and heterogeneity in measurement methods and semantics. CONCLUSION: Robust methodological recommendations are needed to harmonise network measures in order to facilitate comparison across studies and optimise public health intervention based on SNA.

Validation of the German language version of the Chronic Ear Survey and its psychometric comparison with an established German measurement instrument.

BACKGROUND: With the Chronic Ear Survey (CES), a validated measurement instrument for the assessment of disease-specific health-related quality of life (HRQoL) has been available internationally since 2000. The aim of this study was to provide a validated German version of this international instrument and to compare it with the German Chronic Otitis Media Outcome Test 15 (COMOT-15). METHODOLOGY: The CES was translated into German via a forward-backward translation process. For validation, 79 patients with COM undergoing middle ear surgery were prospectively included. HRQoL was determined preoperatively and 6 months postoperatively using the CES and the COMOT-15. Pure tone audiometry was also performed at both measurement time points. In the control examination, an additional retrospective assessment of the preoperative situation was additionally performed using the CES and the COMOT-15 to assess the response shift. The determined psychometric characteristics were internal consistency, test-retest reliability, discrimination validity, agreement validity, responsiveness, and response shift for both measurement instruments. Convergent validity of both measurement instruments was assessed using linear regression. RESULTS: On the basis of the CES, patients with COM could be reliably distinguished from patients with healthy ears. The CES showed satisfactory reliability with high internal consistency (Cronbach α 0.65-0.85) and high retest reliability (r > 0.8). The global assessment of HRQoL impairment correlated very well with the scores of the CES (r = 0.51). In addition, it showed a high sensitivity to change (standardized response mean -0.86). Compared to the COMOT-15, it showed a lower response shift (effect size -0.17 vs. 0.44). Both measurement instruments correlated only slightly with air conduction hearing threshold (r = 0.29 and r = 0.24, respectively). The concordant validity of both measurement instruments was high (r = 0.68). CONCLUSION: The German version of the CES shows satisfactory psychometric characteristics, so that its use can be recommended. The CES focuses on the influence of ear symptoms on HRQoL, whereas the COMOT-15 also includes functional and psychological aspects. Due to only minor response shift effects, the CES is particularly suitable for studies with multiple repeat measurements.

Evidence of telescoping in females across two decades of US treatment admissions for injection drug use: 2000-2020.

Background: People who inject drugs (PWID) have an increased risk of soft tissue infection, drug overdose and death. Females may be particularly vulnerable due to barriers to substance use disorder (SUD) treatment entry, stigma, and telescoping, or the greater severity in substance use-related comorbidity and consequences despite a shorter history of use. We set out to identify sex differences in United States injection drug use (IDU). Methods: The Treatment Episode Dataset-Admission (2000-2020) provided data to identify PWID undergoing their initial SUD treatment admission. Mann-Whitney U test, chi-square, and Spearman correlations were used for ordinal variables, categorical variables, and to assess similarity of male/female trends over the 21 years, respectively. The probabilistic index (PI) and Cramer's V provided effect sizes for Mann-Whitney U tests and chi-square tests, respectively. Results: A total of 13,612,978 records existed for cases entering their initial treatment. Mapping to a history of IDU left 1,458,695 (561,793 females). Females had a higher prevalence among PWID across all 21 years; IDU trends were essentially identical between males and females (r = 0.97). Females endorsed beginning their primary substance later in life (PI = 0.47, p < 0.0001) and entered treatment after a shorter period of substance use (PI = 0.57, p < 0.0001). Conclusions: We saw evidence of telescoping among PWID with a SUD entering their initial episode of treatment. Interventions should be implemented prior to the transition to IDU, and this window of opportunity is shortened in females. Utilizing gender-responsive treatment options may be a way to increase treatment-seeking earlier in the disease course.

Recovery Capital Gains May Precede Craving Reduction in Opioid Use Disorder.

Purpose: Cravings for drugs and alcohol have been significantly associated with worse treatment outcomes. We investigated if improvements in recovery capital (RC) (eg, a measure of social capital/network, financial resources, education, and cultural factors) over time were associated with decreased reported cravings. Patients and Methods: The original cohort consisted of 133 participants (63 females) with opioid use disorder seeking outpatient treatment, who completed the Assessment of Recovery Capital (ARC) (range 0 to 50) and the Brief Addiction Monitor (BAM) thrice over the 6-month study. Intervention was medication and case management. Analysis included one-way mixed models testing change over time for ARC total scores and single question craving rating (5-point Likert scale). Cross-lagged panel estimates used structural equation models with variables z-scored, allowing for path coefficient evaluation as standard deviations (sd). Results: Total ARC significantly increased over the study (χ2 = 33.77, df = 2, p < 0.0001), with baseline of 36.6 (n = 114, sd = 11.1) and 6-month of 41.2 (n = 107, sd = 9.5). Craving also changed significantly (χ2 = 8.51, df = 2, p < 0.015), with baseline of 1.1 (n = 101, sd = 1.2) and 6-month of 0.9 (n = 107, sd = 1.1). The cross-lag from baseline RC to 3-month craving was significant (ß = -0.28, SE = 0.11, z = -2.53, p < 0.011). The converse was not true; baseline craving did not affect later RC. Results were similarly significant when comparing 3-month to 6-month. The majority of sample was on buprenorphine. Conclusion: As RC improves, the reported cravings at both 3- and 6-month study time points are significantly reduced. When evaluated inversely, there was not a significant association with baseline cravings and follow-up RC. Significant path coefficients provide an estimation of a directional effect from increased RC towards craving reduction.

[Validation of the German language version of the Chronic Ear Survey and its psychometric comparison with an established German language measurement instrument. German version]. / Validierung der deutschsprachigen Version des Chronic Ear Survey und dessen psychometrischer Vergleich mit einem etablierten deutschsprachigen Messinstrument.

BACKGROUND: With the Chronic Ear Survey (CES), a validated measurement instrument for the assessment of disease-specific health-related quality of life (HRQoL) has been available internationally since 2000. The aim of this study was to provide a validated German version of this international instrument and to compare it with the German Chronic Otitis Media Outcome Test 15 (COMOT-15). METHODOLOGY: The CES was translated into German via a forward-backward translation process. For validation, 79 patients with COM undergoing middle ear surgery were prospectively included. HRQoL was determined preoperatively and 6 months postoperatively using the CES and the COMOT-15. Pure tone audiometry was also performed at both measurement time points. In the control examination, an additional retrospective assessment of the preoperative situation was additionally performed using the CES and the COMOT-15 to assess the response shift. The determined psychometric characteristics were internal consistency, test-retest reliability, discrimination validity, agreement validity, responsiveness, and response shift for both measurement instruments. Convergent validity of both measurement instruments was assessed using linear regression. RESULTS: On the basis of the CES, patients with COM could be reliably distinguished from patients with healthy ears. The CES showed satisfactory reliability with high internal consistency (Cronbach α 0.65-0.85) and high retest reliability (r > 0.8). The global assessment of HRQoL impairment correlated very well with the scores of the CES (r = 0.51). In addition, it showed a high sensitivity to change (standardized response mean -0.86). Compared to the COMOT-15, it showed a lower response shift (effect size -0.17 vs. 0.44). Both measurement instruments correlated only slightly with air conduction hearing threshold (r = 0.29 and r = 0.24, respectively). The concordant validity of both measurement instruments was high (r = 0.68). CONCLUSION: The German version of the CES shows satisfactory psychometric characteristics, so that its use can be recommended. The CES focuses on the influence of ear symptoms on HRQoL, whereas the COMOT-15 also includes functional and psychological aspects. Due to only minor response shift effects, the CES is particularly suitable for studies with multiple repeat measurements.

Current approaches in the recognition and management of eating disorders.

Eating disorders are now well acknowledged mental health problems that are common and present in people from diverse sociodemographic backgrounds. The past decade has seen a rapid expansion in research into eating disorder interventions. In response to the increasing burden of eating disorders, the Australian Government Department of Health and Aged Care has implemented significant policy changes to improve patient access to Medicare and inpatient treatment facilities. There are several international clinical practice guidelines and a robust evidence base particularly for first line care with specific psychological therapies, including guidelines for the management of eating disorders in individuals with a high weight. Medications play an important adjunct role in care, and novel neuromodulating treatments, such as psychostimulants, are under study. There is emerging evidence for increased person-centred care, with more choice in the form of alternatives to hospital inpatient programs and more respectful consideration of care for all who experience an eating disorder, including people with high weight.

Longitudinal and self-attributed change in alcohol use among young adults during the COVID-19 pandemic in Australia.

INTRODUCTION: The COVID-19 pandemic introduced a unique concern regarding the potential for pandemic-related increases in alcohol use. However, most studies which have measured pandemic-related changes to date utilise self-attribution measures of changes in alcohol use using cross-sectional designs, which rely on accurate self-attributions for validity. There has been minimal investigation of correspondence of self-attributed and longitudinally measured changes in alcohol use during the pandemic. The current study seeks to examine this correspondence. METHODS: A total of 856 participants originally recruited from Australian secondary schools completed follow-up surveys of an ongoing study at two timepoints (2018-2019, mean age 18.6 and 2020-2021, mean age 19.9; 65.3% female). Alcohol use was measured as any drinking (1+ drinks) and binge drinking (5+ drinks) frequency in the past 6 months. The correspondence and relationship between 'longitudinal change' measured from the first to the second timepoint and 'self-attributed change' measured at the second timepoint were examined. RESULTS: For both any drinking and binge drinking frequency, moderate correspondence was observed between self-attributed and longitudinal change in drinking (37.1% and 39.3%). Most participants with longitudinal increases in any drinking or binge drinking frequency failed to correctly self-attribute this increase. DISCUSSION AND CONCLUSIONS: The findings suggest that self-attributed increases do not correspond well with longitudinally measured increases in pandemic-related drinking and may underestimate increases measured longitudinally. Method of measurement needs to be taken into account if data are to be used to identify sub-groups at risk of alcohol use increases and facilitate appropriate direction of public health efforts.

Epidemiology of SARS-CoV-2 during the first three waves in Scotland: a national record linkage study.

BACKGROUND: The early COVID-19 pandemic in Scotland-defined as the era before widespread access to vaccination and monoclonal antibody treatment-can be characterised into three distinct waves: March-July 2020, July 2020-April 2021 and May-August 2021. Each wave was met with various societal restrictions in an effort to reduce disease transmission and associated morbidity and mortality. Understanding the epidemiology of infections during these waves can provide valuable insights into future pandemic planning. METHODS: Scottish RT-PCR testing data reported up until 8 August 2021, the day prior to most restrictions being lifted in Scotland, were included. Demographic characteristics including age, sex and social deprivation associated with transmission, morbidity and mortality were compared across waves. A case-control analysis for each wave was then modelled to further compare risk factors associated with death over time. RESULTS: Of the 349 904 reported cases, there were 18 099, 197 251 and 134 554 in waves 1, 2 and 3, respectively. Hospitalisations, intensive care unit admissions and deaths appeared highest in wave 2, though risk factors associated with COVID-19 death remained similar across the waves. Higher deprivation and certain comorbidities were associated with higher deaths in all waves. CONCLUSIONS: Despite the higher number of cases reported in waves 2 and 3, case fatality rates were lower: likely a combination of improved detection of infections in younger age groups, introduction of social measures and vaccination. Higher social deprivation and comorbidities resulted in higher deaths for all waves.

Measuring progress towards reaching zero new HIV acquisitions among key populations in Québec (Canada) using routine surveillance data: a mathematical modelling study.

INTRODUCTION: Men who have sex with men (MSM) and people who inject drugs (PWID) are disproportionately impacted by the HIV epidemic in Canada. Having the second-highest provincial diagnosis rate, an improved understanding of the epidemic among these populations in Québec could aid ongoing elimination efforts. We estimated HIV incidence and other epidemic indicators among MSM and PWID in Montréal and across Québec using a back-calculation model synthesizing surveillance data. METHODS: We developed a deterministic, compartmental mathematical model stratified by age, HIV status and disease progression, and clinical care stages. Using AIDS and HIV diagnoses data, including self-reported time since the last negative test and laboratory results of CD4 cell count at diagnosis, we estimated HIV incidence in each population over 1975-2020 by modelling a cubic M-spline. The prevalence, undiagnosed fraction, fraction diagnosed that started antiretroviral treatment (ART) and median time to diagnosis were also estimated. Since the COVID-19 pandemic disrupted testing, we excluded 2020 data and explored this in sensitivity analyses. RESULTS: HIV incidence in all populations peaked early in the epidemic. In 2020, an estimated 97 (95% CrI: 33-227) and 266 (95% CrI: 103-508) HIV acquisitions occurred among MSM in Montréal and Québec, respectively. Among PWID, we estimated 2 (95% CrI: 0-14) and 6 (95% CrI: 1-26) HIV acquisitions in those same regions. With 2020 data, unless testing rates were reduced by 50%, these estimates decreased, except among Québec PWID, whose increased. Among all, the median time to diagnosis shortened to <2 years before 2020 and the undiagnosed fraction decreased to <10%. This fraction was higher in younger MSM, with 22% of 15-24 year-olds living with HIV in Montréal (95% CrI: 9-39%) and 31% in Québec (95% CrI: 17-48%) undiagnosed by 2020 year-end. Finally, ART access neared 100% in all diagnosed populations. CONCLUSIONS: HIV incidence has drastically decreased in MSM and PWID across Québec, alongside significant improvements in diagnosis and treatment coverage-and the 2013 introduction of pre-exposure prophylaxis. Despite this, HIV transmission continued. Effective efforts to halt this transmission and rapidly diagnose people who acquired HIV, especially among younger MSM, are needed to achieve elimination. Further, as the impacts of the COVID-19 pandemic on HIV transmission are understood, increased efforts may be needed to overcome these.

Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review.

INTRODUCTION: Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices. METHODS: In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears. RESULTS: In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices. CONCLUSIONS: The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.

Self-perception of orofacial appearance: Brazil-Finland cross-national study.

OBJECTIVE: (i) To study the measurement invariance of Orofacial Esthetic Scale (OES) and Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ), (ii) to compare the perception of orofacial appearance (OA) and (iii) to study the frequency of individuals who have sought or received aesthetic dental treatment between Brazil and Finland. METHODS: This was a cross-sectional observational study with snowball non-probability sample selection. Students and staff from universities in Finland and Brazil were invited to participate. Data were collected online using a demographic questionnaire, OES and PIDAQ. The samples consisted of 3636 Finns (75.0% female; age: 32.0 years) and 1468 Brazilians (72.6% female; age: 33.2 years). The frequency of receiving aesthetic dental treatment was estimated. If configurational invariance was observed, cross-national measurement invariance was verified by multigroup analysis. When measurement invariance was attested, factor scores were compared using Welch's t-test. RESULTS: OES showed configurational and measurement invariance and no significant difference between the countries. Despite similarity in satisfaction with OA, 71.9% of Brazilians had received aesthetic dental treatment, while 59.4% of Finns had never sought such treatments. PIDAQ did not present configurational invariance between the countries. CONCLUSION: Although there is no difference in satisfaction with OA, seeking and receiving aesthetic dental treatment is significantly greater for Brazilians. Psychosocial impact of OA is perceived differently in the studied countries.

Physical work exposure matrix for use in the UK Biobank.

BACKGROUND: UK Biobank (UKB) is a large prospective cohort capturing numerous health outcomes, but limited occupational information (job title, self-reported manual work and occupational walking/standing). AIMS: To create and evaluate validity of a linkage between UKB and a job exposure matrix for physical work exposures based on the US Occupational Information Network (O*NET) database. METHODS: Job titles and UK Standard Occupational Classification (SOC) codes were collected during UKB baseline assessment visits. Using existing crosswalks, UK SOC codes were mapped to US SOC codes allowing linkage to O*NET variables capturing numerous dimensions of physical work. Job titles with the highest O*NET scores were assessed to evaluate face validity. Spearman's correlation coefficients were calculated to compare O*NET scores to self-reported UKB measures. RESULTS: Among 324 114 participants reporting job titles, 323 936 were linked to O*NET. Expected relationships between scores and self-reported measures were observed. For static strength (0-7 scale), the median O*NET score was 1.0 (e.g. audiologists), with a highest score of 4.88 for stone masons and a positive correlation with self-reported heavy manual work (Spearman's coefficient = 0.50). For time spent standing (1-5 scale), the median O*NET score was 2.72 with a highest score of 5 for cooks and a positive correlation with self-reported occupational walking/standing (Spearman's coefficient = 0.56). CONCLUSIONS: While most jobs were not physically demanding, a wide range of physical work values were assigned to a diverse set of jobs. This novel linkage of a job exposure matrix to UKB provides a potentially valuable tool for understanding relationships between occupational exposures and disease.

The prevalence of tinnitus in the Australian working population.

OBJECTIVES: To estimate the prevalence of tinnitus in Australian working people; to identify occupational and demographic factors associated with tinnitus. DESIGN: Cross-sectional national telephone survey of self-reported frequency and duration of tinnitus. SETTING, PARTICIPANTS: Australian Workplace Exposure Survey (AWES) - Hearing; 4970 currently employed people aged 18-64 years, recruited by random digit dialling, representative by sex of the workforce population, 7 June 2016 - 20 March 2017. MAIN OUTCOME MEASURES: Prevalence of occasional, intermittent, and constant tinnitus, and of any tinnitus, by occupational group, sex, and other demographic characteristics; estimated numbers of working people with constant or any tinnitus, by occupational group and sex. RESULTS: Of 4970 respondents, 1317 reported experiencing tinnitus (26.5%): 713 people had occasional tinnitus (14.3%), 259 intermittent tinnitus (5.2%), and 345 constant tinnitus (6.9%). The sample prevalence of constant tinnitus was greater among men (7.5%; 95% CI, 6.2-8.7%) than women (3.3%; 95% CI, 2.3-4.3%), and was higher in older age groups. After rake weighting our survey responses, we estimated that 2.4 million workers (24.8%; 95% CI, 23.2-26.4%) experience tinnitus, including 529 343 with constant tinnitus (5.5%; 95% CI, 4.6-6.3%). The estimated prevalence of constant tinnitus was highest for automotive workers (16.7%; 95% CI, 9.5-23.8%), drivers (13.0%; 95% CI, 7.3-18.6%), farmers (12.1%; 95% CI, 5.9-18.4%), and workers in other trades (10.4%; 95% CI, 4.6-16.2%). CONCLUSIONS: The prevalence of tinnitus in the Australian workforce is high, particularly in certain occupations. Workplace practices and conditions that increase the risk of tinnitus should be examined, and targeted workplace prevention strategies developed.

Barbiturate-related hospitalisations, drug treatment episodes, and deaths in Australia, 2000-2018.

OBJECTIVES: To determine the characteristics and population rates of barbiturate-related hospitalisations, treatment episodes, and deaths in Australia, 2000-2018. DESIGN, SETTING: Analysis of national data on barbiturate-related hospitalisations (National Hospital Morbidity Database, 1999-2000 to 2017-18), drug treatment episodes (Alcohol and Other Drug Treatment Services National Minimum Data Set, 2002-03 to 2017-18), and deaths (National Coronial Information System, 2000-01 to 2016-17). MAIN OUTCOME MEASURES: Population rates directly age-standardised to the 2001 Australian standard population; average annual percentage change (AAPC) in rates estimated by Joinpoint regression. RESULTS: We identified 1250 barbiturate-related hospitalisations (791 cases of deliberate self-harm [63%]), 993 drug treatment episodes (195 cases with barbiturates as the principal drug of concern [20%]), and 511 deaths during the respective analysis periods. The barbiturate-related hospitalisation rate declined from 0.56 in 1999-2000 to 0.14 per 100 000 population in 2017-18 (AAPC, -6.0%; 95% CI, -7.2% to -4.8%); the declines in hospitalisations related to accidental poisoning (AAPC, -5.8%; 95% CI, -9.1% to -2.4%) and intentional self-harm (AAPC, -5.6%; 95% CI, -6.9% to -4.2%) were each statistically significant. Despite a drop from 0.67 in 2002-03 to 0.23 per 100 000 in 2003-04, the drug treatment episode rate did not decline significantly (AAPC, -6.7%; 95% CI, -16% to +4.0%). The population rate of barbiturate-related deaths increased from 0.07 in 2000-01 to 0.19 per 100 000 population in 2016-17 (AAPC, +9.3%; 95% CI, +6.2-12%); the rate of intentional self-harm deaths increased (AAPC, +11%; 95% CI, +7.4-15%), but not that of accidental deaths (AAPC, -0.3%; 95% CI, -4.1% to +3.8%). CONCLUSIONS: While prescribing and community use of barbiturates has declined, the population rate of intentional self-harm using barbiturates has increased. The major harm associated with these drugs is now suicide.

Incidence of Complicated Appendicitis as a Metric of Health Care Delivery.

BACKGROUND: Complicated acute appendicitis (CAA) has been linked to extremes of age, racial and socioeconomic disparities, public insurance, and remote residency. CAA rate has been used from 2005 to 2018 as a health care quality metric, with the assumption that delay in treatment was a main cause of perforation. We studied factors that could contribute to CAA focusing on modifiable factors which could be altered as part of a health care delivery system. MATERIALS AND METHODS: All primary admissions for acute appendicitis (AA) from the 2010 Nationwide Inpatient Sample were linked to 2010 state-level physician density data. CAA was distinguished by codes for perforation, generalized peritonitis, or intra-abdominal abscess. A multivariable logistic regression model for CAA prediction was built. RESULTS: A total of 288 556 patients were admitted with AA and 86 272 (29.9%) had CAA. Independent factors, linked to CAA, included age outside the 10-39 range (odds ratio (OR) = 2.1-2.4 and all P < .001), male gender (OR = 1.2), malnutrition (OR = 6.2), diabetes mellitus (OR = 2.1), chronic anemias (OR = 1.9), nonprivate insurances (OR 1.2-1.5), nonmetropolitan patient's residence (OR = 1.15), and Midwest region (OR = 1.2). Patient income and physician coverage were not significant factors after adjustment for all other covariates. Highest CAA fraction of 39.6% was noted in rural patients admitted to urban teaching facilities. DISCUSSION: Although provider coverage at the state level may seem adequate and not related to increased CAA rates, the distance patients traveled for their definitive surgical care correlated with higher rates of CAA. Adjusting physician distribution into nonurban settings closer to patients could decrease rates of CAA by diminishing time to definitive care.

Choice of measurement approach for area-level social determinants of health and risk prediction model performance.

OBJECTIVE: The objective of this paper is to provide empirical guidance by comparing the performance of six different area-level SDoH measurement approaches in predicting patient referral to a social worker and hospital admission after a primary care visit. METHODS: We compared the performance of six area-level SDoH measurement approaches in predicting patient referral to a social worker and hospital admission after a primary care visit using random forest classification algorithm. Data came from 209,605 patient encounters at a federally qualified health center. Models with each area-based measurement approach were compared against the patient-level data only model using area under the curve, sensitivity, specificity, and precision. RESULTS: Addition of area-level features to patient-level data improved the overall performance of models predicting need for a social worker referral. Entering area-level measures as individual features resulted in highest model performance. CONCLUSION: Researchers seeking to include area-level SDoH measures in risk prediction may be able to forego more complex measurement approaches.

Identifying priority and bright spot areas for improving diabetes care: a geospatial approach.

The objective of this study was to describe a novel geospatial methodology for identifying poor-performing (priority) and well-performing (bright spot) communities with respect to diabetes management at the ZIP Code Tabulation Area (ZCTA) level. This research was the first phase of a mixed-methods approach known as the focused rapid assessment process (fRAP). Using data from the Lehigh Valley Health Network in eastern Pennsylvania, geographical information systems mapping and spatial analyses were performed to identify diabetes prevalence and A1c control spatial clusters and outliers. We used a spatial empirical Bayes approach to adjust diabetes-related measures, mapped outliers and used the Local Moran's I to identify spatial clusters and outliers. Patients with diabetes were identified from the Lehigh Valley Practice and Community-Based Research Network (LVPBRN), which comprised primary care practices that included a hospital-owned practice, a regional practice association, independent small groups, clinics, solo practitioners and federally qualified health centres. Using this novel approach, we identified five priority ZCTAs and three bright spot ZCTAs in LVPBRN. Three of the priority ZCTAs were located in the urban core of Lehigh Valley and have large Hispanic populations. The other two bright spot ZCTAs have fewer patients and were located in rural areas. As the first phase of fRAP, this method of identifying high-performing and low-performing areas offers potential to mitigate health disparities related to diabetes through targeted exploration of local factors contributing to diabetes management. This novel approach to identification of populations with diabetes performing well or poor at the local community level may allow practitioners to target focused qualitative assessments where the most can be learnt to improve diabetic management of the community.