Developing a Quality Control Protocol for Evaluation of Recorded Interviews

This presentation will describe the process used at the University of Michigan Survey Research Center for evaluating interviewer performance in survey administration. Within the Survey Research Operations unit, we use an online system for evaluating the interviewer-respondent interaction using recorded interviews. We will present our framework for measuring how well interviewers adhere to General Interviewing Techniques (GIT) - the guidelines in which they were trained. The presentation will describe the question-level and session-level measurement criteria employed, in addition to the selection protocols and the integration of paradata into the selection process. The presentation will include analysis of some evaluation data, with a discussion of how the data were used to inform further development of the evaluation protocol. Although some aggregate data will be shared, the presentation will largely focus on the operational considerations related to the development and implementation of the quality control protocol across projects

Developing a Quality Control Protocol for Evaluation of Recorded Interviews

This presentation will describe the process used at the University of Michigan Survey Research Center for evaluating interviewer performance in survey administration. Within the Survey Research Operations unit, we use an online system for evaluating the interviewer-respondent interaction using recorded interviews. We will present our framework for measuring how well interviewers adhere to General Interviewing Techniques (GIT) - the guidelines in which they were trained. The presentation will describe the question-level and session-level measurement criteria employed, in addition to the selection protocols and the integration of paradata into the selection process. The presentation will include analysis of some evaluation data, with a discussion of how the data were used to inform further development of the evaluation protocol. Although some aggregate data will be shared, the presentation will largely focus on the operational considerations related to the development and implementation of the quality control protocol across projects

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

IMPORTANCE: The US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE: To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded posthospitalization care. DESIGN, SETTING, AND PARTICIPANTS: There were 53,769 hospitalizations of active duty soldiers from January 1, 2004, through December 31, 2009, with International Classification of Diseases, Ninth Revision, Clinical Modification psychiatric admission diagnoses. Administrative data available before hospital discharge abstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and medical or pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees and penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOMES AND MEASURES: Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS: Sixty-eight soldiers died by suicide within 12 months of hospital discharge (12.0% of all US Army suicides), equivalent to 263.9 suicides per 100,000 person-years compared with 18.5 suicides per 100,000 person-years in the total US Army. The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and late age of enlistment [OR, 1.9; 95% CI, 1.0-3.5]), criminal offenses (verbal violence [OR, 2.2; 95% CI, 1.2-4.0] and weapons possession [OR, 5.6; 95% CI, 1.7-18.3]), prior suicidality [OR, 2.9; 95% CI, 1.7-4.9], aspects of prior psychiatric inpatient and outpatient treatment (eg, number of antidepressant prescriptions filled in the past 12 months [OR, 1.3; 95% CI, 1.1-1.7]), and disorders diagnosed during the focal hospitalizations (eg, nonaffective psychosis [OR, 2.9; 95% CI, 1.2-7.0]). A total of 52.9% of posthospitalization suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3824.1 suicides per 100,000 person-years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse posthospitalization outcomes (unintentional injury deaths, suicide attempts, and subsequent hospitalizations). CONCLUSIONS AND RELEVANCE: The high concentration of risk of suicide and other adverse outcomes might justify targeting expanded posthospitalization interventions to soldiers classified as having highest posthospitalization suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects

The association between bilingual semantic fluency and episodic memory among bilingual Mexican American older adults.

BackgroundBilingualism is increasingly common in older adults in the US and may impact the expression and course of Alzheimer’s Disease and related dementias (ADRD). Optimal methods for assessing cognition in population-based studies of bilingual older adults are not established. Given that declines in semantic fluency are associated with declines in episodic memory in ADRD, we examined the degree to which animal naming in English and Spanish is associated with memory performance in a sample of bilingual Mexican American (MA) older adults.MethodThe Brain Attack Surveillance in Corpus Christi-Cognitive study is a population-based study of cognition in MA and non-Hispanic white adults 65+ in south Texas. We included US-born, bilingual MA participants who completed in-person neuropsychological assessment in their preferred language (English) with the Harmonized Cognitive Assessment Protocol. We added a Spanish animal naming trial to the standard animal naming trial in English. We used the delayed recall score from a word list as the indicator of memory performance. We performed a series of regression analyses with delayed recall as the dependent variable and the English and Spanish animal naming scores as the independent variables, with age, sex, years of education, and a self-reported bilingualism index score to account for level of bilingualism (range 0–1; 0 indicates monolingual Spanish; 1 indicates monolingual English) as covariates.ResultNinety-six participants were included (Mage = 73yrs±6; Meducation = 11±4; 60% women; Table 1). In separate regression models including covariates, English animal naming (b = 0.25, p<.0001) and Spanish animal naming (b = 0.20, p <.05) were each associated with delayed recall. When considered together, English animal naming (b = 0.24, p = <.0001) and not Spanish animal naming (b = 0.03, p = .69) was associated with delayed recall, after accounting for age, sex, years of education, and level of bilingualism (Table 2). Results were consistent when the analysis was restricted to balanced bilinguals (Table 3).ConclusionSemantic fluency in English and Spanish were each related to episodic memory among bilingual MA older adults assessed in English, although the Spanish trial did not add unique information in its association with episodic memory. Future studies should evaluate how bilingual semantic fluency is associated with longitudinal cognitive decline in ADRD.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/175536/1/alz065971.pd

Supplemental Material - Exploring Pathways to Caregiver Health: The Roles of Caregiver Burden, Familism, and Ethnicity

Supplemental Material for Exploring Pathways to Caregiver Health: The Roles of Caregiver Burden, Familism, and Ethnicity by Roshanak Mehdipanah, Emily M. Briceño, Madelyn Malvitz, Wen Chang, Lisa Lewandowski, Steven G. Heeringa, Deborah A. Levine, Darin B. Zahuranec, Kenneth M. Langa, Xavier F. Gonzales, Nelda Garcia, and Lewis B. Morgenstern in Journal of Aging and Health.</p

Predicting suicides after psychiatric hospitalization in US army soldiers:The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

IMPORTANCE: The U.S. Army experienced a sharp rise in suicides beginning in 2004. Administrative data show that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE: To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded post-hospital care. DESIGN, SETTING, AND PARTICIPANTS: There were 53,769 hospitalizations of active duty soldiers in 2004–2009 with ICD-9-CM psychiatric admission diagnoses. Administrative data available prior to hospital discharge abstracted from a wide range of data systems (socio81 demographic, Army career, criminal justice, medical/pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees, penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOME: Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS: 68 soldiers died by suicide within 12 months of hospital discharge (12.0% of all Army suicides), equivalent to 263.9 suicides/100,000 person-years compared to 18.5 suicides/100,000 person-years in the total Army. Strongest predictors included socio-demographics (male, late age of enlistment), criminal offenses (verbal violence, weapons possession), prior suicidality, aspects of prior psychiatric inpatient and outpatient treatment, and disorders diagnosed during the focal hospitalizations. 52.9% of post-hospital suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3,824.1 suicides/100,000 person years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse post-hospital outcomes (unintentional injury deaths, suicide attempts, re-hospitalizations). CONCLUSIONS AND RELEVANCE: The high concentration of risk of suicides and other adverse outcomes might justify targeting expanded post-hospital interventions to soldiers classified as having highest post-hospital suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects

Suicide attempts in U.S. Army combat arms, special forces and combat medics

Background: The U.S. Army suicide attempt rate increased sharply during the wars in Iraq and Afghanistan. Risk may vary according to occupation, which significantly influences the stressors that soldiers experience. Methods: Using administrative data from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS), we identified person-month records for all active duty Regular Army enlisted soldiers who had a medically documented suicide attempt from 2004 through 2009 (n = 9650) and an equal-probability sample of control person-months (n = 153,528). Logistic regression analyses examined the association of combat occupation (combat arms [CA], special forces [SF], combat medic [CM]) with suicide attempt, adjusting for socio-demographics, service-related characteristics, and prior mental health diagnosis. Results: In adjusted models, the odds of attempting suicide were higher in CA (OR = 1.2 [95% CI: 1.1–1.2]) and CM (OR = 1.4 [95% CI: 1.3–1.5]), but lower in SF (OR = 0.3 [95% CI: 0.2–0.5]) compared to all other occupations. CA and CM had higher odds of suicide attempt than other occupations if never deployed (ORs = 1.1–1.5) or previously deployed (ORs = 1.2–1.3), but not when currently deployed. Occupation was associated with suicide attempt in the first ten years of service, but not beyond. In the first year of service, primarily a time of training, CM had higher odds of suicide attempt than both CA (OR = 1.4 [95% CI: 1.2–1.6]) and other occupations (OR = 1.5 [95% CI: 1.3–1.7]). Discrete-time hazard functions revealed that these occupations had distinct patterns of monthly risk during the first year of service. Conclusions: Military occupation can inform the understanding suicide attempt risk among soldiers. Electronic supplementary material The online version of this article (doi:10.1186/s12888-017-1350-y) contains supplementary material, which is available to authorized users