Large Data Sets Are Powerful

Pandiani, John A.; Banks, Steven M.

doi:10.1176/appi.ps.54.5.745

Cited by 16 publications

(12 citation statements)

References 1 publication

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“…Despite the limitations noted above, large administrative databases are inclusive, cost-effective, and allow investigations of treatment administered in real world settings with diverse populations, including subpopulations rarely included in clinical trials (Pandiana & Banks, 2003). Medicaid datasets offer detailed information on beneficiaries, minimize attrition due to lost contact over time, and can readily be used at minimal cost because the data are already in place.…”

Section: Study Limitationsmentioning

confidence: 99%

The Relationship of Antipsychotic Medication Class and Adherence with Treatment Outcomes and Costs for Florida Medicaid Beneficiaries with Schizophrenia

Becker

Young

Ochshorn

et al. 2007

Adm Policy Ment Health

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While some studies show a significant advantage in adherence rates with use of atypical versus typical antipsychotic medication, others show no advantage or mixed results (Jones et al. (2006). Archives of General Psychiatry, 63, 1079-1087; Rosenheck, (2006). Archives of General Psychiatry, 63, 1074-1076). This study examined treatment outcomes and costs associated with adherence rates by antipsychotic medication class for adult Medicaid beneficiaries in Florida diagnosed with schizophrenia. Outcomes examined include arrests, involuntary commitments, and physical and behavioral healthcare costs. Study findings demonstrate that medication adherence for persons with schizophrenia may be as important to treatment costs and benefits as the class of medication used.

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Section: Study Limitationsmentioning

confidence: 99%

The Relationship of Antipsychotic Medication Class and Adherence with Treatment Outcomes and Costs for Florida Medicaid Beneficiaries with Schizophrenia

Becker

Young

Ochshorn

et al. 2007

Adm Policy Ment Health

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“…At the same time, large data sets emerging from broad surveys such as those presented here increase the likelihood of obtaining an adequate level of variability in responses concerning uncommon behaviors (e.g., substance use or delinquent behavior across a community sample of adolescents). This greater level of inclusiveness, in turn, provides stronger confidence in the validity of the results of the study (Pandiani and Banks 2003). Thus, large-scale versus site-focused research strategies should not be seen as competing methodological approaches, but instead, should be considered complimentary.…”

mentioning

confidence: 99%

Delinquent Behavior Across Adolescence: Investigating the Shifting Salience of Key Criminological Predictors

2010

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This study examines the impact of changes in the influence of several individual-level constructs (e.g., risk-seeking, family, peers, attitudes) on involvement in substance use and delinquent behavior during mid to late adolescence. Data were drawn from the longitudinal evaluation of the Gang Resistance, Education, and Training (G.R.E.A.T.) program. The final pooled time series samples used in the analyses were n ¼ 2,515 in the delinquency model (original sample: n ¼ 847) and n ¼ 2,250 in the substance use model (original sample: n ¼ 849). Fixed effects negative binomial modeling indicated that: (1) changes in

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“…First, this study relied on administrative data. Although administrative data sets have a number of advantages (Pandiani & Banks, 2003), their shortcomings include incomplete or inaccurate records, unavailability of certain important data elements (e.g., presence of mental health problems, daycare or school attendance), inconsistent coding of maltreatment incidents, and regional differences. Second, the construction of the severity measure was based on administrative data and was therefore limited to available data elements.…”

Section: Discussionmentioning

confidence: 99%

Heterogeneity in Trajectories of Child Maltreatment Severity: A Two-Part Growth Mixture Model

et al. 2015

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This study examined the trajectories of maltreatment severity and substantiation over a 24-month period among children (N = 82,396) with repeated maltreatment reports. Findings revealed two different longitudinal patterns. The first pattern, Elevated Severity, showed a higher level of maltreatment during the initial incident and increased maltreatment severity during subsequent incidents but the substantiation rates for this class decreased over time. The second pattern, Lowered Severity, showed a much lower level of severity, but the likelihood of substantiation increased over time. The Elevated Severity class was comprised of children with an elevated risk profile due to both individual and contextual risk factors including older age, female gender, caregivers’ substance use problems, and a higher number of previous maltreatment reports. Implications of the findings are discussed.

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Large Data Sets Are Powerful

Cited by 16 publications

References 1 publication

The Relationship of Antipsychotic Medication Class and Adherence with Treatment Outcomes and Costs for Florida Medicaid Beneficiaries with Schizophrenia

The Relationship of Antipsychotic Medication Class and Adherence with Treatment Outcomes and Costs for Florida Medicaid Beneficiaries with Schizophrenia

Delinquent Behavior Across Adolescence: Investigating the Shifting Salience of Key Criminological Predictors

Heterogeneity in Trajectories of Child Maltreatment Severity: A Two-Part Growth Mixture Model

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