A Review on the Application and Limitations of Administrative Health Care Data for the Study of Acute Kidney Injury Epidemiology and Outcomes in Children

Ulrich, E; So, Gina; Zappitelli, Michael; Chanchlani, Rahul

doi:10.3389/fped.2021.742888

Cited by 9 publications

(5 citation statements)

References 101 publications

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“…These results are subject to the challenges routinely reported with use of administrative claims data, 56 which are not collected for research but for reimbursement purposes. 57 Primary medication nonadherence (ie, the individual never filled the prescription) is not captured by administrative claims data 58 and thus was not measured by our study. Propensity score matching of AP controls and AS initiators did not include baseline use of antidepressant therapy or anxiolytics due to sample size limitations, resulting in mismatch between AP controls’ and AS initiators’ baseline use of these medications, which could introduce biases.…”

Section: Discussionmentioning

confidence: 99%

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Boskovic¹,

Liang²,

Parab³

et al. 2023

CEOR

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Purpose Maintaining adherence to antipsychotic (AP) medication is often challenging. Aripiprazole tablets with sensor (AS) contain an ingestible event marker and communicate with wearable patches and a smartphone app to provide objective medication ingestion data. This study evaluated real-world treatment patterns of AS usage and its impact on psychiatric healthcare resource utilization (HCRU). Patients and Methods This retrospective, observational cohort study identified individuals who initiated AS between 1/1/2019 and 6/30/2020 with 3 months baseline and 6 months of follow-up data using a commercial medical and pharmacy claims database (Clarivate). Controls were propensity score-matched (4:1) to AS initiators based on age (±2 years), sex, diagnosis (major depressive disorder [MDD], schizophrenia, bipolar I disorder [BP-I], other), insurance, and baseline oral AP use (yes/no). Days of AP supply were evaluated using a general regression model. The frequency of psychiatric HCRU during follow-up was compared between groups using a zero-inflated regression model. Results Most AS initiators were diagnosed with MDD (61.2%) and were women (61.2%); mean age was 37.7 years (standard deviation: 14.1). Most AS initiators (53.1%) continued treatment for >60 days (mean days of supply = 77). After adjusting for covariates, AS initiators had 41% more days of AP supply during follow-up compared with controls ( P <0.0001) and significantly lower adjusted odds ratios (ORs) for psychiatric outpatient visits (adjusted OR = 0.80; P <0.05), emergency department visits (adjusted OR = 0.11; P <0.05), inpatient visits (adjusted OR = 0.42; P <0.05), and other medical services (adjusted OR = 0.25; P <0.05). Conclusion Participants who implemented AS had significantly more days of AP supply and fewer psychiatric care visits. These preliminary results suggest AS usage can help build regular medication-taking habits and holds promise for reducing psychiatric HCRU. Additional studies with larger sample sizes are warranted to inform clinical practice and coverage decisions.

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Section: Discussionmentioning

confidence: 99%

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Boskovic¹,

Liang²,

Parab³

et al. 2023

CEOR

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“…Therefore, administrative data are useful screening tools to identify areas in which quality should be investigated more thoroughly through audits. Despite these beneficial characteristics, it is also important to consider the limitations that administrative health research presents, such as issues related to data accuracy and incompleteness [52]. Indeed, there is a need for interventions that instill staff with greater care in compiling health administrative data.…”

Section: Discussionmentioning

confidence: 99%

Development of a Set of Indicators for Measuring and Improving Quality of Rehabilitation Care after Ischemic Stroke

et al. 2023

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Stroke is the leading global cause of permanent disability and the second leading cause of dementia within the first year of the event. Systematic quality improvement interventions such as Audit & Feedback (A&F) can monitor and improve the performance of post-stroke care in conjunction with the use of quality indicators (QIs). The scientific literature shows limited studies on quality improvement and QIs design for poststroke rehabilitation. In Italy, the National Outcomes Evaluation Programme (PNE) annually provides several QIs concerning the acute wards. On the contrary, indicators for quality assessment of post-acute stroke rehabilitation are not available nationwide. In recent years, the Italian Ministry of Health has funded a national network project, the aim of which is to provide and evaluate the effectiveness of A&F strategies in healthcare improvement. Part of this project is the development of a set of IQs for ischemic stroke rehabilitation used to conduct an A&F. In this study, we describe the design and development process of these QIs from administrative databases and report the results of the pilot test conducted on a small sample of Sicilian rehabilitation facilities, comparing them from 2019 to 2021. Feedback from the participating centers was mainly positive, and the quality indicators were found to be comprehensible and appreciated. However, the study highlighted the need for better adherence to indicators measuring processes of rehabilitation care. The set of quality indicators presented in this study, relevant to inpatient settings, could be considered a starting point on which to base quality improvement initiatives both nationally and internationally.

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“…Six percent (n = 21) of the examined studies utilized administrative data, yet a growing number of studies are using such data in recent years in health-related studies [50]. Administrative data, including data from Medicaid, Medicare, and electronic health records (EHRs), can provide a wealth of information on the health status, utilization, and costs of specific populations.…”

Section: Administrative Datamentioning

confidence: 99%

Demographic data in the built environment and human health studies

Wang,

G. Tassinary

2023

Population and Development in the 21st Century - Between the Anthropocene and Anthropocentrism

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Demographic data is widely used in both built environment and population health studies. Traditional data sources include national, state, and local surveys as well as archived data from longitudinal studies and newly emerging sources such as digitally accessible administrative data and real-time data from mobile devices. The value of these diverse data sets hinges on their accuracy, completeness, reliability, relevance, and timeliness. This chapter reviews the literature published in this field, provides a selective overview of the extant published research based on such data, and offers suggestions for the continuing access and use of such datasets.

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A Review on the Application and Limitations of Administrative Health Care Data for the Study of Acute Kidney Injury Epidemiology and Outcomes in Children

Cited by 9 publications

References 101 publications

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Real-World Evidence of Aripiprazole Tablets with Sensor: Treatment Patterns and Impacts on Psychiatric Healthcare Resource Utilization

Development of a Set of Indicators for Measuring and Improving Quality of Rehabilitation Care after Ischemic Stroke

Demographic data in the built environment and human health studies

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