scholarly journals Using Administrative Data to Evaluate Municipal Reforms: An Evaluation of the Impact of Minas Fácil Expresso

2013 ◽  
Author(s):  
Miriam Bruhn ◽  
David McKenzie
Keyword(s):  
Administrative Data ◽  
The Impact ◽  
Municipal Reforms

scholarly journals Three Essays on Adverse Events and Student Outcomes

2021 ◽  
Author(s):  
◽  
Olivia Wills
Keyword(s):  
High School ◽  
High School Students ◽  
Adverse Events ◽  
Administrative Data ◽  
Degree Completion ◽  
Student Outcomes ◽  
Fixed Effects ◽  
Hospital Admissions ◽  
The Impact ◽  
Low Ability

<p>This dissertation contains three essays on the impact of unexpected adverse events on student outcomes. All three attempt to identify causal inference using plausibly exogenous shocks and econometric tools, applied to rich administrative data.  In Chapter 2, I present evidence of the causal effects of the 2011 Christchurch earthquake on tertiary enrolment and completion. Using the shock of the 2011 earthquake on high school students in the Canterbury region, I estimate the effect of the earthquake on a range of outcomes including tertiary enrolment, degree completion and wages. I find the earthquake causes a substantial increase in tertiary enrolment, particularly for low ability high school leavers from damaged schools. However, I find no evidence that low ability students induced by the earthquake complete a degree on time.  In Chapter 3, I identify the impact of repeat disaster exposure on university performance, by comparing outcomes for students who experience their first earthquake while in university, to outcomes for students with prior earthquake exposure. Using a triple-differences estimation strategy with individual-by-year fixed effects, I identify a precise null effect, suggesting that previous experience of earthquakes is not predictive of response to an additional shock two years later.  The final chapter investigates the impact of injuries sustained in university on academic performance and wages, using administrative data including no-fault insurance claims, emergency department attendance and hospital admissions, linked with tertiary enrolment. I find injuries, including minor injuries, have a negative effect on re-enrolment, degree completion and grades in university.</p>

scholarly journals Risk-adjusted antibiotic consumption in 34 public acute hospitals in Ireland, 2006 to 2014

2016 ◽  
Vol 21 (32) ◽  
Author(s):  
Ajay Oza ◽  
Fionnuala Donohue ◽  
Howard Johnson ◽  
Robert Cunney
Keyword(s):  
Administrative Data ◽  
Risk Adjustment ◽  
Antibiotic Consumption ◽  
Factors Affecting ◽  
Defined Daily Doses ◽  
Acute Hospitals ◽  
Consumption Rates ◽  
Hospital Antibiotic Consumption ◽  
Bed Days ◽  
The Impact

As antibiotic consumption rates between hospitals can vary depending on the characteristics of the patients treated, risk-adjustment that compensates for the patient-based variation is required to assess the impact of any stewardship measures. The aim of this study was to investigate the usefulness of patient-based administrative data variables for adjusting aggregate hospital antibiotic consumption rates. Data on total inpatient antibiotics and six broad subclasses were sourced from 34 acute hospitals from 2006 to 2014. Aggregate annual patient administration data were divided into explanatory variables, including major diagnostic categories, for each hospital. Multivariable regression models were used to identify factors affecting antibiotic consumption. Coefficient of variation of the root mean squared errors (CV-RMSE) for the total antibiotic usage model was very good (11%), however, the value for two of the models was poor (> 30%). The overall inpatient antibiotic consumption increased from 82.5 defined daily doses (DDD)/100 bed-days used in 2006 to 89.2 DDD/100 bed-days used in 2014; the increase was not significant after risk-adjustment. During the same period, consumption of carbapenems increased significantly, while usage of fluoroquinolones decreased. In conclusion, patient-based administrative data variables are useful for adjusting hospital antibiotic consumption rates, although additional variables should also be employed.

scholarly journals Identifying Prenatal Opioid Exposure in Health Administrative Data for Public Health Surveillance and Epidemiologic Research

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Andi Camden ◽  
Teresa To ◽  
Joel G Ray ◽  
Tara Gomes ◽  
Li Bai ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Administrative Data ◽  
Population Based ◽  
Emergency Department Visits ◽  
Prescription Data ◽  
Opioid Use ◽  
Health Administrative Data ◽  
Maternal Characteristics ◽  
Data Source ◽  
The Impact

IntroductionAccurate estimation of prenatal opioid exposure (POE) is needed for population-based surveillance & research but can be challenging with health administrative data due to varying definitions & methods. Prior research has relied primarily on infant records with a diagnosis of neonatal abstinence syndrome (NAS). Objectives and Approach1) Evaluate the impact of using different definitions of maternal opioid use in the estimation of POE; 2) Investigate whether maternal characteristics vary by the type of definition used. Population-based cross-sectional study of all hospital births (N= 454,746) from 2014-2017 in Ontario, Canada. Multiple linked population-based health administrative databases were used to identify opioid-related pre- & perinatal Emergency Department visits & hospitalizations & opioid prescriptions. We examined how pre-conception & in-pregnancy maternal characteristics varied by using different approaches to ascertain POE. ResultsThere were 9624 live/still births with POE. Ascertainment of POE was highest using maternal prescription drug data (79%) & infant hospital records with NAS (45%). Maternal characteristics varied by data source used for POE ascertainment. Opioid-related health care during pregnancy identified a high-risk phenotype, contrasted with those ascertained through prescription data, with respective rates of 64% vs. 54% for social assistance, 37% vs. 12% for polydrug use, 23% vs. 6% for alcohol use, 26% vs. 19% for 3+ live births, 13% vs. 5% for victim of violence, 12% vs. 6% for involvement in criminal justice system & 64% vs. 17% for mental health & addictions hospital care. Conclusion / ImplicationsPOE ascertainment differs by health administrative data source & ability to link both across maternal records and with infant. Prescription drug data identified the highest number of opioid-exposed births and, with linked healthcare records, is useful to identify illicit opioid use & additional risk factors. Clinically meaningful differences in maternal characteristics of opioid users exist by POE ascertainment method.

The impact of low body mass index on postoperative outcomes in pancreatectomy patients: a retrospective analysis of Japanese administrative data

2018 ◽  
Vol 32 (4) ◽  
pp. 624-631
Author(s):  
Takeshi Umegaki ◽  
Susumu Kunisawa ◽  
Masaya Kotsuka ◽  
So Yamaki ◽  
Takahiko Kamibayashi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Retrospective Analysis ◽  
Body Mass ◽  
Administrative Data ◽  
Postoperative Outcomes ◽  
Low Body Mass Index ◽  
The Impact

Far from Home and All Alone: The Impact of Prison Visitation on Recidivism

2019 ◽  
Vol 21 (2) ◽  
pp. 431-481 ◽  
Author(s):  
Logan M Lee
Keyword(s):  
Administrative Data ◽  
Causal Effect ◽  
Support Networks ◽  
The Other ◽  
Other Hand ◽  
Department Of Corrections ◽  
The Impact ◽  
Legal Right

Abstract Tightening corrections budgets, the lack of a legal right to in-person prison visitation, and the increasing availability of video visitation have led many prison and jail administrators to consider limiting opportunities for in-person visitation. This is concerning given the large literature which argues inmates receiving in-person visits are less likely to recidivate upon release. On the other hand, these studies have not determined whether this relationship is causal or is instead driven by the correlation between receiving visits and having a network of family and friends that can offer support upon release. In this article, I estimate the causal effect of in-person visitation on recidivism using unique, administrative data from the Iowa Department of Corrections. I find that visitation itself, as currently implemented in Iowa, has no impact on recidivism. Instead, my results suggest prison policies that create meaningful support networks available to prisoners upon release may yield significant benefits.

An evaluation of administrative data linkage for measurement of real-world outcomes of large clinical panel sequencing for advanced solid tumors.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 283-283
Author(s):  
Ramy Saleh ◽  
Philippe L. Bedard ◽  
Paul Nguyen ◽  
Eoghan Ruadh Malone ◽  
Celeste Yu ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Administrative Data ◽  
Real World ◽  
Short Interval ◽  
Common Disease ◽  
Advanced Solid Tumors ◽  
Vital Status ◽  
Treatment Matching ◽  
The Impact ◽  
Panel Sequencing

283 Background: There is limited real-world evidence of impact of large clinical panel sequencing on treatment-matching for patients with advanced solid tumors. The province of Ontario has a single payer, publicly funded health care system. We linked genomic testing results from a prospective province-wide trial, OCTANE (Ontario-Wide Cancer TArgeted Nucleic Acid Evaluation), to administrative data to determine the feasibility of this approach for evaluating survival and the impact of sequencing on treatment matching. Methods: We linked all Ontario patients from Princess Margaret (PM) with panel testing results (tumor-only 555-gene panel) to province-wide administrative data on treatments and outcomes. Patients were recruited from August 2016 to August 2018. Only clinically actionable variants based upon OncoKB annotation (Level 1 and 2) were assessed for genotype-informed treatment matching. Results: All 888 eligible patients were successfully linked to administrative data. Mean age was 58 (±13) years, 635 (71.5%) were female. Most common disease sites were ovary (26.4%), uterus (14.0%), colorectal (11.8%) and breast (9.5%). Administrative data vital status was more complete than trial collected data with 262 of 476 deaths only recorded in administrative data. Median survival was 1.70 years (95% confidence interval 1.50-1.91). 247 (27.8%) had actionable mutations, most commonly PIK3CA (54.7%), BRCA1 (15.8%), BRCA2 (15.0%) and BRAF (8.9%). 37 (15.0%) and 42 (17.0%) patients with actionable mutations received targeted therapy within 6 and 12 months of test report date, respectively. Conclusions: This is the first known feasibility study of linked administrative data to measure outcomes of large clinical panel sequencing for patients with advanced solid tumors. Vital status was more complete with administrative data compared to trial-collected data, and treatment data was successfully linked. About one in twenty-one enrolled patients received genome-informed treatments within 12 months, or about one in six of all patients with actionable mutations. This may be due to short interval follow up, trial and drug access, successful standard of care treatments, early patient deterioration or limited alterations covered by the panel, among other causes.

scholarly journals The impact of the present on admission indicator on the accuracy of administrative data for carotid endarterectomy and stenting

2014 ◽  
Vol 59 (1) ◽  
pp. 32-38.e1 ◽  
Author(s):  
Margriet Fokkema ◽  
Rob Hurks ◽  
Thomas Curran ◽  
Rodney P. Bensley ◽  
Allen D. Hamdan ◽  
...  
Keyword(s):  
Carotid Endarterectomy ◽  
Administrative Data ◽  
The Impact ◽  
Present On Admission

Parole Release Decisions: Impact of Positive and Negative Victim and Nonvictim Input on a Representative Sample of Parole-Eligible Inmates

2010 ◽  
Vol 25 (2) ◽  
pp. 224-242 ◽  
Author(s):  
Joel M. Caplan
Keyword(s):  
New Jersey ◽  
Public Participation ◽  
Administrative Data ◽  
Representative Sample ◽  
Criminal History ◽  
Crime Severity ◽  
Parole Board ◽  
Different Types ◽  
The Impact ◽  
Victim Input

This study analyzed administrative data from the New Jersey State Parole Board to determine the extent to which victim and nonvictim input impacted parole release decisions. Positive and negative input, in both verbal and written forms, was studied for a representative sample of 820 parole-eligible adult inmates. Victim input was not found to be a significant predictor of parole release; measures of institutional behavior, crime severity, and criminal history were significant. Though insignificant, verbal input had a greater effect than written input. Results suggest that the impact of victim input is not generalizable across different types of offenders or across different paroling jurisdictions. It can no longer be assumed that victim rights laws and public participation at parole guarantee victim-desired outcomes.

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