Using administrative data for statistical purposes

Penneck, Stephen

doi:10.1057/palgrave.elmr.1410152

Cited by 6 publications

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“…Źródło: opracowanie własne na podstawie (Penneck, 2007) zawarte w systemach statystycznych służą do analiz, na podstawie których formułowane są wnioski o całej populacji. W systemach administracyjnych jednostka jest przedmiotem decyzji i działań poszczególnych organów wykonawczych, a baza danych służy do pobrania informacji na temat określonego podmiotu.…”

Section: Bezpośrednia Kontrola Urzędu Statystycznegounclassified

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2012

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This paper presents the state of Polish regional statistics, taking into account the guidelines contained in the EUROSTAT and the latest practices of the Central Statistical Office. The object of our attention are the sources of information, with particular emphasis on administrative records and the estimation for small areas. Problems and challenges of Polish regional statistics presented in the form of a SWOT analysis. We find a significant improvement in the methodology and sources of information supply in recent years. Active participation by a large number of Polish statisticians in meetings of small area estimation gives hope for further improvement in the regional statistics in Poland.

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Section: Bezpośrednia Kontrola Urzędu Statystycznegounclassified

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2012

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Section: Bezpośrednia Kontrola Urzędu Statystycznegounclassified

System statystyki publicznej oparty na zintegrowanych źródłach danych

Roszka

2012

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Increasing demand for reliable and current information at the lowest possible level of aggregation is a growing challenge for the Polish public statistics. Application of data integration of different, including administrative, sources enables the use of information in terms of full coverage and rich in substance. The joint observation of variables observed in separate data collections generate a synergy effect increasing amount of knowledge derived from socio-economic research.

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“…For instance, population-based studies using insurance claims or national databases, such as the National Inpatient Sample and National Hospital Discharge System, cannot measure key patient clinical factors, such as the symptom severity of benign gynecologic diseases, or important potentially important provider and health system factors [13]. Finally, insurance claimsbased studies are often limited to single payor types, leaving the uninsured rarely studied [14][15][16][17][18]. In contrast to all the limitations mentioned above, EMR-based studies have rich data on patient, provider, and health care factors.…”

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The Carolina hysterectomy cohort (CHC): a novel case series of reproductive-aged hysterectomy patients across 10 hospitals in the US south

Haji-Noor,

Mathias,

Beltran

et al. 2023

BMC Women's Health

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Background Hysterectomy is a common surgery among reproductive-aged U.S. patients, with rates highest among Black patients in the South. There is limited insight on causes of these racial differences. In the U.S., electronic medical records (EMR) data can offer richer detail on factors driving surgical decision-making among reproductive-aged populations than insurance claims-based data. Our objective in this cohort profile paper is to describe the Carolina Hysterectomy Cohort (CHC), a large EMR-based case-series of premenopausal hysterectomy patients in the U.S. South, supplemented with census and surgeon licensing data. To demonstrate one strength of the data, we evaluate whether patient and surgeon characteristics differ by insurance payor type. Methods We used structured and abstracted EMR data to identify and characterize patients aged 18–44 years who received hysterectomies for non-cancerous conditions between 10/02/2014–12/31/2017 in a large health care system comprised of 10 hospitals in North Carolina. We used Chi-squared and Kruskal Wallis tests to compare whether patients’ socio-demographic and relevant clinical characteristics, and surgeon characteristics differed by patient insurance payor (public, private, uninsured). Results Of 1857 patients (including 55% non-Hispanic White, 30% non-Hispanic Black, 9% Hispanic), 75% were privately-insured, 17% were publicly-insured, and 7% were uninsured. Menorrhagia was more prevalent among the publicly-insured (74% vs 68% overall). Fibroids were more prevalent among the privately-insured (62%) and the uninsured (68%). Most privately insured patients were treated at non-academic hospitals (65%) whereas most publicly insured and uninsured patients were treated at academic centers (66 and 86%, respectively). Publicly insured and uninsured patients had higher median bleeding (public: 7.0, uninsured: 9.0, private: 5.0) and pain (public: 6.0, uninsured: 6.0, private: 3.0) symptom scores than the privately insured. There were no statistical differences in surgeon characteristics by payor groups. Conclusion This novel study design, a large EMR-based case series of hysterectomies linked to physician licensing data and manually abstracted data from unstructured clinical notes, enabled identification and characterization of a diverse reproductive-aged patient population more comprehensively than claims data would allow. In subsequent phases of this research, the CHC will leverage these rich clinical data to investigate multilevel drivers of hysterectomy in an ethnoracially, economically, and clinically diverse series of hysterectomy patients.

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Using administrative data for statistical purposes

Cited by 6 publications

References 0 publications

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System statystyki publicznej oparty na zintegrowanych źródłach danych

The Carolina hysterectomy cohort (CHC): a novel case series of reproductive-aged hysterectomy patients across 10 hospitals in the US south

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