A comparison of statistical models for analyzing episodes-of-care costs for chronic obstructive pulmonary disease exacerbations

Kuwornu, John Paul; Lix, Lisa M.; Quail, Jacqueline; Wang, Eric; Osman, Meriç; Teare, Gary

doi:10.1007/s10742-013-0112-7

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…By following Kuwornu et al [ 14 ], and HQC [ 15 ], we categorized the drugs under three groups (chronic management, acute, and other unclassified drugs). We grouped the drugs that are only used for chronic management (i.e.…”

Section: Methodsmentioning

confidence: 99%

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The effects of patient education programs on medication use among asthma and COPD patients: a propensity score matching with a difference-in-difference regression approach

Sari

Osman

2015

BMC Health Serv Res

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BackgroundAdherence to medication is one of the critical determinants of successful management of chronic diseases including asthma and chronic obstructive pulmonary disease (COPD). Given that poor adherence with self-management medication is very common among asthma and COPD patients, interventions that improve the use of chronic disease management medications for this patient group have potential to generate positive health outcomes. In an effort to improve asthma and COPD care, the Lung Association of Saskatchewan has implemented an intervention by providing access to effective and high quality asthma and COPD education for both patients and health care professionals along with increasing access to spirometry.By evaluating the impacts of this intervention, our purpose in this paper is to examine the effectiveness of spirometry use, and asthma and COPD education in primary care setting on medication use among asthma and COPD patients.MethodsAt the time of the intervention, the Lung Association of Saskatchewan has not assigned a control group. Therefore we used a propensity score matching to create a control group using administrative health databases spanning 6 years prior to the intervention. Using Saskatchewan administrative health databases, the impacts of the intervention on use of asthma and COPD medications were estimated for one to four years after the intervention using a difference in difference regression approach.ResultsThe paper shows that overall medication use for the intervention group is higher than that of the control group. On average, intervention group uses more asthma and COPD drugs. Within the asthma and COPD drugs, this intervention creates a persistent effect over time in the form of higher utilization of chronic management drugs equivalent to $157 and $195 in a given year during four years after the intervention.ConclusionsThe study suggests that effective patient education and increasing access to spirometry increases the utilization of chronic disease management drugs among asthma and COPD patients. This type of interventions with patient education focus has potential to save healthcare dollars by providing better disease management among this patient group.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-015-0998-6) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

“…short-acting beta-agonists (SABA), antibiotics). Following the study conducted by HQC [ 15 ], other asthma drugs that are not classified in chronic management or acute drugs by Kuwornu and his colleagues [ 14 ] were grouped under unclassified asthma drugs .…”

Section: Methodsmentioning

confidence: 99%

The effects of patient education programs on medication use among asthma and COPD patients: a propensity score matching with a difference-in-difference regression approach

Sari

Osman

2015

BMC Health Serv Res

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The ‘6W’ multidimensional model of care trajectories for patients with chronic ambulatory care sensitive conditions and hospital readmissions

2018

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A prediction model to estimate completeness of electronic physician claims databases

et al. 2015

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ObjectivesElectronic physician claims databases are widely used for chronic disease research and surveillance, but quality of the data may vary with a number of physician characteristics, including payment method. The objectives were to develop a prediction model for the number of prevalent diabetes cases in fee-for-service (FFS) electronic physician claims databases and apply it to estimate cases among non-FFS (NFFS) physicians, for whom claims data are often incomplete.DesignA retrospective observational cohort design was adopted.SettingData from the Canadian province of Newfoundland and Labrador were used to construct the prediction model and data from the province of Manitoba were used to externally validate the model.ParticipantsA cohort of diagnosed diabetes cases was ascertained from physician claims, insured resident registry and hospitalisation records. A cohort of FFS physicians who were responsible for the diagnosis was ascertained from physician claims and registry data.Primary and secondary outcome measuresA generalised linear model with a γ distribution was used to model the number of diabetes cases per FFS physician as a function of physician characteristics. The expected number of diabetes cases per NFFS physician was estimated.ResultsThe diabetes case cohort consisted of 31 714 individuals; the mean cases per FFS physician was 75.5 (median=49.0). Sex and years since specialty licensure were significantly associated (p<0.05) with the number of cases per physician. Applying the prediction model to NFFS physician registry data resulted in an estimate of 18 546 cases; only 411 were observed in claims data. The model demonstrated face validity in an independent data set.ConclusionsComparing observed and predicted disease cases is a useful and generalisable approach to assess the quality of electronic databases for population-based research and surveillance.

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A comparison of statistical models for analyzing episodes-of-care costs for chronic obstructive pulmonary disease exacerbations

Cited by 3 publications

References 22 publications

The effects of patient education programs on medication use among asthma and COPD patients: a propensity score matching with a difference-in-difference regression approach

The effects of patient education programs on medication use among asthma and COPD patients: a propensity score matching with a difference-in-difference regression approach

The ‘6W’ multidimensional model of care trajectories for patients with chronic ambulatory care sensitive conditions and hospital readmissions

A prediction model to estimate completeness of electronic physician claims databases

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