Abstract

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.

Highlights

  • Adherence to medication is one of the critical determinants of successful management of chronic diseases including asthma and chronic obstructive pulmonary disease (COPD)

  • While there are other studies reviewed in this Cochrane review showing similar results [4, 12], Farber and Oliveria [10], and Bailey et al [6] show that patient education programs targeting this patient group have no impact on health care utilization measured by emergency department (ED) visits and hospitalization

  • By evaluating the impacts of the intervention conducted by the Lung Association, 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

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Summary

Methods

Overview of the intervention The main purpose of this intervention was to educate patients on how to manage their diseases. Before estimating the propensity scores based on a rich set of covariates in a probit specification, we restricted the potential control group using key characteristics of the intervention group such as age and geographical location and data availability prior to the intervention For this purpose, we restricted the potential control to the sample that includes only individuals who used any physician services during 2006, and who lived in the same health region with the intervention participants prior to the implementation of the intervention. These scores were estimated for each remaining individual in the risk set using a probit model with a long list of baseline characteristics including the baseline outcome variables as well as health status measures such as comorbidity indicators for 19 conditions These details are presented in the online appendix to this paper The full results for each outcome variable are presented in the additional file (see Appendix Tables D.1-D.4, and G.1-G.4 presented in Additional file 1)

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