2014
DOI: 10.18553/jmcp.2014.20.12.1208
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Geospatial Analysis of Statin Adherence Using Pharmacy Claims Data in the State of Michigan

Abstract: BACKGROUND: Research has demonstrated that variation in availability and utilization of health care resources exist on a range of scales, from regions of the United States, hospital referral regions, ZIP codes, and census tracts. Limited research using spatial analyses has found that variation in medication adherence exists across census tracts. Using spatial analysis, researchers may be able to effectively analyze geographically dispersed data to determine whether factors such as sociodemographics, local shar… Show more

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Cited by 9 publications
(7 citation statements)
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“…6 A previous study by the investigators found that statin adherence varies significantly across the State of Michigan for an insured sample of patients taking statin therapy. 7 All patients in that study were beneficiaries of 1 large statewide medical insurer, having similar copays for medications. No information about the social context of areas of higher or lower adherence was studied.…”
Section: Introductionmentioning
confidence: 99%
“…6 A previous study by the investigators found that statin adherence varies significantly across the State of Michigan for an insured sample of patients taking statin therapy. 7 All patients in that study were beneficiaries of 1 large statewide medical insurer, having similar copays for medications. No information about the social context of areas of higher or lower adherence was studied.…”
Section: Introductionmentioning
confidence: 99%
“…Studies on medication adherence in primary and secondary prevention have investigated association with patient demographic factors, lifestyle and psychosocial factors, geographical location, medication history and physician‐patient communication . In addition, a patient may have different medication adherence before and after events of various types.…”
Section: Introductionmentioning
confidence: 99%
“…Hot spot analysis is a statistically based method used to identify spatial clusters of high and low values of a phenomenon of interest. Recent studies using this technique have studied geographic variations in medication adherence[ 30 , 31 ], health care spending[ 32 ], locations of over-the-counter (OTC) syringe-selling pharmacies[ 33 ], health disparities in delivery of primary care[ 34 ], availability of healthcare professionals[ 35 ] and locations requiring more Women, Infants, and Children (WIC) program services[ 36 ]. To our knowledge, however, hot spot analysis has not been employed to identify clusters of pharmacy deserts for elderly enrolled in SPAPs.…”
Section: Introductionmentioning
confidence: 99%