Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Long-term effects of diabetes pharmacotherapy and multiple medication use on clinical and economic outcomes from claims datasets

Xue, Lingshu (2019) Long-term effects of diabetes pharmacotherapy and multiple medication use on clinical and economic outcomes from claims datasets. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img] PDF
Submitted Version
Restricted to University of Pittsburgh users only until August 2024.

Download (1MB) | Request a Copy


Background: Pharmacoepidemiology is the study of the use, beneficial and adverse effect of medications in defined population. Using claims data in pharmacoepidemiologic studies allows us to observe the association of medication use and subsequent health and economic outcomes in more closely resemble treated populations in real-world settings.
Objectives: This dissertation aimed to examine (1) the association between the time from first-line therapy to insulin initiation and cardiovascular disease (CVD) risk, (2) the association between insulin initiation and within-person change in healthcare utilization, and (3) the association between chronic multiple medication use (thereafter “persistent polypharmacy”) and treated fall injury.
Methods: Our study populations included (1) middle-aged Pennsylvania Medicaid enrollees with type 2 diabetes (T2DM) and (2) community-dwelling older adults in the Health, Aging and Body Composition Study with linked Medicare Fee-For-Service claims. Conditional Cox models proposed by Prentice, Williams, and Peterson with inverse probability treatment weighting, generalized estimating equations models with propensity score matching, and multivariable Cox proportional hazard models with time-varying polypharmacy were applied to examine three objectives, respectively.
Results: First, insulin initiation, even in the early course of T2DM pharmacotherapy, did not prevent CVD risk or reduce healthcare burden possibly due to CVD events that developed before insulin for middle-aged Medicaid enrollees with T2DM. Secondly, community-dwelling older adults aged 70-79 years with sustained multiple medications had an increased risk of treated fall injury; but the relationship was attenuated when accounting for performance-based quadriceps strength and diabetes.
Conclusions: These findings suggest that further studies are needed to focus on prevention efforts such as controlling CVD risk factors in middle-aged Medicaid enrollees with T2DM to improve their health outcomes and reduce healthcare burden. In addition, clinicians should consider musculoskeletal strength and diabetes in older adults with persistent polypharmacy for increasing fall injury risk. Although several challenges are present when using claims data, the public health relevance of these findings is providing new insights in the effect of medication use in populations who are not typically included in clinical trials because of comorbidity, socioeconomic status, or logistics, and informing disease prevention efforts and resource planning in public health.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Xue, Lingshuxuelingshu1047@gmail.comlix19
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairStrotmeyer,
Committee MemberDonohue,
Committee MemberZgibor,
Committee MemberBoudreau,
Committee MemberCostacou,
Date: 26 September 2019
Date Type: Publication
Defense Date: 12 July 2019
Approval Date: 26 September 2019
Submission Date: 23 July 2019
Access Restriction: 5 year -- Restrict access to University of Pittsburgh for a period of 5 years.
Number of Pages: 169
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Epidemiology
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Pharmacotherapy, claims data, diabetes, falls
Date Deposited: 26 Sep 2019 16:20
Last Modified: 26 Sep 2019 16:20


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item