Time-to-onset of treatment for hypertension and hyperlipidaemia in South African diabetes mellitus patients: A survival analysis using medicine claims data

被引:0
|
作者
Obeng-Kusi, Mavis [1 ]
Lubbe, Martha Susanna [1 ]
Cockeran, Marike [2 ]
Burger, Johanita Riette [1 ]
机构
[1] North West Univ, Fac Hlth Sci, MUSA, Potchefstroom Campus, Potchefstroom, South Africa
[2] North West Univ, Sch Comp Stat & Math Sci, Stat, Potchefstroom, South Africa
关键词
diabetes mellitus; hyperlipidaemia; hypertension; medicine claims data; South Africa; survival analysis; time-to-onset of treatment; CARDIOVASCULAR-DISEASE; RISK-FACTORS; PREVALENCE; DYSLIPIDEMIA; PATTERN; CARE;
D O I
10.1111/jcpt.12844
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
What is known and objective Hypertension and hyperlipidaemia have high prevalence among diabetics and increase patients' risk of cardiovascular diseases, ultimately affecting prognosis negatively. Medicine claims data have gained prominence in the study of drug-related events and outcomes. There is paucity of publications on the time-to-onset of treatment for these conditions among South African diabetics using secondary data. This study aims to determine the time-to-onset of treatment for hypertension and hyperlipidaemia among diabetics using a South African medicine claims data. Methods Survival analysis was conducted using retrospective data of patients enrolled continuously with a Pharmaceutical Benefit Management (PBM) company in South Africa from 1 January 2008 to 31 December 2016. We identified patients based on International Classification of Diseases, Tenth Revision (ICD-10) diagnoses codes for type 2 diabetes mellitus (E11) who were receiving antidiabetic medication according to the National Pharmaceutical Product Index (NAPPI) codes provided by the Monthly Index of Medical Specialities (MIMS) classification code 19.1 (N = 2996). Among these patients, we then selected those who had ICD-10 codes for hypertension (I10, I11, I12, I13, I15, O10 and O11) who were receiving antihypertensive medications, and those who had hyperlipidaemia (E78.5), who received antihyperlipidaemics during the study period. Data were extracted using SAS (R) system version 9.4 classification codes. The Kaplan-Meier approach, used to compare the survival experience of patients who commenced treatment for hypertension and hyperlipidaemia, was conducted using IBM (R) SPSS (R) version 25. The time to the commencement of treatment of hypertension and hyperlipidaemia among the diabetics were measured in days. With 2008 serving as the index year, we followed up on patients until 31 December 2016. Results and discussion A total of 494 patients with an average age of 53.5 (SD 11.1) years were included in the study, 34.8% of whom were females. Prevalence of hyperlipidaemia and hypertension among patients were 35.0% and 45.6%, respectively. Average time-to-onset of treatment for hyperlipidaemia was 2684.4 (SD 42.2) days compared to 2434.2 (SD 47.6) days for hypertension. There was no statistically significant difference in age and sex among patients who started treatment for either of these conditions during the study (P = 0.404; Cohen's d = 0.132 for hyperlipidaemia and P = 0.644, Cohen's d = 0.059 for hypertension). What is new and conclusion Within an average of 6 years after an index period of 1 year free of disease, diabetics may commence treatment for hyperlipidaemia, hypertension or both. With all significant data appropriately captured, medicine claims data can be effectively used in survival analysis to determine time-to-onset of treatment for hyperlipidaemia and hypertension among diabetics.
引用
收藏
页码:701 / 707
页数:7
相关论文
共 50 条
  • [41] Real-world clinical outcomes and costs in type 2 diabetes mellitus patients after initiation of insulin therapy: A German claims data analysis
    Gabler, Maximilian
    Picker, Nils
    Geier, Silke
    Foersch, Johannes
    Aberle, Jens
    Martin, Stephan
    Riedl, Matthias
    Wilke, Thomas
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2021, 174
  • [42] Disease progression of heart failure in type 2 diabetes patients in Germany; a real world data analysis using health insurance claims data
    Lee, K.
    Wilke, M.
    Wagner, T.
    Kennedy, A.
    Koehler, F.
    EUROPEAN HEART JOURNAL, 2022, 43 : 866 - 866
  • [43] Guideline Adherence and Associated Outcomes in the Treatment of Type 2 Diabetes Mellitus Patients With an Incident Cardiovascular Comorbidity: An Analysis Based on a Large German Claims Dataset
    Maximilian Gabler
    Nils Picker
    Silke Geier
    Ludwin Ley
    Jens Aberle
    Michael Lehrke
    Stephan Martin
    Matthias Riedl
    Thomas Wilke
    Diabetes Therapy, 2021, 12 : 1209 - 1226
  • [44] Association between extended-release niacin treatment and glycemic control in patients with type 2 diabetes mellitus: analysis of an administrative-claims database
    Ambegaonkar, Baishali M.
    Wentworth, Chuck
    Allen, Christopher
    Sazonov, Vasilisa
    METABOLISM-CLINICAL AND EXPERIMENTAL, 2011, 60 (07): : 1038 - 1044
  • [45] Guideline Adherence and Associated Outcomes in the Treatment of Type 2 Diabetes Mellitus Patients With an Incident Cardiovascular Comorbidity: An Analysis Based on a Large German Claims Dataset
    Gabler, Maximilian
    Picker, Nils
    Geier, Silke
    Ley, Ludwin
    Aberle, Jens
    Lehrke, Michael
    Martin, Stephan
    Riedl, Matthias
    Wilke, Thomas
    DIABETES THERAPY, 2021, 12 (04) : 1209 - 1226
  • [46] DEVELOPMENT OF OPTIMAL DYNAMIC TREATMENT REGIME TO ENHANCE ADHERENCE OF PATIENTS WITH TYPE 2 DIABETES WITH Q-LEARNING USING CLAIMS DATA
    Maedera, S.
    Takeshima, T.
    Yusa, Y.
    Iwasaki, K.
    Shojima, N.
    Yamada, T.
    VALUE IN HEALTH, 2020, 23 : S516 - S516
  • [47] Identifying Prediabetes Patients Using Administrative Claims Linked with Lab Data to Assess Progression To Type 2 Diabetes and Treatment Initiation Patterns
    Ip, Queeny
    Wu, Xiyuan
    Chin, Andi
    Waheed, Rehan
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2024, 33 : 360 - 361
  • [48] BURDEN OF ILLNESS IN PATIENTS WITH PULMONARY HYPERTENSION DUE TO INTERSTITIAL LUNG DISEASE: A REAL-WORLD ANALYSIS USING US CLAIMS DATA
    Heresi, Gustavo
    Castillo, Howard
    Lee, Henry
    Classi, Peter
    Stafkey-Mailey, Dana
    Morland, Kellie
    Sketch, Margaret
    Kantorovich, Alexander
    Wu, Benjamin
    Dean, Bonnie
    CHEST, 2021, 160 (04) : 2322A - 2323A
  • [49] POPULATION-BASED BIG DATA ANALYSIS ON DISEASE PATTERNS IN PATIENTS IDENTIFIED WITH JUVENILE IDIOPATHIC ARTHRITIS USING NATIONAL CLAIMS DATA IN SOUTH KOREA
    Jeong, D. C.
    Ahn, J. G.
    Min, E. J.
    Kim, Y. D.
    Lee, S. H.
    Jo, J. Y.
    ANNALS OF THE RHEUMATIC DISEASES, 2024, 83
  • [50] Characteristics, treatment patterns, and survival from three cohorts of advanced or metastatic cancer patients using healthcare claims data in the United States.
    Lamy, Francois-Xavier
    Beachler, Daniel C.
    Russo, Leo J.
    Lanes, Stephan
    Dinh, Jade
    Taylor, Devon H.
    Yin, Ruihua
    Jamal-Allial, Aziza
    Verpillat, Patrice
    JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)