INTERRUPTED TIME SERIES ANALYSIS USING SEGMENTED REGRESSION OF PREMATURE MORTALITY FROM NONCOMMUNICABLE DISEASE AMONG FILIPINOS

被引:0
|
作者
Pinlac, Paul Adrian V. [1 ]
Silawan, Tassanee [2 ]
Tempongko, Ma Sandra B. [3 ]
Tolabing, Ma Carmen C. [1 ]
Soonthornworasiri, Ngamphol [4 ]
机构
[1] Univ Philippines Manila, Dept Epidemiol & Biostat, Coll Publ Hlth, Manila, Philippines
[2] Mahidol Univ, Fac Publ Hlth, Dept Community Hlth, Bangkok, Thailand
[3] SEAMEO TROPMED Network, Bangkok, Thailand
[4] Mahidol Univ, Fac Trop Med, Dept Trop Hyg, 420-6 Ratchawithi Rd, Bangkok 10400, Thailand
关键词
cancer; cardiovascular disease; chronic respiratory disease; diabetes mellitus; interrupted time series analysis; noncommunicable disease;
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The problem of increasing mortality from noncommunicable disease (NCD) in the Philippines warrants an in-depth assessment of the potential impact of NCD interventions by the national government. This research aims to compare trends before and after a critical milestone in the prevention and control of these lifestyle-related diseases, the release of the manual of operations on Prevention and Control of Chronic Lifestyle-Related Noncommunicable Diseases in the Philippines in 2010. Interrupted time series analysis with segmented regression was performed on secondary ecologic data extracted from the national mortality database maintained by the Philippine Statistics Authority-National Statistics Office. The prevention of deaths among 30-69 year-old adults secondary to the intervention was notable only for cardiovascular diseases. The intervention had minimal effect in deterring premature mortality from cancers, chronic respiratory diseases, and diabetes mellitus. This application of interrupted time series analysis with segmented regression provides pragmatic evidence as to the impact of one of the landmark national strategies on NCD prevention and control.
引用
收藏
页码:810 / 821
页数:12
相关论文
共 50 条
  • [21] Using group-based trajectory modelling to enhance causal inference in interrupted time series analysis
    Linden, Ariel
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2018, 24 (03) : 502 - 507
  • [22] Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis
    Linden, Ariel
    Yarnold, Paul R.
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2018, 24 (04) : 740 - 744
  • [23] Using forecast modelling to evaluate treatment effects in single-group interrupted time series analysis
    Linden, Ariel
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2018, 24 (04) : 695 - 700
  • [24] Using randomization tests to assess treatment effects in multiple-group interrupted time series analysis
    Linden, Ariel
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2019, 25 (01) : 5 - 10
  • [25] Do cardiovascular disease prevention programs in northern Sweden impact on population health? An interrupted time series analysis
    Miguel San Sebastián
    Paola A. Mosquera
    Per E. Gustafsson
    BMC Public Health, 19
  • [26] Do cardiovascular disease prevention programs in northern Sweden impact on population health? An interrupted time series analysis
    San Sebastian, Miguel
    Mosquera, Paola A.
    Gustafsson, Per E.
    BMC PUBLIC HEALTH, 2019, 19 (1)
  • [27] The effect of the Iranian health transformation plan on hospitalization rate: insights from an interrupted time series analysis
    Beiranvand, Siavash
    Saki, Mandana
    Behzadifar, Meysam
    Bakhtiari, Ahad
    Behzadifar, Masoud
    Keshvari, Mohammad
    Bragazzi, Nicola Luigi
    BMC HEALTH SERVICES RESEARCH, 2020, 20 (01)
  • [28] The effect of the Iranian health transformation plan on hospitalization rate: insights from an interrupted time series analysis
    Siavash Beiranvand
    Mandana Saki
    Meysam Behzadifar
    Ahad Bakhtiari
    Masoud Behzadifar
    Mohammad Keshvari
    Nicola Luigi Bragazzi
    BMC Health Services Research, 20
  • [29] Effects of fluoroquinolone restriction (from 2007 to 2012) on resistance in Enterobacteriaceae: interrupted time-series analysis
    Sarma, J. B.
    Marshall, B.
    Cleeve, V.
    Tate, D.
    Oswald, T.
    Woolfrey, S.
    JOURNAL OF HOSPITAL INFECTION, 2015, 91 (01) : 68 - 73
  • [30] Changes in Mental Health Among Adolescents in South Korea Before and After COVID-19: An Interrupted Time Series Analysis From 2015 to 2022
    Kim, Yeonjae
    Park, Hyewon
    Bhan, Yoowha
    Lee, Donghwan
    Oh, Chang-Mo
    Lee, Weon Young
    Park, Bomi
    JOURNAL OF ADOLESCENT HEALTH, 2025, 76 (01) : 72 - 79