Dataset Information

Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population.

ABSTRACT: Applying causal inference methods, such as weighting and matching methods, to a survey sampled population requires properly incorporating the survey weights and design to obtain effect estimates that are representative of the target population and correct standard errors (SEs). With a simulation study, we compared various approaches for incorporating the survey weights and design into weighting and matching-based causal inference methods. When the models were correctly specified, most approaches performed well. However, when a variable was treated as an unmeasured confounder and the survey weights were constructed to depend on this variable, only the matching methods that used the survey weights in causal estimation and as a covariate in matching continued to perform well. If unmeasured confounders are potentially associated with the survey sample design, we recommend that investigators include the survey weights as a covariate in matching, in addition to incorporating them in causal effect estimation. Finally, we applied the various approaches to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and found that insomnia has a causal association with both mild cognitive impairment (MCI) and incident hypertension 6-7 years later in the US Hispanic/Latino population.

SUBMITTER: Shahu A

PROVIDER: S-EPMC10276808 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population.

Shahu Anja A Chung Joon J Tarraf Wassim W Ramos Alberto R AR González Hector M HM Redline Susan S Cai Jianwen J Sofer Tamar T

Scientific reports 20230617 1

Applying causal inference methods, such as weighting and matching methods, to a survey sampled population requires properly incorporating the survey weights and design to obtain effect estimates that are representative of the target population and correct standard errors (SEs). With a simulation study, we compared various approaches for incorporating the survey weights and design into weighting and matching-based causal inference methods. When the models were correctly specified, most approaches ...[more]

PMID: 37330559

Similar Datasets

Project description:Study objectivesTo determine if a population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia (ICBT-I) affects dispensed medications and provider encounters compared with usual care.MethodsA pragmatic hybrid study design was used to evaluate both the implementation strategy and the long-term effects of ICBT-I on health care utilization in an integrated health system. Adult members with insomnia (a diagnosis or insomnia medication dispensation) or at high risk of insomnia (a diagnosis of depression or anxiety) were randomized to receive information on either an ICBT-I program (intervention arm) or in-person classes on insomnia (usual-care arm). Outcomes included dispensed insomnia medications and provider encounters over 12 months. The effectiveness of our implementation of ICBT-I on the target population was determined by an intention-to-treat analysis and by regression models comparing those who engaged in ICBT-I with matched usual-care arm controls.ResultsA total of 136,630 participants were randomized. Six hundred thirty-eight (0.96%) accessed the ICBT-I program while 431 (0.66%) attended 1 or more usual-care insomnia classes. Dispensed insomnia medications and provider encounters were no different in the ICBT-I arm vs the usual-care arm (intention-to-treat) or among those who engaged in ICBT-I vs matched usual-care arm controls.ConclusionsSince ICBT-I program engagement was low, additional strategies to improve engagement should be explored. ICBT-I did not result in a reduction in several measures of health care utilization; nevertheless, it offers an alternative and accessible approach to managing population insomnia.Clinical trial registrationRegistry: ClinicalTrials.gov; Name: Trial of Internet-Based Cognitive Behavioral Therapy for Insomnia in Patients Prescribed Insomnia Medications; URL: https://clinicaltrials.gov/ct2/show/NCT03313466; Identifier: NCT03313466.CitationDerose SF, Rozema E, Chen A, Shen E, Hwang D, Manthena P. A population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2021;17(8):1675-1684.

Dataset Information

Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population.

Publications

Method comparison and estimation of causal effects of insomnia on health outcomes in a survey sampled population.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets