Full Citation

Title: Quality of causes of death data in Minnesota from 2011 to 2021 – A descriptive analysis of the usage and correlates of garbage codes

Citation Type: Journal Article

Publication Year: 2026

ISBN:

ISSN: 26665352

DOI: 10.1016/j.puhip.2026.100746

NSFID:

PMCID:

PMID:

Abstract: Objectives This study aimed to evaluate the cause-of-death data in Minnesota (2011-2021) to understand the usage of "garbage codes" on death certificates. Study design We conducted a logistic regression analysis using death data from the Minnesota Vital Statistics System that compiles statistical data on all births, deaths, infant deaths, and fetal deaths in Minnesota. Methods Death certificate data from the Minnesota Department of Health were analyzed, and garbage codes were classified using ANACONDA criteria. Logistic regression assessed associations with socioeconomic variables, considering demographic factors, county characteristics, and fixed effects. Results Garbage codes constituted 3-4% of deaths, with variations by location, demographics, and office affiliation. Logistic regression revealed significant odds variations, notably related to age, rural residence, education, marital status, and place of death. Conclusions The study unveiled variations in cause-of-death data reliability in Minnesota, emphasizing the prevalence of garbage codes. Enhancing cause-of-death data accuracy is pivotal for informed public health decisions and accurate death statistics to guide targeted public health interventions and mitigate health disparities.

Url: https://doi.org/10.1177/0033354917736514

User Submitted?: No

Authors: Karnik, Harshada; Levin, Zachary; Lasway, Jovin; Leider, Jonathon P.; Wrigley-Field, Elizabeth

Periodical (Full): Public Health in Practice

Issue: 6

Volume: 11

Pages: 100746

Countries: