Volume 26, Number 9—September 2020
Research
Costs Associated with Nontuberculous Mycobacteria Infection, Ontario, Canada, 2001–2012
, Emily Shing, John Wang, Theodore K. Marras, Jeffrey C. Kwong, Sarah K. Brode, Frances B. Jamieson, and Beate Sander
Table 1
Variables used for matching persons exposed to nontuberculous mycobacteria to unexposed persons in study of costs associated with nontuberculous mycobacteria infection, Ontario, Canada, 2001–2012*
| Variable | Index date | Death date |
|---|---|---|
| Baseline covariates–hard-matching | ||
| Index date | ± 30 d | NA |
| Death date | NA | ± 90 d |
| Age | ± 1 y | ± 5 y |
| Sex |
Exact |
Exact |
| Propensity score variable | ||
| Rurality Index of Ontario† | At index date | 180 d before death |
| Neighborhood income quintile | At index date | 180 d before death |
| Collapsed aggregated diagnosis groups‡ | 2 y before index date |
*Persons were hard-matched with regard to age, sex, and index date as well as within 0.2 SDs of the logit of the propensity score. To examine the effect of nontuberculous mycobacteria on costs before death, exposed persons who died during the observation period were rematched with 3 unexposed persons from the general population who also died during the same period, by use of covariates assessed 180 days before. NA, not applicable.
†The Rurality Index of Ontario is a weighted function of community population/density, travel time to nearest basic referral center, and travel time to nearest advanced referral center (https://content.oma.org//wp-content/uploads/2008rio-fulltechnicalpaper.pdf).
‡The Johns Hopkins ACG system (https://www.hopkinsacg.org) groups comorbid diagnoses into clinical groups considering illness recurrence, severity, and resource use intensity.