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Rural-urban differences in use of health services before and after dementia diagnosis: a retrospective cohort study

BACKGROUND

Rural-urban differences in health service use among persons with prevalent dementia are known. However, the extent of geographic differences in health service use over a long observation period, and prior to diagnosis, have not been sufficiently examined. The purpose of this study was to examine yearly rural-urban differences in the proportion of patients using health services, and the mean number of services, in the 5-year period before and 5-year period after a first diagnosis of dementia.

METHODS

This population-based retrospective cohort study used linked administrative health data from the Canadian province of Saskatchewan to investigate the use of five health services [family physician (FP), specialist physician, hospital admission, all-type prescription drug dispensations, and short-term institutional care admission] each year from April 2008 to March 2019. Persons with dementia included 2,024 adults aged 65 years and older diagnosed from 1 April 2013 to 31 March 2014 (617 rural; 1,407 urban). Matching was performed 1:1 to persons without dementia on age group, sex, rural versus urban residence, geographic region, and comorbidity. Differences between rural and urban persons within the dementia and control cohorts were separately identified using the Z-score test for proportions (p < 0.05) and independent samples t-test for means (p < 0.05).

RESULTS

Rural compared to urban persons with dementia had a lower average number of FP visits during 1-year and 2-year preindex and between 2-year and 4-year postindex (p < 0.05), a lower likelihood of at least one specialist visit and a lower average number of specialist visits during each year (p < 0.05), and a lower average number of all-type prescription drug dispensations for most of the 10-year study period (p < 0.05). Rural-urban differences were not observed in admission to hospital or short-term institutional care (p > 0.05 each year).

CONCLUSIONS

This study identified important geographic differences in physician services and all-type prescription drugs before and after dementia diagnosis. Health system planners and educators must determine how to use existing resources and technological advances to support care for rural persons living with dementia.

Health service use before and after dementia diagnosis: a retrospective matched case-control study

OBJECTIVES

This study investigated patterns in health service usage among older adults with dementia and matched controls over a 10-year span from 5 years before until 5 years after diagnosis.

DESIGN

Population-based retrospective matched case-control study.

SETTING

Administrative health data of individuals in Saskatchewan, Canada from 1 April 2008 to 31 March 2019.

PARTICIPANTS

The study included 2024 adults aged 65 years and older living in the community at the time of dementia diagnosis from 1 April 2013 to 31 March 2014, matched 1:1 to individuals without a dementia diagnosis on age group, sex, rural versus urban residence, geographical region and comorbidity.

OUTCOME MEASURES

For each 5-year period before and after diagnosis, we examined usage of health services each year including family physician (FP) visits, specialist visits, hospital admissions, all-type prescription drug dispensations and short-term care admissions. We used negative binomial regression to estimate the effect of dementia on yearly average health service utilisation adjusting for sex, age group, rural versus urban residence, geographical region, 1 year prior health service use and comorbidity.

RESULTS

Adjusted findings demonstrated that 5 years before diagnosis, usage of all health services except hospitalisation was lower among persons with dementia than persons without dementia (all p<0.001). After this point, differences in higher health service usage among persons with dementia compared to without dementia were greatest in the year before and year after diagnosis. In the year before diagnosis, specialist visits were 59.7% higher (p<0.001) and hospitalisations 90.5% higher (p<0.001). In the year after diagnosis, FP visits were 70.0% higher (p<0.001) and all-type drug prescriptions 29.1% higher (p<0.001).

CONCLUSIONS

Findings suggest the year before and year after diagnosis offer multiple opportunities to implement quality supports. FPs are integral to dementia care and require effective resources to properly serve this population.

Effects of Child Protective Custody Status and Health Risk Behaviors on Health Care Use Among Adolescents

OBJECTIVE

To determine whether current protective custody status (ie, youth currently in the temporary or permanent custody of child protective services, eg, foster and kinship care) contributes to increased health care utilization compared to youth never in protective custody. Health characteristics (eg, mental health diagnoses) and behaviors (eg, substance use) were expected to account for differences in health care use among the two groups.

METHODS

Retrospective child welfare administrative data and linked electronic health records data were collected from a county's child welfare system and affiliated freestanding children's hospital between 2012 and 2017. Youth currently in protective custody (n = 2787) were identified and demographically matched to peers never in custody (n = 2787) who received health care from the same children's hospital. Health care use, health risk behaviors, and social, demographic, and diagnostic data were extracted and compared for both cohorts.

RESULTS

In baseline models, health care use was higher for youth in protective custody compared to peers. In adjusted models that included health risk behaviors and patient characteristics, protective custody status was associated with decreased primary and missed care, and no longer a significant predictor of other types of health care use.

CONCLUSIONS

Youth had significantly higher utilization while in protective custody than their demographically similar peers; however, health risk behaviors appear to account for most group differences. Identification of current custody status in pediatric settings and addressing health risk behaviors in this population may be important for health care systems interested in altering health care use and/or cost for this population.

Differences in the association between oral corticosteroids and risk of preterm birth by data source: Reconciling the results

OBJECTIVE

To investigate causes of discrepancies in the association between early pregnancy oral corticosteroid (OCS) use and preterm birth (PTB) risk among women with rheumatoid arthritis (RA) in health care utilization [California Medicaid (Medi-Cal)] and prospective cohort (MotherToBaby Pregnancy Studies) data.

METHODS

Separately, we estimated risk ratios (RR) between OCS exposure before gestational day 140 and PTB risk in Medi-Cal (2007-2013; n=844) and MotherToBaby (2003-2014; n=528) data. We explored differences in socio-economic status, OCS dose distribution, exposure misclassification, and confounding by RA severity across the data sources.

RESULTS

PTB risk in women without OCS's was 17.3% in Medi-Cal and was 9.7% in MotherToBaby. There was no association between OCS and PTB in Medi-Cal (adjusted (a)RR: 1.00 (95% CI: 0.71, 1.42)), and a 1.85-fold (95% CI: 1.20, 2.84) increased PTB risk in MotherToBaby. When restricting each sample to women with a high school degree or less, PTB risk following no OCS exposure was 15.9% in Medi-Cal and 16.7% in MotherToBaby; aRR's were 1.16 (95% CI: 0.74, 1.80) in Medi-Cal and 0.81 (95% CI: 0.25, 2.64) in MotherToBaby. Cumulative OCS dose was higher in MotherToBaby (median: 684 mg) than Medi-Cal (median: 300 mg). OCS dose ≤300 mg was not associated with increased PTB risk. Exposure misclassification and confounding by RA severity were unlikely explanations of differences.

DISCUSSION

Higher baseline PTB risk and lower OCS dose distribution in Medi-Cal may explain the discrepancies. Studies are needed to understand the effects of autoimmune disease severity and under-treatment on PTB risk in low-income populations.