Is lower income associated with an increased likelihood of qualification for treatment for osteoporosis in Canadian women?

The relationship between patients' income and education and their access to pharmacological chronic pain management: A scoping review

Background

Though chronic pain is widespread, affecting about one-fifth of the world's population, its impacts are disproportionately felt across the population according to socioeconomic determinants such as education and income. These factors also influence patients' access to treatment, including pharmacological pain management.

Aim

A scoping review was undertaken to better understand the association of socioeconomic factors with physicians' pain management prescribing patterns for adults living with chronic pain.

Methods

An electronic literature search was conducted using the EMBASE, CINAHL, SCOPUS, and Ovid MEDLINE databases and 31 retrieved articles deemed relevant for analyses were critically appraised.

Results

The available evidence indicates that patients' lower socioeconomic status is associated with a greater likelihood of being prescribed opioids to manage their chronic pain and a decreased likelihood of receiving prescription medications to manage migraines, rheumatoid arthritis, and osteoarthritis.

Conclusions

These results suggest that individuals with lower socioeconomic status do not receive equal prescription medicine opportunities to manage their chronic pain conditions. This is influenced by a variety of intersecting variables, including access to care, the potential unaffordability of certain therapies, patients' health literacy, and prescribing biases. Future research is needed to identify interventions to improve equity of access to therapies for patients with chronic pain living in lower socioeconomic situations as well as to explain the mechanism through which socioeconomic status affects chronic pain treatment choices by health care providers.

Abbreviation

SES: socioeconomic status; RA: rheumatoid arthritis; IV: intravenous; SC: subcutaneous; bDMARDs: biological disease-modifying antirheumatic drugs; DMARDS; disease-modifying antirheumatic drugs; TNFi: tumour necrosis factor inhibitors; NSAIDs: non-steroidal anti-inflammatory drugs.

Neighborhood Income and Cesarean Section Rates at a Tertiary Care Center in Canada

Background: With rising rates of cesarean sections (CSs) in Canada and worldwide, nonclinical factors for CS warrant consideration. Objective: To determine the association between a primigravid woman's neighborhood income and rates of CSs. Materials and Methods: A retrospective cohort study was conducted at an Ontario tertiary care center from January 2003 to December 2013. Rates of CSs were determined using data collected from the Discharge Abstract Database. Women with singleton live births were included. The main exposure variable was the neighborhood income quintile. A multivariable model was used to adjust for covariates and provide an estimate of the independent effect of neighborhood income on the CS rate. Results: The study cohort comprised 32,714 women. Compared with the lowest quintile, women in the highest quintile had increased rates of CSs (relative risk, RR 1.06, 95% confidence interval, CI [1.02-1.11]). Following adjustment for important confounders, there was no longer an association between the neighborhood income and CS rate (adjusted RR 1.00, 95% CI [0.99-1.01]). Women in the highest quintile were more likely to have greater maternal age (p < 0.01). Conclusions: Although differences in CS rates are seen by the neighborhood income quintile, they appear to be mediated through a combination of maternal age and other clinical factors. Neighborhood income does not appear to be an independent predictor of CS.

Patient and Provider Characteristics Associated With Optimal Post-Fracture Osteoporosis Management

Despite an estimated 2 million osteoporosis (OP)-related fractures annually, quality of care for post-fracture OP management remains low. This study aimed to identify patient and provider characteristics associated with achieving or not achieving optimal post-fracture OP management, as defined by the current HEDIS quality measure. The study included women 67 to 85 years of age, with ≥1 fracture, and continuous enrollment in a Humana insurance plan. The study identified a higher percentage of black women in the not achieved group (6.2% vs 5.4%; P < .0001) and Hispanic women in the achieved group (3.0% vs 1.3%; P < .0001). The not achieved group largely included patients residing in the South and urban and suburban areas. The majority of providers were primary care or OP-related specialty, and 66% did not achieve the 4-star OP rating. The study findings can guide development of predictive models to identify at-risk women to improve post-fracture OP management.

Risk of Vertebral Fracture in Patients Diagnosed with a Depressive Disorder: A Nationwide Population-Based Cohort Study

OBJECTIVE:

Previous studies have reported that depression may play a crucial role in the occurrence of vertebral fractures. However, a clear correlation between depressive disorders and osteoporotic fractures has not been established. We explored the association between depressive disorders and subsequent new-onset vertebral fractures. Additionally, we aimed to identify the potential risk factors for vertebral fracture in patients with a depressive disorder.

METHODS:

We studied patients listed in the Taiwan National Health Insurance Research Database who were diagnosed with a depressive disorder by a psychiatrist. The comparison cohort consisted of age- and sex-matched patients without a depressive disorder. The incidence rate and hazard ratios of subsequent vertebral fracture were evaluated. We used Cox regression analysis to evaluate the risk of vertebral fracture among patients with a depressive disorder.

RESULTS:

The total number of patients with and without a depressive disorder was 44,812. The incidence risk ratio (IRR) between these 2 cohorts indicated that depressive disorder patients had a higher risk of developing a subsequent vertebral fracture (IRR=1.41, 95% confidence interval [CI]=1.26-1.57, p<0.001). In the multivariate analysis, the depressive disorder cohort showed a higher risk of vertebral fracture than the comparison cohort (adjusted hazard ratio=1.24, 95% CI=1.11-1.38, p<0.001). Being older than 50 years, having a lower monthly income, and having hypertension, diabetes mellitus, cerebrovascular disease, chronic obstructive pulmonary disease, autoimmune disease, or osteoporosis were considered predictive factors for vertebral fracture in patients with depressive disorders.

CONCLUSIONS:

Depressive disorders may increase the risk of a subsequent new-onset vertebral fracture.

Fracture prediction from repeat BMD measurements in clinical practice

We investigated whether repeat BMD measurements in clinical populations are useful for fracture risk assessment. We report that repeat BMD measurements are a robust predictor of fracture in clinical populations; this is not affected by preceding BMD change or recent osteoporosis therapy.

INTRODUCTION

In clinical practice, many patients selectively undergo repeat bone mineral density (BMD) measurements. We investigated whether repeat BMD measurements in clinical populations are useful for fracture risk assessment and whether this is affected by preceding change in BMD or recent osteoporosis therapy.

METHODS

We identified women and men aged ≥ 50 years who had a BMD measurement during 1990-2009 from a large clinical BMD database for Manitoba, Canada (n = 50,215). Patient subgroups aged ≥ 50 years at baseline with repeat BMD measures were identified. Data were linked to an administrative data repository, from which osteoporosis therapy, fracture outcomes, and covariates were extracted. Using Cox proportional hazards models, we assessed covariate-adjusted risk for major osteoporotic fracture (MOF) and hip fracture according to BMD (total hip, lumbar spine, femoral neck) at different time points.

RESULTS

Prevalence of osteoporosis therapy increased from 18 % at baseline to 55 % by the fourth measurement. Total hip BMD was predictive of MOF at each time point. In the patient subgroup with two repeat BMD measurements (n = 13,481), MOF prediction with the first and second measurements was similar: adjusted-hazard ratio (HR) per SD 1.45 (95 % CI 1.34-1.56) vs. 1.64 (95 % CI 1.48-1.81), respectively. No differences were seen when the second measurement results were stratified by preceding change in BMD or osteoporosis therapy (both p-interactions >0.2). Similar results were seen for hip fracture prediction and when spine and femoral neck BMD were analyzed.

CONCLUSION

Repeat BMD measurements are a robust predictor of fracture in clinical populations; this is not affected by preceding BMD change or recent osteoporosis therapy.

Socioeconomic disparities in osteoporosis prevalence: different results in the overall Korean adult population and single-person households

OBJECTIVES

The present study was conducted in order to examine the association between socioeconomic status (SES) and osteoporosis prevalence in Korea and to assess whether different associations are found in single-person households.

METHODS

A cross-sectional population-based study was conducted using the Korea National Health and Nutrition Examination Survey, from 2008 to 2011. The study subjects were people aged ≥ 50 years with osteoporosis as defined by bone mineral density. Multivariate logistic models were used to estimate prevalence odds ratios (pORs) and 95% confidence intervals (CIs). Gender differences in the likelihood of osteoporosis were analyzed based on household income, education level, and residential area.

RESULTS

There were 8221 osteoporosis patients aged ≥ 50 years, of whom 927 lived in single-person households. There was a gender-specific association between osteoporosis prevalence and all three SES factors that we analyzed: income, education, and residential area. After adjusting for age, SES, and health behaviors, including body mass index (BMI), low household income was only significantly associated with osteoporosis in men, whereas education level had an inverse relationship with osteoporosis only in women (p = 0.01, p < 0.001, respectively). However, after controlling for age and BMI, rural residency was only associated with osteoporosis in women living in single-person households (pOR, 1.59; 95% CI, 1.05 to 2.43).

CONCLUSIONS

The Korean adult population showed a gender-specific relationship between SES and osteoporosis prevalence, with a different pattern found in single-person households.