Gender Differences in Healthcare Utilization: The Mediating Effect of Utilization Propensity

Age as a Moderator of Health Outcomes and Trust in Physicians

Objectives: Patient trust in physicians is associated with patient satisfaction with healthcare, patients engaging in follow-up care, and positive health-related outcomes. The current study investigated whether age moderated the relation between trust in physicians and four health outcome variables, including patient satisfaction, doctor visits, emergency room visits, and hospital admissions. Methods: 398 English-speaking, community-dwelling adults completed measures of physician trust and important health outcome variables via Amazon Mechanical Turk. Results: Age significantly moderated relations between trust in physicians and hospital admissions, and trust in physicians and patient satisfaction, with both positive relations becoming stronger with increasing age. Discussion: The results highlight the need for a lifespan approach to the study of physician trust and related health outcomes. They offer an avenue for increasing physician trust, engagement with the healthcare system prior to the need for hospitalization, and the reduction of healthcare costs.

Gender disparity in bipolar disorder diagnosis in the United States: A retrospective analysis of the 2005-2017 MarketScan Commercial Claims database

OBJECTIVE

To examine gender disparities in the diagnosis of bipolar disorder (BD) within a privately insured population in the United States and investigate potential contributing factors for these gender differences.

METHODS

This retrospective cohort study utilized 2005-2017 claims data from the MarketScan^® Commercial Claims and Encounters database. The study cohort included subjects, aged 10-64 years, who had a minimum of 1-year continuous insurance coverage and no record of a BD diagnosis before cohort entry. We examined the gender difference in BD diagnosis rate, overall and by subgroups. We then used Cox regression models to evaluate the gender effect on time to first BD diagnosis, and the potential moderators of gender effect.

RESULTS

The study cohort consisted of 97,193,443 subjects; 0.45% of subjects were diagnosed with BDs after cohort entry with males having a lower diagnosis rate than females (0.36% vs. 0.54%). The Cox regression analysis indicated that males were less likely to be diagnosed with BDs (unadjusted Hazard Ratio, HR [95% CI]: 0.69 [0.68-0.69]) and gender difference remained significant after adjusting for demographics, comorbidity and healthcare utilizations (adjusted HR [95% CI]: 0.77 [0.76-0.77]). Gender disparity was consistently strong among most age groups, but varied in other demographic subgroups.

CONCLUSIONS

Even though the prevalence of BDs is approximately equal between genders in the general population, our study found a much lower diagnosis rate in men compared to women for a privately insured U.S.

POPULATION

Future studies aimed at identifying and understanding the barriers to diagnosis of BDs in men are warranted.

Decomposition of gendered socioeconomic-related inequality in outpatient health care utilization: A cross-sectional study from Iran

INTRODUCTION

Unequal access to required health care services could deteriorate inequality in health outcomes and increase mortality and morbidity, especially among disadvantaged groups. One of the most debated factors in shaping health care inequalities is gender. This study aimed to measure and explains gendered socioeconomic-related inequality in outpatient health care utilization in Iran.

METHODS

This is a cross-sectional research conducted at a national level in Iran. The required data was obtained from an Iranian health care utilization household survey conducted in 2015. Erreygers Concentration Index (ECI) was used to measure the socioeconomic inequality in outpatient health care utilization. A regression-based decomposition analysis was also used to explain socioeconomic-related inequalities.

RESULTS

There was a significant pro-rich inequality in outpatient health care utilization between males (ECI = 0.115, SE = 0.014) and females (ECI = 0.083 SE = 0.011) indicating that utilization of these services was concentrated on the better-offs. The decomposition analysis revealed that economic status (males = 50.58%, females = 37.42%) was the main contributor to the observed inequality. Location of residence, health insurance and education were other main driver of these inequalities.

CONCLUSIONS

Different factors have different contribution to socioeconomic-related inequality in utilization of outpatient health care services and these could be diversified considering gender. Hence, it seems that policy makers could be able to address these inequalities effectively through gender-oriented policies.

Gender Differences in Medical Cannabis Use: Symptoms Treated, Physician Support for Use, and Prescription Medication Discontinuation

Background: Medical cannabis (MC) utilization continues to expand in the United States, as a growing body of evidence supports the use of cannabis and cannabinoids in the treatment of a range of chronic conditions. To date, gender-related differences in MC use are not widely reported, and little is known regarding physicians' support of patients' use of MC to address symptoms associated with chronic conditions. Materials and Methods: We conducted a cross-sectional online survey of MC users in Illinois (n = 361). We summarized participants' qualifying conditions, symptoms treated with MC, perceived physician support for MC use, use of MC and prescription medications, then analyzed differences by participant gender. Results: Bivariate analyses indicate that men report higher levels of support for MC use from both specialist and primary care physicians. Women were significantly more likely to increase use of cannabis after acquiring an MC card, and to discontinue prescription medications through MC use. Multivariable analyses indicate that being a woman, using MC to treat multiple symptoms, and reporting higher levels of support for MC use from a primary care provider significantly increased the likelihood of discontinuing prescription medication through MC use. Discussion: Women are more likely to report decreased use of prescription medications to treat symptoms, and report lower levels of support from physicians for MC use. Future research on gender differences in this population may benefit from more detailed data related to symptomology, utilization, dosing, and outcomes associated with MC, and interactions with the health care system to extend these findings.

Family physician-patient relationship and frequent attendance of primary and specialist health care: Results from a German population-based cohort study

OBJECTIVE

To investigate the association between the quality of the family physician-patient relationship and frequent attendance of primary and specialist health care.

METHODS

Cross-sectional survey of a representative German population sample (N=2.266). Family physician-patient relationship was assessed with the Patient Doctor Relationship Questionnaire (PDRQ-9). Determinants of frequent attendance were analyzed using logistic regression.

RESULTS

Frequent attendance of family physicians was associated with lower income (OR 1.43, 95% CI 1.02-2.00), not being in paid work (OR 1.58, CI 1.08-2.30), psychological distress (OR 1.14, CI 1.07-1.22), somatic symptoms (OR 1.07, CI 1.04-1.11), and physical comorbidity (OR 1.54, CI 1.36-1.74) in the multivariate analysis. Frequent attendance of specialists was related to psychological distress (OR 1.12, CI 1.04-1.20), somatic symptoms (OR 1.08, CI 1.04-1.11), and physical comorbidity (OR 1.69, CI 1.48-1.93) in the multivariate analysis. Quality of the relationship was associated with frequent attendance only in the univariate analyses. A stronger relationship with the family physician was not associated with reduced contact with specialists.

CONCLUSIONS

The quality of the family physician-patient relationship is not independently associated with frequent attendance.

PRACTICE IMPLICATIONS

Family physicians should be aware that need factors, i.e. symptom burden and physical comorbidities, are main drivers of frequent attendance.