Socioeconomic differences in outpatient healthcare utilisation are mainly seen for musculoskeletal problems in groups with poor self-rated health

Kristenson, Margareta; Lundberg, Johanna Gustafsson; Garvin, Peter

doi:10.1177/1403494811423430

Cited by 8 publications

(3 citation statements)

References 24 publications

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“…Table. for this relation (42). Some studies have also presupposed the predictive power of SRH on the subsequent healthcare utilization (43,44). Our results were consistent with those of the previous researches indicating that utilization of health services was associated with SRH.…”

Section: Discussionsupporting

confidence: 91%

Self-Rated Health and Its Determinants in Female Population in Iran: A Community-Based Study

Hassanzadeh

Rezaeian

2018

Health Scope

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Background: Self-rated health (SRH), as a single-item self-assessment of health, has been widely used in research on health inequalities in both developed and developing countries. However, limited studies have been conducted on SRH in Iran. The present study aimed to evaluate SRH and its related factors among Iranian women. Methods: In this population-based, cross-sectional study, 1200 women > 18 years old who lived in different districts of Sanandaj, western Iran, in 2012 were randomly selected through stratified cluster sampling. SRH, as the main outcome variable, was categorized as poor or good. The results of evaluation of the associated factors with SRH were presented as odds ratios (OR), and bootstrap method was used to obtain 95% confidence interval (95% CI). Results: The overall prevalence of poor SRH among women was 37.68% (95% CI: 34.74, 40.61). Even after adjustment for other factors, the most important determinants of poor SRH were old age (OR = 3.92, 95% CI: 2.59, 5.94), being married (OR = 1.38, 95% CI: 1.04, 1.83), quality of health services (OR = 0.62, 95% CI: 0.43, 0.88), and household's income level (OR = 0.22, CI: 0.14, 0.35). Conclusions: The proportion of poor SRH varied depending on socioeconomic and socio-demographic determinants. As SRH is an important predictor of death, individuals with the related factors, such as advanced age, being married, household's low-income level, and low quality of health services, should be considered as the priority target population.

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Section: Discussionsupporting

confidence: 91%

Self-Rated Health and Its Determinants in Female Population in Iran: A Community-Based Study

Hassanzadeh

Rezaeian

2018

Health Scope

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“…13,39 Further, low SES has been associated with higher clinic utilization for musculoskeletal problems, which is also consistent with our findings. 40 Reasons for these findings regarding odds of opioid prescription by nSES level are unclear. One aspect of treatment modality offered is the preference of the patient.…”

Section: Discussionmentioning

confidence: 99%

Neighborhood Socioeconomic Status and Receipt of Opioid Medication for New Back Pain Diagnosis

2017

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Background: Although treatment for new back pain is heavily guideline driven, deviations occur frequently. Neighborhood socioeconomic status (nSES) may contribute to these deviations.Objective: Determine whether nSES is associated with type of treatment provided for patients seeking treatment for new back pain in primary care clinics.Methods: This retrospective cohort was conducted in academic internal and family medicine practices. Data were examined from the Primary Care Patient Data Registry. Eligibility criteria included age >18 years, free of HIV and cancer, and presenting to primary care with a new diagnosis of back pain, resulting in1646 patients included. Patients' nSES was determined using ZIP code and calculating a validated index of 7 census-tract variables. Multinomial logistic regression was used to measure the association between nSES and 3 treatment outcomes compared with no pharmacologic management. Outcomes included opioid prescription, nonsteroidal anti-inflammatory (NSAID)/muscle relaxant prescription, or combined opioid/nonopioid treatment within 90 days of initial presentation. Covariates included age, sex, race, high clinic utilization (HCU), depression, anxiety, substance use, obesity, comorbidities, smoking, number of pain conditions, and physical therapy (PT) referral. Results: The cohort was 67.9% female with an average age of 55.72 years (Standard Error [SE] ‫؍‬ 0.387). Compared with no pharmacologic treatment, individuals in the low nSES group had 63% higher odds of receiving an opioid only compared with the high nSES group (odds ratio [OR

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“…Studies based on survey data controlling for health status tend to find differences in favour of higher socioeconomic groups. Using data from 2002, Kristenson et al found differences in outpatient care in favour of higher socioeconomic groups for patients aged 45-69 years with musculoskeletal problems [19]. Gerdtham and Sundberg used data from 1991 and found that higher-income groups visited doctors in outpatient care more often than lower-income groups, but lower-income groups had longer hospital stays [12].…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic differences in healthcare utilization, with and without adjustment for need: An example from Stockholm, Sweden

Agerholm

Bruce

Leon

et al. 2013

Scand J Public Health

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Socioeconomic differences in outpatient healthcare utilisation are mainly seen for musculoskeletal problems in groups with poor self-rated health

Cited by 8 publications

References 24 publications

Self-Rated Health and Its Determinants in Female Population in Iran: A Community-Based Study

Self-Rated Health and Its Determinants in Female Population in Iran: A Community-Based Study

Neighborhood Socioeconomic Status and Receipt of Opioid Medication for New Back Pain Diagnosis

Socioeconomic differences in healthcare utilization, with and without adjustment for need: An example from Stockholm, Sweden

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