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Chronic musculoskeletal pain is common and associated with more general healthcare-seeking. However, musculoskeletal-related healthcare utilization is under-explored. This study aimed to explore, describe and profile trajectories of long-term musculoskeletal healthcare for people reporting chronic musculoskeletal pain. This exploratory prognostic cohort study combined survey and national health register data from a representative group of adult Danes reporting chronic musculoskeletal pain (N = 2929). Trajectories of long-term musculoskeletal healthcare use were generated using latent class growth analysis. Types of healthcare-seeking, individual, sociodemographic, health, belief and work-related factors were used to describe and profile identified trajectories. We identified five distinct trajectories of long-term musculoskeletal healthcare utilization (low stable, low ascending, low descending, medium stable and high stable). The low stable trajectory group (no or almost no annual contacts) represented 39% of the sample, whereas the high stable trajectory group (consistent high number of annual contacts) represented 8%. Most healthcare-seeking was in primary healthcare settings (GP/physiotherapy/chiropractor). Opioid consumption was primarily in the high stable trajectory group, and surgery was rare. There were statistically significant differences across the five trajectory groups in individual, sociodemographic, health, belief and work-related profiles. Long-term use of musculoskeletal healthcare services varied in this chronic musculoskeletal pain population. Almost 40% coped without seeking care, whereas 8% had consistent high use of healthcare services. Chronic musculoskeletal pain was mostly managed in primary care settings, which aligns with musculoskeletal guidelines, as did the use of pain medication and surgery. People with different musculoskeletal healthcare trajectories had different individual, sociodemographic, health, belief and work-related profiles.

Autonomy is considered essential for decision-making in a range of health care situations, from health care seeking and utilization to choosing among treatment options. Evidence suggests that women in developing or low-income countries often have limited autonomy and control over their health decisions. A review of the published empirical literature to identify definitions and methods used to measure women's autonomy in developing countries describe the relationship between women's autonomy and their health care decision-making, and identify sociodemographic factors that influence women's autonomy and decision-making regarding health care was carried out. An integrated literature review using two databases (PubMed and Scopus) was performed. Inclusion criteria were 1) publication in English; 2) original articles; 3) investigations on women's decision-making autonomy for health and health care utilization; and 4) developing country context. Seventeen articles met inclusion criteria, including eleven from South Asia, five from Africa, and one from Central Asia. Most studies used a definition of autonomy that included independence for women to make their own choices and decisions. Study methods differed in that many used study-specific measures, while others used a set of standardized questions from their countries' national health surveys. Most studies examined women's autonomy in the context of reproductive health, while neglecting other types of health care utilized by women. Several studies found that factors, including age, education, and income, affect women's health care decision-making autonomy. Gaps in existing literature regarding women's autonomy and health care utilization include gaps in the areas of health care that have been measured, the influence of sex roles and social support, and the use of qualitative studies to provide context and nuance.

Purpose: The COVID-19 pandemic is accompanied by various challenges for individual health and the health care system. However, preventive examinations such as cancer screenings should not be postponed during a pandemic. Because nationally representative studies describing postponed cancer screenings and identifying its determinants in Germany are lacking, our aim was to close this gap in knowledge. Materials and Methods: We used cross-sectional data from the nationally representative online-survey \"COVID-19 Snapshot Monitoring in Germany (COSMO)\" (wave 17), which was conducted in July 2020. The analytical sample included 974 individuals (mean age was 45.9 years, SD: 16.5 years; 18 to 74 years). The outcome measure was whether cancer screening had been postponed since March 2020 due to the COVID-19 pandemic (no, attended as planned; yes, postponed). Results: In total, slightly more than 10% of individuals stated to have postponed cancer screenings between March and July 2020 due to the COVID-19 pandemic, particularly women and individuals aged 30 to 49 years. The likelihood of postponed cancer screening was positively associated with higher affect regarding COVID-19 (OR: 1.65, 95% CI: 1.162.35), whereas it was negatively associated with younger age (eg, 18 to 29 years, OR: 0.17, 95% CI: 0.05-0.64, compared to individuals 30 to 49 years). Conclusion: Study findings showed that one out of ten individuals postponed cancer screenings during the COVID-19 pandemic. We determined two correlates of them (age and affect regarding COVID-19). Individuals with an increased likelihood of postponed cancer screenings should be specifically addressed. Keywords: cancer screening, corona-virus, COVID-19, delayed screening, postponed screening; SARS-CoV-2; access to health care; availability of medical care; health care use; health care utilization; health services research; postponed treatment

Background The phenomenon of inequitable healthcare utilization in rural China interests policymakers and researchers; however, the inequity has not been actually measured to present the magnitude and trend using nationally representative data. Methods Based on the National Health Service Survey (NHSS) in 1993, 1998, 2003, and 2008, the Probit model with the probability of outpatient visit and the probability of inpatient visit as the dependent variables is applied to estimate need-predicted healthcare utilization. Furthermore, need-standardized healthcare utilization is assessed through indirect standardization method. Concentration index is measured to reflect income-related inequity of healthcare utilization. Results The concentration index of need-standardized outpatient utilization is 0.0486[95% confidence interval (0.0399, 0.0574)], 0.0310[95% confidence interval (0.0229, 0.0390)], 0.0167[95% confidence interval (0.0069, 0.0264)] and −0.0108[95% confidence interval (−0.0213, -0.0004)] in 1993, 1998, 2003 and 2008, respectively. For inpatient service, the concentration index is 0.0529[95% confidence interval (0.0349, 0.0709)], 0.1543[95% confidence interval (0.1356, 0.1730)], 0.2325[95% confidence interval (0.2132, 0.2518)] and 0.1313[95% confidence interval (0.1174, 0.1451)] in 1993, 1998, 2003 and 2008, respectively. Conclusions Utilization of both outpatient and inpatient services was pro-rich in rural China with the exception of outpatient service in 2008. With the same needs for healthcare, rich rural residents utilized more healthcare service than poor rural residents. Compared to utilization of outpatient service, utilization of inpatient service was more inequitable. Inequity of utilization of outpatient service reduced gradually from 1993 to 2008; meanwhile, inequity of inpatient service utilization increased dramatically from 1993 to 2003 and decreased significantly from 2003 to 2008. Recent attempts in China to increase coverage of insurance and primary healthcare could be a contributing factor to counteract the inequity of outpatient utilization, but better benefit packages and delivery strategies still need to be tested and scaled up to reduce future inequity in inpatient utilization in rural China.

Abstract   Objective: Cancer imposes higher burden on men. Sex differences in healthcare utilization may contribute to this problem. We compared healthcare utilization among adults with and without a history of cancer as measured by having at least one physician visit within the previous 12 months. Material and methods: We analyzed data from 7,229 responders (weighted population size=211,722,892) enrolled in the 2007 Health Information and National Trends Survey (HINTS), a nationally representative sample of non-institutionalized adults in the United States. We used survey weights in all analyses and variance estimation procedures to account for the complex survey design and used logistic regression models to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Results: Study participants consisted of 2808 (48.6%) males and 4421 (51.4%) females. Overall, men were less likely to have seen a physician within the previous 12 months (OR=0.39; 95% CI: 0.31-0.48) regardless of their cancer status. Cancer survivors were more likely to visit a physician within the previous 12 months (OR=2.01; 95% CI: 1.28-3.19) regardless of sex. When stratified by personal history of cancer, men without a history of cancer were less likely to visit a physician (OR=0.38; 95% CI: 0.30-0.47) whereas men with a history of cancer were as likely to have seen a physician in the previous 12 months as women with similar cancer status (OR=1.24; 95% CI: 0.44-3.45). Conclusion: Men increase their healthcare utilization to that of women only after they receive diagnosis of cancer. Targeted interventions to promote utilization of preventive care services by men are needed to reduce the burden of chronic illnesses including cancer among men. Cite this article as: Burnside C, Hudson T, Williams C, Lawson W, Laiyemo AO. Sex differences in the use of healthcare services among US adults with and without a cancer diagnosis. Turk J Urol 2018; 44: 298-302.

Objective To test the hypothesis that higher levels of resilience indicators are associated with lower overall healthcare utilization (HCU) as well as improvements in self-rated health (SRH), we analyzed a representative sample of 4562 adults 50—70 years old enrolled in the US 2010 health and retirement survey. Methods Multivariable logistic regression models estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for high versus low resilience in relation to HCU and SRH improvements over 2 years. Resilience indicators included: cumulative lifetime adversity, social support, global mastery and domain-specific mastery. Cumulative lifetime adversity was defined as 0, 1—2, 3—4 or 5+ events. HCU included hospitalization (any vs. none) and physician visits (<20 vs. ≥20) over 2 years. Findings Hospitalization odds declined by 25 % (OR 0.75, 95 % CI 0.64—0.86), odds of ≥20 physician visits declined by 47 % (OR 0.53, 95 % CI 0.45—0.63) and the odds of SRH improvement increased by 49% (OR 1.49, 95% CI 1.17—1.88) for respondents with high versus low health mastery. Cumulative lifetime adversity manifested a dose-dependent positive relationship with HCU. Specifically, hospitalization odds was, respectively, 25, 80 and 142 % elevated for participants that reported 1—2, 3—4 and 5+ versus 0 lifetime adversities. High versus low global, financial and health mastery, respectively, predicted improved SRH, lower physician's visits and hospitalizations. Conclusion In this sample of adults near or in retirement, resilience predicted lower HCU and improved SRH. Resilience is a dynamic state that can be enhanced in adults with positive impacts on subjective well-being and HCU.

Rationale: There is concern that patients with chronic obstructive pulmonary disease (COPD) are at greater risk of increased healthcare utilization (HCU) following Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-COV-2) infection. Objective: To assess whether COPD is an independent risk factor for increased post-discharge HCU. Methods: We conducted a retrospective cohort study of patients with COPD discharged home from a hospitalization due to Coronavirus Disease 2019 (COVID-19) between April 1, 2020, and March 31, 2021, using Optum's de-identified Clinformatics[R] Data Mart Database (CDM). COVID-19 was identified by an International Classification of Diseases, tenth revision, clinical modification (ICD-10-CM) diagnosis code of U07.1. The primary outcome was HCU (ie, emergency department (ED) visits, readmissions, rehabilitation/skilled nursing facility (SNF) visits, outpatient office visits, and telemedicine visits) nine months post-discharge after COVID-19 hospitalization (from here on \"postdischarge\") in patients with COPD compared to HCU of patients without COPD. Poisson regression modeling was used to calculate relative risk (RR) and confidence interval (CI) for COPD, adjusted for the other covariates. Results: We identified a cohort of 160,913 patients hospitalized with COVID-19, with 57,756 discharged home and 14,622 (25.3%) diagnosed with COPD. Patients with COPD had a mean age of 75.48 years ([+ or -]9.49); 55.5% were female and 70.9% were White. Patients with COPD had an increased risk of HCU in the nine months post-discharge after adjusting for the other covariates. Risk of ED visits, readmissions, length of stay during readmission, rehabilitation/SNF visits, outpatient office visits, and telemedicine visits were increased by 57% (RR 1.57; 95% CI 1.53-1.60), 50% (RR 1.50; 95% CI 1.46-1.54), 55% (RR 1.55; 95% CI 1.53- 1.56), 18% (RR 1.18; 95% CI 1.14-1.22), 16% (RR 1.16; 95% CI 1.16-1.17), and 28% (RR 1.28; 95% CI 1.24-1.31), respectively. Younger patients (ages 18 to 65 years), women, and Hispanic patients with COPD showed an increased risk for post-discharge HCU. Conclusion: Patients with COPD hospitalized with COVID-19 experienced increased HCU post-discharge compared to patients without COPD. Keywords: COPD, Healthcare Utilization disease, COVID-19

Background The purpose of this study was to examine hospital mortality, long-term mortality, and health service utilization among critically ill patients. We also determined whether these outcomes differed according to demographic and clinical characteristics. Methods We conducted a retrospective cohort study of adults (age ≥18 years) who survived admission to an intensive care unit (ICU) in Ontario, Canada, between 1 April 2002 and 31 March 2012, excluding isolated admissions to step-down or intermediate ICUs, coronary care ICUs, or cardiac surgery ICUs. Adults (age ≥18 years) who survived an acute hospitalization that did not include an ICU stay formed the comparator group. The primary outcome was mortality following hospital discharge. Secondary outcomes were healthcare utilization, including emergency room admissions and hospital readmissions during follow-up. Results Over the study interval, 500,124 patients were admitted to ICUs and 420,187 (84 %) survived to hospital discharge. Median follow-up for survivors was 5.3 (interquartile range 2.5, 8.2) years. Patients admitted to an ICU were more likely to subsequently visit the emergency department, be readmitted to the hospital and ICU, receive home care support, require rehabilitation, and be admitted for long-term care. Those requiring more resources within the ICU required more resources after discharge. One-third of patients admitted to the ICU died during long-term follow-up, with overall probabilities of death of 11 % and 29 % at 1 year and 5 years, respectively. In the adjusted analysis, there was an increasing hazard of death with increasing age, reaching a hazard ratio of 18.08 (95 % confidence interval 16.60–19.68) for those ≥85 years of age compared with those aged 18–24 years. Conclusions Healthcare utilization after hospital discharge was higher among ICU patients, and also among those requiring more healthcare resources during their ICU admission, than among all hospitalized patients as a group. One-third of ICU patients died within the 5 years following discharge, and age was the most influential determinant of outcome. These findings should help target post–ICU discharge services for high-risk groups and better inform goals-of-care discussions for elderly critically ill patients.

Chronic obstructive pulmonary disease (COPD) can greatly impact the quality of life by limiting patients' activities. However, data on impact of symptomatic burden on the health care resource utilization (HCRU) and employment in COPD are lacking. We examined the association between COPD Assessment Test (CAT) score and direct/indirect costs associated with HCRU and work productivity. Data from >2,100 patients with COPD consulting for routine care were derived from respiratory disease-specific programs in Europe, the USA and China. Questionnaires, including CAT and Work Productivity and Activity Impairment (WPAI), were used to collect the past and current disease status data and HCRU characteristics from physicians (general practitioners/specialists) and patients. A regression approach was used to quantify the association of CAT with HCRU and WPAI variables. CAT score was modeled as a continuous independent variable (range: 0-40). Ninety percent of patients with COPD had a CAT score ≥10. Short-acting therapy and maintenance bronchodilator monotherapy, respectively, were currently prescribed to patients with CAT scores of 10-19 (5.8% and 27.6%), 20-29 (5.1% and 13.1%) and 30-40 (2.8% and 6.6%). Prescribing of maintenance bronchodilator dual therapy was low across the CAT score groups (0-9, 7.8%; 10-19, 6.4%; 20-29, 5.9%; 30-40, 4.4%), whereas maintenance triple combination therapy was prescribed more commonly in patients with higher CAT scores (0-9, 16.1%; 10-19, 23.2%; 20-29, 25.9%; 30-40, 35.5%). Increasing CAT scores were significantly associated with a higher frequency of primary care physician visits ( <0.001), pulmonologist visits ( =0.007), exacerbations requiring hospitalization ( <0.001) and WPAI scores ( <0.001). Most patients with COPD presented with high symptom levels, despite being treated for COPD. Increasing symptom burden was associated with increasing HCRU and had a detrimental impact on work productivity.

Background Non-cardiac chest pain (NCCP) is a common complaint. Our aim was to present a detailed description of the costs of patients with NCCP compared to patients with acute myocardial infarction (AMI) and Angina Pectoris (AP) from a societal perspective. Methods Data on healthcare utilization and annual societal costs, including direct healthcare costs and indirect costs due to productivity loss, were collected from different databases. The participants consisted of 199 patients from a general hospital in Sweden (99 with NCCP, 51 with AMI, 49 with AP), mean age of 67 years, 59% men. Results NCCP, AMI, and AP patients had on average 54, 50 and 65 primary care contacts and 3, 4, and 4 hospital admissions during a period of 2 years. Length of hospital stay was 6, 11 and 11 days. On average, 14%, 18%, and 25% of NCCP, AMI and AP patients were on sick-leave annually, and about 12% in each group received a disability pension. The mean annual societal costs of NCCP, AMI and AP patients were €10,068, €15,989 and €14,737. Conclusions Although the annual societal cost of NCCP patients was lower than in AMI and AP patients, the cost was still considerable (€10,068). Taken into account the high prevalence of NCCP, the cumulative annual national cost of these patients could be more than the double of AMI and AP if all patients incurred the same costs as in this study. Targeted interventions are important in order to support patients with NCCP and minimize healthcare utilization and costs.