Economic impact of informal caring for a person with arthritis in Australia from 2015 to 2030: a microsimulation approach using national survey data.

OBJECTIVES: To estimate the economic burden of informal caregivers not in the labour force (NILF) due to caring for a person with arthritis in Australia, with projections of these costs from 2015 to 2030. DESIGN: Static microsimulation modelling using national survey data. SETTING: Australia nationwide survey. PARTICIPANTS: Participants include respondents to the Survey of Disability, Ageing and Carers who are informal carers of a person who has arthritis as their main chronic condition and non-carers. OUTCOME MEASURES: Estimating the economic impact and national aggregated costs of informal carers NILF to care for a person with arthritis and projecting these costs from 2015 to 2030 in 5-year intervals. RESULTS: On a per-person basis, when adjusted for age, sex and highest education attained, the difference in average weekly total income between informal carers and non-carers employed in the labour force is $A1051 (95% CI: $A927 to $A1204) in 2015 and projected to increase by up to 22% by 2030. When aggregated, the total national annual loss of income to informal carers NILF is estimated at $A388.2 million (95% CI: $A324.3 to $A461.9 million) in 2015, increasing to $A576.9 million (95% CI: $A489.2 to $A681.8 million) by 2030. The national annual tax revenue lost to the government of the informal carers NILF is estimated at $A99 million (95% CI: $A77.9 to $A126.4 million) in 2015 and is projected to increase 49% by 2030. CONCLUSION: Informal carers NILF are economically worse off than employed non-carers, and the aggregated national annual costs are substantial. The future economic impact of informal carers NILF to care for a person with arthritis in Australia is projected to increase, with the estimated differences in income between informal carers and employed non-carers increasing by 22% from 2015 to 2030.

Examining racial and ethnic trends and differences in annual healthcare expenditures among a nationally representative sample of adults with arthritis from 2008 to 2016.

BACKGROUND: Disparities in health care utilization and outcomes for racial and ethnic minorities with arthritis are well-established. However, there is a paucity of research on racial and ethnic differences in healthcare expenditures and if this relationship has changed over time. Our objectives were to: 1) examine trends in annual healthcare expenditures for adults with arthritis by race and ethnicity, and 2) determine if racial and ethnic differences in annual healthcare expenditures were independent of other factors such as healthcare access and functional disability. METHODS: We used the Medical Expenditures Panel Survey (2008-2016) to examine trends in annual healthcare expenditures within and between racial and ethnic groups with arthritis (n = 227,663). A two-part model was used to estimate the marginal differences in expenditures by race and ethnicity after adjusting for relevant covariates, including the impact of healthcare access. RESULTS: Between 2008 and 2016, there were no significant changes in unadjusted healthcare expenditures within any of the racial and ethnic groups, but the trend among non-Hispanic whites did differ significantly from Hispanics and Other. In fully adjusted analysis, mean annual expenditures for non-Hispanic whites was $946, $939, and $1178 more than non-Hispanic blacks, Hispanics, and Other, respectively (p < .001). Healthcare access also independently explained expenditure differences in this population with adults who delayed care spending significantly more ($2629) versus those who went without care spending significantly less (-$1591). CONCLUSIONS: Race and ethnicity are independent drivers of healthcare expenditures among adults with arthritis independent of healthcare access and functional disability. This underscores the need for ongoing research on the factors that influence persistent racial and ethnic differences in this population.

Assessing Preoperative Risk Factors With Sex Disparities in Total Joint Arthroplasty Patients and Financial Outcomes From the National Inpatient Sample Database.

INTRODUCTION: Disparities in the healthcare system imply potential risks for vulnerable groups whose needs are not appropriately met. Total joint arthroplasty (TJA) is successful in treating end-stage arthritis, resulting in increased demand for the procedure, however remains underused in both sexes, especially in women. Although multiple studies assessed the differences in postoperative morbidities between sexes, there remains a lack in understanding patients' preoperative clinical profile and nonclinical demographics. The aim of this study is to provide a population-based epidemiologic assessment of preoperative risk factors and sex disparities and assess differences in outcomes following TJA. METHODS: The National Inpatient Sample database from 2006 to 2011 was analyzed. Patients who underwent primary total knee and hip arthroplasty were identified and stratified into two cohorts of male and female, and demographic data and comorbidities were collected. Postoperative complications, length of stay, total charges, and discharge destination were measured for matched cohorts. RESULTS: Female patients present for TJAs at an older average age, are less likely to present with AIDS, alcohol abuse, coagulopathy, congestive heart failure, drug abuse, liver disease, peripheral vascular disease, and renal failure, and are more likely to present with anemia, autoimmune disorders, chronic obstructive pulmonary disease, depression, obesity, and valvular disease. Postoperatively, the average length of stay for female patients was markedly higher (3.52 versus 3.39) and a lower percentage went home (59% versus 73%). Overall, female patients experience greater odds of any complication while in-patient. DISCUSSION: This study highlighted sex differences in areas that could account for the underuse of the procedure in both sexes, with women affected to a greater extent. Understanding these factors will help address the unmet needs of both sexes after TJA by encouraging future studies and provider education to ensure that all patients are able to access the necessary procedures for pain relief and functional improvement.

Adult health burden and costs in California during 2013 associated with prior adverse childhood experiences.

OBJECTIVES: To estimate the adult health burden and costs in California during 2013 associated with adults' prior Adverse Childhood Experiences (ACEs). METHODS: We analyzed five ACEs-linked conditions (asthma, arthritis, COPD, depression, and cardiovascular disease) and three health risk factors (lifetime smoking, heavy drinking, and obesity). We estimated ACEs-associated fractions of disease risk for people aged 18+ for these conditions by ACEs exposure using inputs from a companion study of California Behavioral Risk Factor Surveillance System data for 2008-2009, 2011, and 2013. We combined these estimates with published estimates of personal healthcare spending and Disability-Adjusted-Life-Years (DALYs) in the United States by condition during 2013. DALYs captured both the years of healthy life lost to disability and the years of life lost to deaths during 2013. We applied a published estimate of cost per DALY. RESULTS: Among adults in California, 61% reported ACEs. Those ACEs were associated with $10.5 billion in excess personal healthcare spending during 2013, and 434,000 DALYs valued at approximately $102 billion dollars. During 2013, the estimated health burden per exposed adult included $589 in personal healthcare expenses and 0.0224 DALYs valued at $5,769. CONCLUSIONS: Estimates of the costs of childhood adversity are far greater than previously understood and provide a fiscal rationale for prevention efforts.

Early arthritis clinic is cost-effective, improves outcomes and reduces biologic use.

There is good evidence that dedicated early arthritis clinics (EACs) improve referral lag time and reduce delay in establishing disease-modifying therapy. However, it remains arguable whether such clinics improve relevant disease outcomes. Nationally, only 57% of units have dedicated EACs. Our rheumatology department established a centralised, patient-focused and multidisciplinary EAC to achieve key financial and clinical outcome targets the department was failing to meet. The EAC aimed to increase the department's capacity to accommodate referrals from general practitioners (GPs) and other sources, decrease the time between diagnosis and starting therapy, establish standardised treatment algorithms and reduce biologic use. The EAC was established in January 2016 and comprised the introduction of a dedicated referral pro forma and an EA educational programme for GPs, pooling of all sources of referral, running of six EACs per week with availability of ultrasound and introduction of a standardised approach to the early initiation of therapy and timely review of treatment outcomes. The introduction of the EAC was associated with improved clinical outcomes (EA patients achieving a Disease Activity Score 28 (DAS28) < 3.2 in 2015, 38.0% [N = 113] vs. 78.5% [N = 220] in 2016) and overall patient experience (mean waiting time for EA patients' first appointment in 2015: 12 weeks vs. 2.5 weeks in 2016; 94% [N = 167] of patients recommended the rheumatology service in 2016 vs. 74% [N = 100] in 2015). The total costs associated with introducing the EAC were ~ £201,362. Use of biologics decreased from 26.0 to 5.6% between 2015 and 2016, resulting in a cost saving of ~ £394,942. Other cost savings associated with the EAC included reductions in the overall cost/patient seen (2015, £198.88; 2016, £74.98) and not running any premium rate initiative clinics (saving ~ £26,500 in 2016) to meet waiting list targets. Efficiency gains from the introduction of the EACs have improved patients' health and overall satisfaction with their treatment, whilst saving costs for healthcare.

Outcomes, Satisfaction, and Costs of a Rheumatology Telemedicine Program: A Longitudinal Evaluation.

OBJECTIVES: Rural veterans with inflammatory arthritis (IA) lack medical access because of geographic barriers. Telemedicine (TM) holds great promise in relieving these disparities. We have prospectively measured patient-centered data surrounding a TM care program at a federal health system and compared these with usual care (UC). METHODS: Veterans with previously established IA were enrolled in TM follow-up. Data collected longitudinally before and after entering the program included Routine Assessment of Patient Index Data 3 (RAPID-3), out-of-pocket visit costs and distances traveled, and patient satisfaction instruments. Demographics were recorded. Similar data were collected on a convenience sample of concurrent IA patients receiving UC. RESULTS: Eighty-five patients were observed, including 25 receiving TM care and 60 receiving UC. No differences in demographics, satisfaction scores, or RAPID-3 were noted at baseline between groups. Univariate linear regression of cross-sectional baseline data suggests satisfaction instrument scores were predicted by RAPID-3 (ß = -0.64/10 points, p = 0.01), as well as distance (ß = -0.19/100 miles, p = 0.02) and cost (ß = -0.37/$100, p = 0.05). A multivariate model indicates both distance (ß = -0.17/100 miles, p = 0.02) and RAPID-3 (ß = -0.47/10 points, p < 0.03) were predictors for visit satisfaction. In longitudinal follow-up via TM, satisfaction (Δ = 0.03, p = 0.94) and RAPID-3 (Δ = 0.27, p = 0.89) remained similar to baseline among TM patients, whereas distance traveled (Δ = -384.8 miles/visit, p < 0.01) and visit costs (Δ = -$113.8/visit, p < 0.01) were reduced. CONCLUSIONS: Patient-reported outcomes for care delivered via TM were similar to UC, with significant cost and distance savings. Patient-centered factors such as distance to care should be considered in design care delivery models, as they appear to drive patient satisfaction in conjunction with disease control.

Strategies for Managing the Costs of Chronic Illness in the Context of Limited Financial Resources: A Qualitative Study in Dominican Persons With Arthritis.

OBJECTIVE: Persons who reside in low- and middle-income countries often have insufficient resources to pay for treatments prescribed for their medical conditions. The aim of this study was to determine, using qualitative methods, how patients with arthritis in the Dominican Republic manage the costs associated with chronic illnesses. METHODS: We conducted individual interviews with 17 Dominican adults with advanced arthritis who were undergoing total knee replacement or total hip replacement at a hospital in Santo Domingo, Dominican Republic. Interviewers followed a moderator's guide with questions pertaining to the financial demands of arthritis treatment and the strategies participants used to pay for treatments. Interviews were audio recorded, transcribed verbatim, and translated into English. We used thematic analysis to identify salient themes. RESULTS: The thematic analysis suggested that health system factors (such as the extent of reimbursement for medications available in the public health care system) along with personal factors (such as disposable income) shaped individuals' experiences of managing chronic illness. These systemic and personal factors contributed to a sizeable gap between the cost of care and the amount most participants were able to pay. Participants managed this resource gap using a spectrum of strategies ranging from acceptance (or, "making do with less") to resourcefulness (or, "finding more"). Participants were aided by strong community bonds and religiously oriented resilience. CONCLUSION: This qualitative study illuminates the range of strategies Dominican individuals with limited resources use to obtain health care and manage chronic illness. The findings raise hypotheses that warrant further study and could help guide provider-patient conversations regarding treatment adherence.

Protocol for evaluating and implementing a pragmatic value-based healthcare management model for patients with inflammatory arthritis: a Danish population-based regional cohort and qualitative implementation study.

INTRODUCTION: The provision of healthcare for patients with inflammatory arthritis occurs in the context of somewhat conflicting targets, values and drivers. Therefore, there is a need for introducing 'value-based healthcare' defined as the value of patient relevant health outcomes in relation to costs. This term is a central part of tomorrow's healthcare sector, especially for rheumatic diseases, yet the transition is a huge challenge, as it will impact the development, delivery and assessment of healthcare. AIMS: The aim of this study is to compare medical and patient evaluated impact of the traditional settlement and financing production (DAGS) controlled healthcare setting with a value-based and patient-centred adjunctive to standard care. METHODS AND ANALYSIS: Patients with inflammatory arthritis receiving treatment in routine care at the outpatient clinics in the Capital Region of Denmark will prospectively and consecutively be enrolled in a Non-Intervention-Study framework providing a pragmatic value-based management model. A Danish reference cohort, used for comparison will be collected as part of routine clinical care. The enrolment period will be from 1 June 2018 until 31December 2023. Baseline and follow-up visits will be according to routine clinical care. Registry data will be obtained directly from patients and include personal, clinical and outcomes information. The study results will be reported in accordance with the STROBE statement. ETHICS AND DISSEMINATION: The study has been notified to the Danish Data Protection Agency and granted authorisation for the period June 2018 to January 2025 (pending). Informed consent will be obtained from all patients before enrolment in the study. The study is approved by the ethics committee, Capital Region of Denmark (H-18013158). Results of the study will be disseminated through publication in international peer-reviewed journals.

The long-term economic impacts of arthritis through lost productive life years: results from an Australian microsimulation model.

BACKGROUND: While the direct (medical) costs of arthritis are regularly reported in cost of illness studies, the 'true' cost to indivdiuals and goverment requires the calculation of the indirect costs as well including lost productivity due to ill-health. METHODS: Respondents aged 45-64 in the ABS Survey of Disability, Ageing and Carers 2003, 2009 formed the base population. We projected the indirect costs of arthritis using Health&WealthMOD2030 - Australia's first microsimulation model on the long-term impacts of ill-health in older workers - which incorporated outputs from established microsimulation models (STINMOD and APPSIM), population and labour force projections from Treasury, and chronic conditions trends for Australia. All costs of arthritis were expressed in real 2013 Australian dollars, adjusted for inflation over time. RESULTS: We estimated there are 54,000 people aged 45-64 with lost PLYs due to arthritis in 2015, increasing to 61,000 in 2030 (13% increase). In 2015, people with lost PLYs are estimated to receive AU$706.12 less in total income and AU$311.67 more in welfare payments per week than full-time workers without arthritis, and pay no income tax on average. National costs include an estimated loss of AU$1.5 billion in annual income in 2015, increasing to AU$2.4 billion in 2030 (59% increase). Lost annual taxation revenue was projected to increase from AU$0.4 billion in 2015 to $0.5 billion in 2030 (56% increase). We projected a loss in GDP of AU$6.2 billion in 2015, increasing to AU$8.2 billion in 2030. CONCLUSIONS: Significant costs of arthritis through lost PLYs are incurred by individuals and government. The effectiveness of arthritis interventions should be judged not only on healthcare use but quality of life and economic wellbeing.

Trends in Healthcare Expenditures among Individuals with Arthritis in the United States from 2008 to 2014.

OBJECTIVE: With the expected rise in the arthritis population, information is required regarding trends of healthcare expenditures among individuals with arthritis in the United States. We examined temporal trends in direct and out-of-pocket (OOP) healthcare expenditures among individuals with arthritis using a nationally representative database, the Medical Expenditures Panel Survey. METHODS: The study population was composed of cross-sectional cohorts of individuals aged ≥ 18 years from 2008 to 2014. Two-part models were used to estimate the incremental total and types of annual direct and OOP healthcare expenditures (adjusted to 2014 US dollars) for arthritis, after controlling for predisposing, enabling, need, personal health practice, and external environmental factors, as per the Anderson Healthcare Behavioral Model. RESULTS: An annual weighted arthritis population rose from 56.1 million in 2008 to 65.1 million in 2014. Among individuals with arthritis, the annual average direct and OOP expenditure was $10,424 [standard error (SE) = $345, aggregate = $584.8 billion] and $1493 (SE = $50, aggregate = $83.8 billion) in 2008, respectively, and $910 (SE = $279, total = $645.1 billion) and $1099 (SE = $36, aggregate = $71.5 billion) in 2014, respectively. In the fully adjusted model, individuals with arthritis had significantly greater total and OOP expenditures from 2008 to 2014; however, the magnitude of incremental OOP expenditure declined from 2008 to 2014. CONCLUSION: Although the annual direct healthcare expenditures per person remained stable over the years, the rise in proportion of the arthritis population led to a huge increase in aggregate economic burden to the US healthcare system.

Medical Expenditures and Earnings Losses Among US Adults With Arthritis in 2013.

OBJECTIVE: We estimated the economic impact of arthritis using 2013 US Medical Expenditure Panel Survey (MEPS) data. METHODS: We calculated arthritis-attributable and all-cause medical expenditures for adults age ≥18 years and arthritis-attributable earnings losses among those ages 18-64 years who had ever worked. We calculated arthritis-attributable costs using multistage regression-based methods, and conducted sensitivity analyses to estimate costs for 2 other arthritis definitions in MEPS. RESULTS: In 2013, estimated total national arthritis-attributable medical expenditures were $139.8 billion (range $135.9-$157.5 billion). Across expenditure categories, ambulatory care expenditures accounted for nearly half of arthritis-attributable expenditures. All-cause expenditures among adults with arthritis represented 50% of the $1.2 trillion national medical expenditures among all US adults in MEPS. Estimated total national arthritis-attributable earning losses were $163.7 billion (range $163.7-$170.0 billion). The percentage with arthritis who worked in the past year was 7.2 percentage points lower than those without arthritis (76.8% [95% confidence interval (95% CI)] 75.0-78.6 and 84.0% [95% CI 82.5-85.5], respectively, adjusted for sociodemographics and chronic conditions). Total arthritis-attributable medical expenditures and earnings losses were $303.5 billion (range $303.5-$326.9 billion). CONCLUSION: Total national arthritis-attributable medical care expenditures and earnings losses among adults with arthritis were $303.5 billion in 2013. High arthritis-attributable medical expenditures might be reduced by greater efforts to reduce pain and improve function. The high earnings losses were largely attributable to the substantially lower prevalence of working among those with arthritis compared to those without, signaling the need for interventions that keep people with arthritis in the workforce.

The Duality of Economic Issues With Medication Non-adherence in Patients With Inflammatory Arthritis.

PURPOSE OF REVIEW: In this review, we synthesize current data on non-adherence across inflammatory arthritides and explore (1) the effects of economic factors on non-adherence and (2) the impacts of non-adherence on economic outcomes. RECENT FINDINGS: Recent evidence demonstrates medication non-adherence rates as high as 74% in ankylosing spondylitis (AS), 90% in gout, 50% in psoriatic arthritis (PsA), 75% in systemic lupus erythematosus (SLE), and 82% in rheumatoid arthritis (RA). The effects of socioeconomic factors have been studied most in RA and SLE but with inconsistent findings. Nonetheless, the evidence points to having prescription coverage and costs of treatment as important factors in RA and education as an important factor in SLE. Limited data in AS and gout, and no studies of the effects of socioeconomic factors in PsA, show knowledge gaps for future research. Finally, there is a dearth of data with respect to the impacts of non-adherence on economic outcomes.

Prevalence of arthritis according to age, sex and socioeconomic status in six low and middle income countries: analysis of data from the World Health Organization study on global AGEing and adult health (SAGE) Wave 1.

BACKGROUND: In higher income countries, social disadvantage is associated with higher arthritis prevalence; however, less is known about arthritis prevalence or determinants in low to middle income countries (LMICs). We assessed arthritis prevalence by age and sex, and marital status and occupation, as two key parameters of socioeconomic position (SEP), using data from the World Health Organization Study on global AGEing and adult health (SAGE). METHODS: SAGE Wave 1 (2007-10) includes nationally-representative samples of older adults (≥50 yrs), plus smaller samples of adults aged 18-49 yrs., from China, Ghana, India, Mexico, Russia and South Africa (n = 44,747). Arthritis was defined by self-reported healthcare professional diagnosis, and a symptom-based algorithm. Marital status and education were self-reported. Arthritis prevalence data were extracted for each country by 10-year age strata, sex and SEP. Country-specific survey weightings were applied and weighted prevalences calculated. RESULTS: Self-reported (lifetime) diagnosed arthritis was reported by 5003 women and 2664 men (19.9% and 14.1%, respectively), whilst 1220 women and 594 men had current symptom-based arthritis (4.8% and 3.1%, respectively). For men, standardised arthritis rates were approximately two- to three-fold greater than for women. The highest rates were observed in Russia: 38% (95% CI 36%-39%) for men, and 17% (95% CI 14%-20%) for women. For both sexes and in all LMICs, arthritis was more prevalent among those with least education, and in separated/divorced/widowed women. CONCLUSIONS: High arthritis prevalence in LMICs is concerning and may worsen poverty by impacting the ability to work and fulfil community roles. These findings have implications for national efforts to prioritise arthritis prevention and management, and improve healthcare access in LMICs.

Economic Burden of Chronic Conditions Among Survivors of Cancer in the United States.

Purpose The prevalence of cancer survivorship and chronic health conditions is increasing. Limited information exists on the economic burden of chronic conditions among survivors of cancer. This study examines the prevalence and economic effect of chronic conditions among survivors of cancer. Methods Using the 2008 to 2013 Medical Expenditure Panel Survey, we present nationally representative estimates of the prevalence of chronic conditions (heart disease, high blood pressure, stroke, emphysema, high cholesterol, diabetes, arthritis, and asthma) and multiple chronic conditions (MCCs) and the incremental annual health care use, medical expenditures, and lost productivity for survivors of cancer attributed to individual chronic conditions and MCCs. Incremental use, expenditures, and lost productivity were evaluated with multivariable regression. Results Survivors of cancer were more likely to have chronic conditions and MCCs compared with adults without a history of cancer. The presence of chronic conditions among survivors of cancer was associated with substantially higher annual medical expenditures, especially for heart disease ($4,595; 95% CI, $3,262 to $5,927) and stroke ($3,843; 95% CI, $1,983 to $5,704). The presence of four or more chronic conditions was associated with increased annual expenditures of $10,280 (95% CI, $7,435 to $13,125) per survivor of cancer. Annual lost productivity was higher among survivors of cancer with other chronic conditions, especially stroke ($4,325; 95% CI, $2,687 to $5,964), and arthritis ($3,534; 95% CI, $2,475 to $4,593). Having four or more chronic conditions was associated with increased annual lost productivity of $9,099 (95% CI, $7,224 to $10,973) per survivor of cancer. The economic impact of chronic conditions was similar among survivors of cancer and individuals without a history of cancer. Conclusion These results highlight the importance of ensuring access to lifelong personalized screening, surveillance, and chronic disease management to help manage chronic conditions, reduce disruptions in employment, and reduce medical expenditures among survivors of cancer.

The impact of arthritis and joint pain on individual healthcare expenditures: findings from the Medical Expenditure Panel Survey (MEPS), 2011.

BACKGROUND: Joint pain, including back pain, and arthritis are common conditions in the United States, affecting more than 100 million individuals and costing upwards of $200 billion each year. Although activity limitations associated with these disorders impose a substantial economic burden, this relationship has not been explored in a large U.S. cohort. METHODS: In this study, we used the Medical Expenditures Panel Survey to investigate whether functional limitations explain the difference in medical expenditures between patients with arthritis and joint pain and those without. We used sequential explanatory linear models to investigate this relationship and accounted for various covariates. RESULTS: Unadjusted mean expenditures were $10,587 for those with joint pain or arthritis, compared with $3813 for those without. In a fully adjusted model accounting also for functional limitations, those with joint pain or arthritis paid $1638 more than those without, a statistically significant difference. CONCLUSIONS: The growing economic and public health burden of arthritis and joint pain, as well as the corresponding complications of functional, activity, and sensory limitations, calls for an interdisciplinary approach and heightened awareness among providers to identify strategies that meet the needs of high-risk patients in order to prevent and delay disease progression.

Healthcare burden of depression in adults with arthritis.

INTRODUCTION: Arthritis and depression are two of the top disabling conditions. When arthritis and depression exist in the same individual, they can interact with each other negatively and pose a significant healthcare burden on the patients, their families, payers, healthcare systems, and society as a whole. Areas covered: The primary objective of this review is to summarize, identify knowledge gaps and discuss the challenges in estimating the healthcare burden of depression among individuals with arthritis. Electronic literature searches were performed on PubMed, Embase, EBSCOhost, Scopus, the Cochrane Library, and Google Scholar to identify relevant studies. Expert Commentary: Our review revealed that the prevalence of depression varied depending on the definition of depression, type of arthritis, tools and threshold points used to identify depression, and the country of residence. Depression exacerbated arthritis-related complications as well as pain and was associated with poor health-related quality of life, disability, mortality, and high financial burden. There were significant knowledge gaps in estimates of incident depression rates, depression attributable disability, and healthcare utilization, direct and indirect healthcare costs among individuals with arthritis.

Economic Decision Model Suggests Total Shoulder Arthroplasty is Superior to Hemiarthroplasty in Young Patients with End-stage Shoulder Arthritis.

BACKGROUND: Young patients with severe glenohumeral arthritis pose a challenging management problem for shoulder surgeons. Two controversial treatment options are total shoulder arthroplasty (TSA) and hemiarthroplasty. This study aims to characterize costs, as expressed by reimbursements for episodes of acute care, and outcomes associated with each treatment. QUESTIONS/PURPOSES: We asked: for patients 30 to 50 years old with severe end-stage glenohumeral arthritis refractory to conservative management, (1) are more years of patient-derived satisfactory outcome by the Neer criteria and quality-adjusted life-years (QALYs) achieved using a TSA or a hemiarthroplasty; (2) does a TSA or a hemiarthroplasty result in a greater number of revision procedures; and (3) does a TSA or a hemiarthroplasty result in greater associated costs to society? METHODS: The incidence of glenohumeral arthritis among 30- to 50-year-old patients, outcomes, reoperation probabilities, and associated costs from TSA and hemiarthroplasty were derived from the literature. A Markov chain decision tree model was developed from these estimates with number of revisions, cost of management for patients to 70 years old as defined by reimbursement for acute-care episodes, years with "satisfactory" or "excellent" outcome by the modified Neer criteria, and QALYs gained as principle outcome measures. A Monte Carlo simulation was conducted with a cohort representing the at-risk population for shoulder arthritis between 30 and 50 years old in the United States. RESULTS: During the lifetime of a cohort of 5279 patients, hemiarthroplasty as the initial treatment resulted in 59,574 patient years of satisfactory or excellent results (11.29 per patient) and average QALYs gained of 6.55, whereas TSA as the initial treatment resulted in 85,969 patient years of satisfactory or excellent results (16.29 per patient) and average QALYs gained of 7.96. During the lifetime of a cohort of 5279 patients, a hemiarthroplasty as the initial treatment led to 2090 lifetime revisions (0.4 per patient), whereas a TSA as the initial treatment led to 1605 lifetime revisions (0.3 per patient). During the lifetime of a cohort of 5279 patients, a hemiarthroplasty as initial treatment resulted in USD 132,500,000 associated direct reimbursements (USD 25,000 per patient), whereas a TSA as initial treatment resulted in USD 125,500,000 associated direct reimbursements (USD 23,700 per patient). CONCLUSIONS: Treatment of end-stage glenohumeral arthritis refractory to conservative treatment in patients 30 to 50 years old in the United States with TSA, instead of hemiarthroplasty, would result in greater cost savings, avoid a substantial number of revision procedures, and result in greater years of satisfactory or excellent patient outcomes and greater QALYs gained. On a population level, TSA is the cost-effective treatment for glenohumeral arthritis in patients 30 to 50 years old. LEVEL OF EVIDENCE: Level II, economic and decision analysis study.

Incidence and economic burden of prosthetic joint infections in a university hospital: A report from a middle-income country.

In this study, we aimed to evaluate the incidence and economic burden of prosthetic joint infections (PJIs) in a university hospital in a middle-income country. Surveillance data between April 2011 and April 2013 in the Orthopedic Surgery Department was evaluated. Patients (>16 years old) who had primary arthroplasty in Erciyes University were included in the study, and patients with preoperative infection were excluded. Patients were followed up during their stay in the hospital and during readmission to the hospital for PJI by a trained Infection Control Nurse. During the study period, 670 patients were followed up. There were 420 patients (62.7%) with total hip arthroplasty (THA), 241 (36.0%) with total knee arthroplasty (TKA) and 9 (1.3%) with shoulder arthroplasty (SA). The median age was 64, and 70.6% were female. The incidence of PJI was 1.2% (5/420) in THA, 4.6% (11/241) in TKA and 0% (0/9) in SA. PJI was significantly more prevalent in TKA (p=0.029). All of the PJIs showed early infection, and the median time for the development of PJI was 23.5 days (range 7-120 days). The median total length of the hospital stay was seven times higher in PJI patients than patients without PJI (49 vs. 7 days, p=0.001, retrospectively). All hospital costs were 2- to 24-fold higher in patients with PJI than in those without PJI (p=0.001). In conclusion, the incidence and economic burden of PJI was high. Implementing a national surveillance system and infection control protocols in hospitals is essential for the prevention of PJI and a cost-effective solution for the healthcare system in low-middle-income countries.

Factors associated with the health care cost in older Australian women with arthritis: an application of the Andersen's Behavioural Model of Health Services Use.

OBJECTIVE: Factors associated with the utilisation of health care have not been rigorously examined in people with arthritis. The objective of this study was to examine the determinants of health care utilisation and costs in older women with arthritis using the Andersen's behavioural model as a framework. STUDY DESIGN: Longitudinal cohort study. METHODS: Participants of Surveys 3 to 5 of the Australian Longitudinal Study on Women's Health who reported arthritis were included in the study. Information about health care utilisation and unit prices were based on linked Medicare Australia data, which included prescription medicines and health services. Total health care costs of participants with arthritis were measured for the years 2002 to 2003, 2005 to 2006, and 2008 to 2009, which corresponded to the survey years. Potential explanatory variables of the health care cost and other characteristics of the participants were collected from the health surveys. Explanatory variables were grouped into predisposing characteristics, enabling factors and need variables conforming to the Andersen's Behavioural Model of Health Services Use. Longitudinal data analysis was conducted using generalized estimating equations. RESULTS: A total of 5834 observations were included for the three periods. Regression analysis results show that higher health care cost in older Australian women with arthritis was significantly associated with residing in an urban area, having supplementary health insurance coverage, more comorbid conditions, using complementary and alternative medicine, and worse physical functioning. It was also found that predisposing characteristics (such as the area of residence) and enabling factors (such as health insurance coverage) accounted for more variance in the health care cost than need variables (such as comorbid conditions). CONCLUSION: These results may indicate an inefficient and unfair allocation of subsidised health care among older Australian women with arthritis, where individuals with less enabling resources and more socio-economic disadvantages have a lower level of health care utilisation. Future research may focus on evaluating the effectiveness of policies designed to reduce excessive out-of-pocket costs and to improve equity in health care access in the older population.