Changes in educational inequalities in knee and hip osteoarthritis surgery and non-surgery specialist care visits over time in Sweden.

Objective: To examine changes in prevalence and socioeconomic inequalities in knee and hip OA outcomes, in more specific surgery and non-surgery specialist care visits, from 2001 to 2011 in Sweden and to what extent sociodemographic factors can explain the changes. Design: We included all individuals aged ≥35 years resident in Sweden from 2001 to 2011. Individual-level data was retrieved from the Swedish Interdisciplinary Panel. Highest educational attainment was used as socioeconomic measure and the concentration index was used to assess relative and absolute educational inequalities. We used decomposition method to examine changes in prevalence and relative educational inequalities. Results: A total of 4,794,693 and 5,359,186 people were included for the years 2001 and 2011, respectively. The crude prevalence of surgery and specialist visits for knee and hip OA was 36-83% higher in 2011 than in 2001. The increase in hip OA outcomes was largely explained by changes in the sociodemographic composition of the population, whereas for knee OA outcomes, changes in the strength of the associations with sociodemographic factors appeared more important. All outcomes were concentrated among people with lower education in all study years. The relative inequalities declined over the study period, while the absolute inequalities increased for knee OA outcomes and remained stable for hip OA. Conclusion: Our findings show an increasing burden of all studied OA outcomes. Moreover, our findings suggest persistent educational inequalities with more surgeries and specialist visits among lower-educated individuals. Future research should incorporate additional variables to better understand and address these inequalities.

The contributions of avoidable causes of death to gender gap in life expectancy and life disparity in the US and Canada: 2001-2019.

OBJECTIVES: This study measures public health policies' and healthcare system's influence, by assessing the contributions of avoidable deaths, on the gender gaps in life expectancy and disparity (GGLD and GGLD, respectively) in the United States (US) and Canada from 2001 to 2019. METHODS: To estimate the GGLE and GGLD, we retrieved age- and sex-specific causes of death from the World Health Organization's mortality database. By employing the continuous-change model, we decomposed the GGLE and GGLD by age and cause of death for each year and over time using females as the reference group. RESULTS: In Canada and the US, the GGLE (GGLD) narrowed (increased) by 0.9 (0.2) and 0.2 (0.3) years, respectively. Largest contributor to the GGLE was non-avoidable deaths in Canada and preventable deaths in the US. Preventable deaths had the largest contributions to the GGLD in both countries. Ischemic heart disease contributed to the narrowing GGLE/GGLD in both countries. Conversely, treatable causes of death increased the GGLE/GGLD in both countries. In Canada, "treatable & preventable" as well as preventable causes of death narrowed the GGLE while opposite was seen in the US. While lung cancer contributed to the narrowing GGLE/GGLD, drug-related death contributed to the widening GGLE/GGLD in both countries. Injury-related deaths contributed to the narrowing GGLE/GGLD in Canada but not in the US. The contributions of avoidable causes of death to the GGLE declined in the age groups 55-74 in Canada and 70-74 in the US, whereas the GGLE widened for ages 25-34 in the US. CONCLUSION: Canada experienced larger reduction in the GGLE compared to the US attributed mainly to preventable causes of death. To narrow the GGLE and GGLD, the US needs to address injury deaths. Urgent interventions are required for drug-related death in both countries, particularly among males aged 15-44 years.

Inflammatory rheumatic diseases and the risk of drug use disorders: a register-based cohort study in Sweden.

To investigate the association between chronic inflammatory rheumatic diseases (CIRD) and drug use disorder (DUD). Individuals aged ≥ 30 years in 2009 that met the following conditions were included: residing in the Skåne region, Sweden, with at least one healthcare contact in person and no history of DUD (ICD-10 codes F11-F16, F18-F19) during 1998-2009 (N = 649,891). CIRD was defined as the presence of rheumatoid arthritis (RA), ankylosing spondylitis (AS), psoriatic arthritis (PsA), or systemic lupus erythematosus. Treating CIRD as a time-varying exposure, we followed people from January 1, 2010 until a diagnosis of DUD, death, relocation outside the region, or December 31, 2019, whichever occurred first. We used flexible parametric survival models adjusted for attained age, sociodemographic characteristics, and coexisting conditions for data analysis. There were 64 (95% CI 62-66) and 104 (88-123) incident DUD per 100,000 person-years among those without and with CIRD, respectively. CIRD was associated with an increased risk of DUD in age-adjusted analysis (hazard ratio [HR] 1.77, 95% CI 1.49-2.09). Almost identical HR (1.71, 95% CI 1.45-2.03) was estimated after adjustment for sociodemographic characteristics, and it slightly attenuated when coexisting conditions were additionally accounted for (1.47, 95% CI 1.24-1.74). Fully adjusted HRs were 1.49 (1.21-1.85) for RA, 2.00 (1.38-2.90) for AS, and 1.58 (1.16-2.16) for PsA. More stringent definitions of CIRD didn't alter our findings. CIRD was associated with an increased risk of DUD independent of sociodemographic factors and coexisting conditions. Key Points • A register-based cohort study including 649,891 individuals aged≥30 residing in the Skåne region, Sweden, was conducted. • Chronic inflammatory rheumatic diseases were associated with higher risks of drug use disorder independent of sociodemographic factors and coexisting conditions.

Income-Related Inequality Changes in Osteoarthritis First-Line Interventions: A Cohort Study.

OBJECTIVE: To examine income-related inequality changes in the outcomes of an osteoarthritis (OA) first-line intervention. DESIGN: Retrospective cohort study. SETTING: Swedish health care system. PARTICIPANTS: We included 115,403 people (age: 66.2±9.7 years; females 67.8%; N=115,403) with knee (67.8%) or hip OA (32.4%) recorded in the "Swedish Osteoarthritis Registry" (SOAR). INTERVENTIONS: Exercise and education. MAIN OUTCOME MEASURES: Erreygers' concentration index (E) measured income-related inequalities in "Pain intensity," "Self-efficacy," "Use of NSAIDs," and "Desire for surgery" at baseline, 3-month, and 12-month follow-ups and their differences over time. E-values range from -1 to +1 if the health variables are more concentrated among people with lower or higher income. Zero represents perfect equality. We used entropy balancing to address demographic and outcome imbalances and bootstrap replications to estimate confidence intervals for E differences over time. RESULTS: Comparing baseline to 3 months, "pain" concentrated more among individuals with lower income initially (E=-0.027), intensifying at 3 months (difference with baseline: E=-0.011 [95% CI: -0.014; -0.008]). Similarly, the "Desire for surgery" concentrated more among individuals with lower income initially (E=-0.009), intensifying at 3 months (difference with baseline: E=-0.012 [-0.018; -0.005]). Conversely, "Self-efficacy" concentrated more among individuals with higher income initially (E=0.058), intensifying at 3 months (difference with baseline: E=0.008 [0.004; 0.012]). Lastly, the "Use of NSAIDs" concentrated more among individuals with higher income initially (E=0.068) but narrowed at 3 months (difference with baseline: E=-0.029 [-0.038; -0.021]). Comparing baseline with 12 months, "pain" concentrated more among individuals with lower income initially (E=-0.024), intensifying at 12 months (difference with baseline: E=-0.017 [-0.022; -0.012]). Similarly, the "Desire for surgery" concentrated more among individuals with lower income initially (E=-0.016), intensifying at 12 months (difference with baseline: E=-0.012 [-0.022; -0.002]). Conversely, "Self-efficacy" concentrated more among individuals with higher income initially (E=0.059), intensifying at 12 months (difference with baseline: E=0.016 [0.011; 0.021]). The variable 'Use of NSAIDs' was not recorded in the SOAR at 12-month follow-up. CONCLUSION: Our results highlight the increase of income-related inequalities in the SOAR over time.

Weekly pain trajectories among people with knee or hip osteoarthritis participating in a digitally delivered first-line exercise and education treatment.

OBJECTIVE: Digital self-management programs are increasingly used in the management of osteoarthritis (OA). Little is known about heterogeneous patterns in response to these programs. We describe weekly pain trajectories of people with knee or hip OA over up to 52-week participation in a digital self-management program. METHODS: Observational cohort study among participants enrolled between January 2019 and September 2021 who participated at least 4 and up to 52 weeks in the program (n = 16 274). We measured pain using Numeric Rating Scale (NRS 0-10) and applied latent class growth analysis to identify classes with similar trajectories. Associations between baseline characteristics and trajectory classes were examined using multinomial logistic regression and dominance analysis. RESULTS: We identified 4 pain trajectory classes: "mild-largely improved" (30%), "low moderate-largely improved" (34%), "upper moderate-improved" (24%), and "severe-persistent" (12%). For classes with decreasing pain, the most pain reduction occurred during first 20 weeks and was stable thereafter. Male sex, older age, lower body mass index (BMI), better physical function, lower activity impairment, less anxiety/depression, higher education, knee OA, no walking difficulties, no wish for surgery and higher physical activity, all measured at enrolment, were associated with greater probabilities of membership in "mild-largely improved" class than other classes. Dominance analysis suggested that activity impairment followed by wish for surgery and walking difficulties were the most important predictors of trajectory class membership. CONCLUSIONS: Our results highlight the importance of reaching people with OA for first-line treatment prior to developing severe pain, poor health status and a wish for surgery.

Contributions of avoidable mortality to the sex gap in life expectancy and life disparity in Iran.

BACKGROUND: Public health policies and healthcare quality play a pivotal role on the health outcome level and disparities across sociodemographic groups. However, there is little evidence on their role on disparities in life expectancy (LE) and life disparity (LD) in low and middle income countries. The present study aimed to assess the contributions of avoidable mortality, as a measure of inter-sectoral public health policies and healthcare quality, into the sex gap in LE (SGLE) and LD (SGLD) in Iran. METHODS: Latest available data of death causes, according to the ICD codes, for Iran was obtained from the WHO mortality database for the period 2015-2016. An upper age limit of 75 years was applied to define avoidable causes of death. LD was measured as the average years of life lost at birth. The SGLE and SGLD (both females minus males) were decomposed by age and cause of death using a continuous-change model. RESULTS: Females, on average, outlived males for 3.8 years (80.0 vs. 76.2 years) with 1.9 lower life years lost (12.6 vs. 14.4 years). Avoidable causes accounted for 2.5 (67%) and 1.5 (79%) years of the SGLE and SGLD, respectively. Among avoidable causes, injury-related deaths followed by ischaemic heart disease had the greatest contributions to both SGLE and SGLD. Across age groups, the age groups 55-59 and 60-64 accounted for the greatest contributions of avoidable causes to SGLE (0.3 years each), while age groups 20-24 and 55-59 had the greatest contributions to SGLD (0.15 years each). Lower mortality rates for females than males in age groups 50-74 years accounted for about half of the SGLE, while age groups 20-29 and 50-64 years accounted for around half of SGLD. CONCLUSION: More than two third of the SGLE and SGLD in Iran were attributed to the avoidable mortality, particularly preventable causes. Our results suggest the need for public health policies targeting injuries in young males as well as lifestyle risk factors including smoking in middle aged males in Iran.

Within-person change in patient-reported outcomes and their association with the wish to undergo joint surgery during a digital first-line intervention for osteoarthritis.

AIM: To study the association between within-person changes in patient-reported outcomes (PROMs) and wish for joint surgery during participation in a digital first-line intervention comprising exercise and education for knee/hip osteoarthritis (OA). METHODS: Retrospective observational registry study. Participants enrolled between June 1, 2018 and October 30, 2021, with follow-up data at three months (n = 13,961). We used asymmetric fixed effect (conditional) logistic regressions to study the association between change in wish to undergo surgery at last available time point (3, 6, 9, or 12 months) and improvement or worsening of PROMs pain (0-10), quality of life (QoL) (EQ5D-5L, 0.243-0.976), overall health (0-10), activity impairment (0-10), walking difficulties (yes/no), fear of movement (yes/no), and Knee/Hip injury and Osteoarthritis Outcome Score 12 Items (KOOS-12/HOOS-12, 0-100) function and QoL subscales. RESULTS: The proportion of participants wishing to undergo surgery declined by 2% (95% CI: 1.9, 3.0), from 15.7% at the baseline to 13.3% at 3 months. Generally, improvements in PROMs were associated with reduced likelihood of wishing for surgery, while worsening was associated with increased likelihood. For pain, activity impairment EQ-5D and KOOS/HOOS QoL, a worsening led to a change in the probability of wish for surgery of larger absolute magnitude than an improvement in the same PROM. CONCLUSIONS: Within-person improvements in PROMs are associated with reduced wish for surgery while worsenings with an increased wish for surgery. Larger improvements in PROMs may be needed to match the magnitude of the change in wish for surgery associated with a worsening in the same PROM.

Assessing the importance of predictors of adherence to a digital self­management intervention for osteoarthritis.

OBJECTIVE: Treatment adherence is suggested to be associated with greater improvement in patient outcomes. Despite the growing use of digital therapeutics in osteoarthritis management, there is limited evidence of person-level factors influencing adherence to these interventions in real-world settings. We aimed to determine the relative importance of factors influencing adherence to a digital self-management intervention for hip/knee osteoarthritis. METHODS: We obtained data from people participating in a digital OA treatment, known as Joint Academy, between January 2019 and September 2021. We collected data on the participants' adherence, defined as the percentage of completed activities (exercises, lessons, and quizzes), at 3 (n = 14,610)- and 12-month (n = 2682) follow-up. We used dominance and relative weight analyses to assess the relative importance of sociodemographic (age, sex, place of residence, education, year of enrolment), lifestyle (body mass index, physical activity), general health (comorbidity, overall health, activity impairment, anxiety/depression), and osteoarthritis-related (index joint, fear of moving, walking difficulties, pain, physical function, wish for surgery, Patient Acceptable Symptom State) factors, measured at baseline, in explaining variations in adherence. We used bootstrap (1000 replications) to compute 95% confidence intervals. RESULTS: Mean (SD) adherences at 3 and 12 months were 86.3% (16.1) and 84.1% (16.7), with 75.1% and 70.4% of participants reporting an adherence ≥ 80%, respectively. The predictors included in the study explained only 5.6% (95% CI 5.1, 6.6) and 8.1% (7.3, 11.6) of variations in 3- and 12-month adherences, respectively. Sociodemographic factors were the most important predictors explaining more variations than other factors altogether. Among single factors, age with a nonlinear relationship with adherence, was the most important predictor explaining 2.3% (95% CI 1.9, 2.8) and 3.7% (2.4, 5.3) of variations in 3- and 12-month adherences, respectively. CONCLUSION: Person-level factors could only modestly explain the variations in adherence with sociodemographic characteristics, mainly age, accounting for the greatest portion of this explained variance.

Does lower educational attainment increase the risk of osteoarthritis surgery? a Swedish twin study.

BACKGROUND: Previous studies have reported an inverse association between educational attainment and different osteoarthritis (OA) outcomes. However, none of the previous studies have accounted for potential confounding by early-life environment and genetics. Thus, we aimed to examine the association between educational attainment and knee and hip OA surgery using twin data. METHODS: From the Swedish Twin Registry (STR), we identified dizygotic (DZ) and monozygotic (MZ) twins. All twins in the STR aged 35 to 64 years were followed from January the 1st 1987 or the date they turned 35 years until OA surgery, relocation outside Sweden, death or the end of 2016 (18,784 DZ and 8,657 MZ complete twin pairs). Associations between educational attainment and knee and hip OA surgery were estimated in models matched on twin pairs, using Weibull within-between (WB) shared frailty model. RESULTS: For knee OA surgery, the analysis matched on MZ twins yielded a within-estimate hazard ratio (HR) per 3 years of education, of 1.06 (95% CI: 0.81, 1.32), suggesting no association between the outcome and the individual´s education. Rather, there seemed to be a so called familial effect of education, with a between-pair estimate of HR = 0.71 (95% CI: 0.41, 1.01). For hip OA surgery, the within- and between-pair estimates for MZ twins were 0.92 (95% CI: 0.69, 1.14) and 1.15 (95% CI: 0.87, 1.42), respectively. CONCLUSIONS: Our results suggest that the inverse associations between education and knee/hip OA surgery observed in cohort studies are potentially confounded by unobserved familial factors like genetics and/or early life exposures.

Digitally Delivered Exercise and Education Treatment Program for Low Back Pain: Longitudinal Observational Cohort Study.

BACKGROUND: Exercise and education is recommended as first-line treatment by evidence-based, international guidelines for low back pain (LBP). Despite consensus regarding the treatment, there is a gap between guidelines and what is offered to patients. Digital LBP treatments are an emerging way of delivering first-line treatment. OBJECTIVE: The aim of this study is to evaluate outcomes after participation in a 3-month digitally delivered treatment program for individuals with subacute or chronic LBP. METHODS: We analyzed data from 2593 consecutively recruited participants in a digitally delivered treatment program, available via the national health care system in Sweden. The program consists of video-instructed and progressive adaptable exercises, education through text lessons, and a chat and video function connecting participants with a personal physiotherapist. The primary outcome was mean change and proportion reaching a minimal clinically important change (MCIC) for LBP (2 points or 30% decrease) assessed with the numerical rating scale (average pain during the past week, discrete boxes, 0-10, best to worst). Secondary outcomes were mean change and proportion reaching MCIC (10 points or 30%) in disability, assessed with the Oswestry Disability Index (ODI; 0-100, best to worst) and a question on patient acceptable symptom state (PASS). RESULTS: The mean participant age was 63 years, 73.85% (1915/2593) were female, 54.72% (1419/2593) had higher education, 50.56% (1311/2593) were retired, and the mean BMI was 26.5 kg/m2. Participants completed on average 84% of the prescribed exercises and lessons, with an adherence of ≥80% in 69.26% (1796/2593) and ≥90% in 50.13% (1300/2593) of the participants. Mean reduction in pain from baseline to 3 months was 1.7 (95% CI -1.8 to -1.6), corresponding to a 35% relative change. MCIC was reached by 58.50% (1517/2593) of participants. ODI decreased 4 points (95% CI -4.5 to -3.7), and 36.48% (946/2593) reached an MCIC. A change from no to yes in PASS was seen in 30.35% (787/2593) of participants. Multivariable analysis showed positive associations between reaching an MCIC in pain and high baseline pain (odds ratio [OR] 1.9, 95% CI 1.6-2.1), adherence (OR 1.5, 95% CI 1.3-1.8), and motivation (OR 1.2, 95% CI 1.0-1.5), while we found negative associations for wish for surgery (OR 0.6, 95% CI 0.5-0.9) and pain in other joints (OR 0.9, 95% CI 0.7-0.9). We found no associations between sociodemographic characteristics and pain reduction. CONCLUSIONS: Participants in this digitally delivered treatment for LBP had reduced pain at 3-month follow-up, and 58.50% (1517/2593) reported an MCIC in pain. Our findings suggest that digital treatment programs can reduce pain at clinically important levels for people with high adherence to treatment but that those with such severe LBP problems that they wish to undergo surgery may benefit from additional support. TRIAL REGISTRATION: ClinicalTrials.gov NCT05226156; https://clinicaltrials.gov/ct2/show/NCT05226156.

Socioeconomic Inequalities in All-Cause and Cause-Specific Mortality Among Patients With Osteoarthritis in the Skåne Region of Sweden.

OBJECTIVE: To assess the association between education and all-cause and cause-specific mortality among patients with osteoarthritis (OA) in comparison to an OA-free reference cohort. METHODS: Using data from the Skåne Healthcare Register, we identified all residents age ≥45 years in the region of Skåne in southern Sweden with doctor-diagnosed OA of peripheral joints between 1998 and 2013 (n = 123,993). We created an age- and sex-matched reference cohort without OA diagnosis (n = 121,318). Subjects were followed until death, relocation outside Skåne, or the end of 2014. The relative index of inequality (RII) and the slope index of inequality (SII) were estimated by the Cox model and Aalen's additive hazard model, respectively. RESULTS: We found an inverse association between education and mortality. The magnitude of relative inequalities in all-cause mortality were comparable in the OA, with an RII of 1.53 (95% confidence interval [95% CI] 1.46, 1.61), and reference cohorts (RII 1.54 [95% CI 1.47, 1.62]). The absolute inequalities were smaller in the OA cohort (all-cause deaths per 100,000 person-years, SII 937 [95% CI 811, 1,063]) compared with the reference cohort (SII 1,265 [95% CI 1,109, 1,421]). Cardiovascular mortality contributed more to the absolute inequalities in the OA cohort than in the reference cohort (60.1% versus 48.1%) while the opposite was observed for cancer mortality (8.5% versus 22.3%). CONCLUSION: We found higher all-cause and cause-specific mortality in OA patients with lower education. The observed inequalities in the OA cohort reflect the inequalities in the population at large. The greater burden of cardiovascular diseases in OA patients suggests that proper management of cardiovascular risk factors in OA patients is important.

The contributions of public health policies and healthcare quality to gender gap and country differences in life expectancy in the UK.

BACKGROUND: In many high-income countries, life expectancy (LE) has increased, with women outliving men. This gender gap in LE (GGLE) has been explained with biological factors, healthy behaviours, health status, and sociodemographic characteristics, but little attention has been paid to the role of public health policies that include/affect these factors. This study aimed to assess the contributions of avoidable causes of death, as a measure of public health policies and healthcare quality impacts, to the GGLE and its temporal changes in the UK. We also estimated the contributions of avoidable causes of death into the gap in LE between countries in the UK. METHODS: We obtained annual data on underlying causes of death by age and sex from the World Health Organization mortality database for the periods 2001-2003 and 2014-2016. We calculated LE at birth using abridged life tables. We applied Arriaga's decomposition method to compute the age- and cause-specific contributions into the GGLE in each period and its changes between two periods as well as the cross-country gap in LE in the 2014-2016 period. RESULTS: Avoidable causes had greater contributions than non-avoidable causes to the GGLE in both periods (62% in 2001-2003 and 54% in 2014-2016) in the UK. Among avoidable causes, ischaemic heart disease (IHD) followed by injuries had the greatest contributions to the GGLE in both periods. On average, the GGLE across the UK narrowed by about 1.0 year between 2001-2003 and 2014-2016 and three avoidable causes of IHD, lung cancer, and injuries accounted for about 0.8 years of this reduction. England & Wales had the greatest LE for both sexes in 2014-2016. Among avoidable causes, injuries in men and lung cancer in women had the largest contributions to the LE advantage in England & Wales compared to Northern Ireland, while drug-related deaths compared to Scotland in both sexes. CONCLUSION: With avoidable causes, particularly preventable deaths, substantially contributing to the gender and cross-country gaps in LE, our results suggest the need for behavioural changes by implementing targeted public health programmes, particularly targeting younger men from Scotland and Northern Ireland.

Impact of a national guideline on use of knee arthroscopy: An interrupted time-series analysis.

OBJECTIVE: To assess the impact of the Swedish health authority recommendation against the use of knee arthroscopy in patients aged ≥40 years with knee osteoarthritis (OA). DESIGN: Interrupted time series analysis. SETTING: Public health care in Skåne region. PARTICIPANTS: Patients aged ≥40 years who underwent knee arthroscopy from January 2010 to December 2015. INTERVENTION(S): National guideline's recommendation against the use of knee arthroscopy in patients with knee OA. MAIN OUTCOME MEASURE(S): 1) proportion of patients aged ≥40 years with a main diagnosis of Knee OA and/or degenerative meniscal lesions (DML) who underwent knee arthroscopy, and 2) overall knee arthroscopy rate per 100,000 Skåne population aged ≥40 years. RESULTS: A total of 6,155 knee arthroscopy were performed among people aged ≥40 years during study period. Of 42,044 patients with Knee OA/DML, 3,728 had knee arthroscopy. The recommendation was associated with reductions in the use of knee arthroscopy and two years after the recommendation, there was a reduction of 28.6% (95% CI: 9.3, 47.8) and 34.7% (23.9, 45.4) in proportion of Knee OA/DML patients with knee arthroscopy and the overall knee arthroscopy rate, respectively, relative to that expected if pre-recommendation trend continued. Our sensitivity analysis showed that the use of total knee replacement was stable over the study period. CONCLUSION: The national recommendation was associated with reduction in use of knee arthroscopy in public health care in southern Sweden. However, still 4.5% of these patients underwent knee arthroscopy in 2015 implying that more efforts are required to achieve the recommended target.

Educational inequalities in all-cause and cause-specific mortality among people with gout: a register-based matched cohort study in southern Sweden.

BACKGROUND: Gout is the most common inflammatory arthritis with a rising prevalence around the globe. While educational inequalities in incidence and prevalence of gout have been reported, no previous study investigated educational inequality in mortality among people with gout. The aim of this study was to assess absolute and relative educational inequalities in all-cause and cause-specific mortality among people with gout in comparison with an age- and sex-matched cohort free of gout in southern Sweden. METHODS: We identified all residents aged ≥30 years of Skåne region with doctor-diagnosed gout (ICD-10 code M10, n = 24,877) during 1998-2013 and up to 4 randomly selected age- and sex-matched comparators free of gout (reference cohort, n = 99,504). These were followed until death, emigration, or end of 2014. We used additive hazards models and Cox regression adjusted for age, sex, marital status, and country of birth to estimate slope and relative indices of inequality (SII/RII). Three cause-of-death attribution approaches were considered for RII estimation: "underlying cause", "any mention", and "weighted multiple-cause". RESULTS: Gout patients with the lowest education had 1547 (95% CI: 1001, 2092) more deaths per 100,000 person-years compared with those with the highest education. These absolute inequalities were larger than in the reference population (1255, 95% CI: 1038, 1472). While the contribution of cardiovascular (cancer) mortality to these absolute inequalities was greater (smaller) in men with gout than those without, the opposite was seen among women. Relative inequality in all-cause mortality was smaller in gout (RII 1.29 [1.18, 1.41]) than in the reference population (1.46 [1.38, 1.53]). The weighted multiple-cause approach generally led to larger RIIs than the underlying cause approach. CONCLUSIONS: Our register-based matched cohort study showed that low level of education was associated with increased mortality among gout patients. Although the magnitude of relative inequality was smaller in people with gout compared with those without, the absolute inequalities were greater reflecting a major mortality burden among those with lower education.