An Update on Arthritis in Canada - National and Provincial Data Regarding the Past, Present, and Future

Association of Sleep Quality and General, Mental, and Oral Health with Lifestyle Traits (Dietary Intake, Smoking Status) in Arthritis: A Cross-Sectional Study from the Canadian Community Health Survey (CCHS)

Arthritis is associated with health challenges. Lifestyle traits are believed to influence arthritis development and progression; however, data to support personalized treatment regimens based on holistic lifestyle factors are missing. This study aims to provide a comprehensive list of associations between lifestyle traits and the health status of individuals with arthritis in the Canadian population, using binary logistic regression analysis on data from the Canadian Community Health Survey, which includes 104,359 respondents. Firstly, we explored the association between arthritis and various aspects of health status including self-reported lifestyle factors. Secondly, we examined the associations between self-reported dietary intake and smoking status with general, mental, and oral health, and sleep disturbance among individuals both with and without arthritis. Our analysis revealed that individuals with arthritis reported considerably poorer general, mental, and oral health, and poorer sleep quality compared to those without arthritis. Associations were also found between self-reported dietary intake and various measures of health status in individuals with arthritis. Smoking and exposure to passive smoking were associated not only with arthritis but also with compromised sleep quality and poorer general, mental, and oral health in people with and without arthritis. This study highlights the need for personalized and holistic approaches that may include a combination of dietary interventions, oral health improvements, sleep therapies, and smoking cessation for improved arthritis prevention and care.

Development and evaluation of shared decision-making tools in rheumatology: A scoping review

INTRODUCTION

Shared decision-making (SDM) tools are facilitators of decision-making through a collaborative process between patients/caregivers and clinicians. These tools help clinicians understand patient's perspectives and help patients in making informed decisions based on their preferences. Despite their usefulness for both patients and clinicians, SDM tools are not widely implemented in everyday practice. One barrier is the lack of clarity on the development and evaluation processes of these tools. Such processes have not been previously described in the field of rheumatology.

OBJECTIVE

To describe the development and evaluation processes of shared decision-making (SDM) tools used in rheumatology.

METHODS

Bibliographic databases (e.g., EMBASE and CINAHL) were searched for relevant articles. Guidelines for the PRISMA extension for scoping reviews were followed. Studies included were: addressing SDM among adults in rheumatology, focusing on development and/or evaluation of SDM tool, full texts, empirical research, and in the English language.

RESULTS

Of the 2030 records screened, forty-six reports addressing 36 SDM tools were included. Development basis and evaluation measures varied across the studies. The most commonly reported development basis was the International Patient Decision Aids Standards (IPDAS) criteria (19/36, 53 %). Other developmental foundations reported were: The Ottawa Decision Support Framework (ODSF) (6/36, 16 %), Informed Medical Decision Foundation elements (3/36, 8 %), edutainment principles (2/36, 5.5 %), and others (e.g. DISCERN and MARKOV Model) (9/31,29 %). The most commonly used evaluation measures were the Decisional Conflict Scale (18/46, 39 %), acceptability and knowledge (7/46, 15 %), and the preparation for decision-making scale (5/46,11 %).

CONCLUSION

For better quality and wider implementation of such tools, there is a need for detailed, transparent, systematic, and consistent reporting of development methods and evaluation measures. Using established checklists for reporting development and evaluation is encouraged.

The role of mitochondrial reactive oxygen species in chondrocyte mechanotransduction

Chondrocytes are mechanosensitive cells able to sense and respond to external mechanical stimuli through the process of mechanotransduction. Previous studies have demonstrated that mechanical stimulation causes mitochondrial deformation leading to mitochondrial reactive oxygen species (ROS) release in a dose-dependent manner. For this reason, we focused on elucidating the role of mitochondrial ROS as anabolic signaling molecules in chondrocyte mechanotransduction. Chondrocyte-seeded agarose gels were subjected to mechanical stimuli and the effect on matrix synthesis, ROS production, and mitogen-activated protein kinases (MAPK) signaling was evaluated. Through the use of ROS-specific staining, superoxide anion was the primary ROS released in response to mechanical stimuli. The anabolic effect of mechanical stimulation was abolished in the presence of electron transport chain inhibitors (complexes I, III, and V) and superoxide anion scavengers. Subsequent studies were centered on the involvement of MAPK pathways (ERK1/2, p38, and JNK) in the mechanotransduction cascade. While disruption of the ERK1/2 pathway had no apparent effect, the anabolic effect of mechanical stimulation was abolished in the presence of p38 and JNK pathway inhibitors. This suggest the involvement of apoptosis stimulating kinase 1 (ASK1), an upstream redox-sensitive MAP3K shared by both the JNK and p38 pathways. Future experiments will focus on the involvement of the thioredoxin-ASK1 complex which disassociates in the presence of oxidative stress, allowing ASK1 to phosphorylate several MAP2Ks. Overall, these findings indicate superoxide anion as the primary ROS released in response to mechanical stimuli and that the resulting anabolic effect on chondrogenic matrix biosynthesis arises from the ROS-dependent activation of the p38 and JNK MAPKs.

Biological Sex Inequality in Rheumatology Wait Times During the COVID-19 Pandemic

OBJECTIVE

To examine the effect of biological sex on wait times to first rheumatology appointment in a central triage system before and during the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

Deidentified data of all referred patients between November 2019 and June 2022 were extracted from the electronic medical record. Variables, including time from referral to first appointment, biological sex, referral period, urgency status, age, and geographic location were collected and analyzed.

RESULTS

Twelve thousand eight hundred seventeen referrals were identified. Wait times increased by 24.23 days in the peri-COVID period (P < 0.001). In the pre-COVID period, there was no significant difference in wait times by biological sex or age. Triage urgency was a predictor of wait time, with semiurgent referrals seen 8.94 days (95% CI -15.90 to -1.99) sooner than routine referrals and urgent referrals seen 25.42 days (95% CI -50.36 to -0.47) sooner than routine referrals. In the peri-COVID period, there was a significant difference in wait time by biological sex with women waiting on average 10.03 days (95% CI 6.98-13.09) longer than men (P < 0.001). Older patients had shorter wait times than younger patients, with a difference of -4.64 days for every 10-year increase in age (95% CI -5.49 to -3.78). Triage urgency continued to be a predictor of wait time.

CONCLUSION

Women and younger patients appear to have been affected by wait time increases during the COVID-19 pandemic. This finding should be further investigated to determine its pervasiveness across other specialities and to better understand the underlying cause of this finding.

Depressive symptom trajectories and new-onset arthritis in a middle-aged and elderly Chinese population

OBJECTIVE

Previous studies reported that depression was associated with a high risk of arthritis. However, the effect of different long-term depressive symptom trajectory patterns on the risk of arthritis has not been evaluated. Our study aimed to explore the association between depressive symptom trajectories and the risk of arthritis.

METHODS

A total of 5583 participants from the China Health and Retirement Longitudinal Study from 2011 to 2018 were included in this analysis. Group-based trajectory modeling was used to identify depressive symptom trajectories, and a multivariable competitive Cox regression model was used to examine the association of depressive symptom trajectories with arthritis during follow-up.

RESULTS

Five depressive symptom trajectories were identified in our research: stable-high, decreasing, increasing, stable-moderate and stable-low. Compared with participants in the stable-low trajectory group, those in the stable-moderate, increasing, decreasing and stable-high trajectory groups had a higher cumulative risk of arthritis, with HRs (95% CIs) for arthritis of 1.64 (1.30, 2.07), 1.86 (1.30, 2.66), 1.99 (1.41, 2.80) and 2.19 (1.38, 3.48), respectively. Participants with the stable-high symptoms trajectory had the highest cumulative risk of arthritis. There was still a high risk of arthritis, although the depression state was reduced and remained at a level that is generally considered reasonable.

CONCLUSIONS

The higher depressive symptoms trajectories were significantly associated with the increased risk of arthritis, and the long-term depressive symptoms trajectories may be a strong predictor of having arthritis.

Improving access to care for rheumatology services in Canada

Rheumatic diseases are becoming increasingly prevalent in Canada, and its associated strain on the healthcare system is expected to increase over the next decades. Furthermore, there is an increasing body of evidence to suggest that access to rheumatology care is currently not meeting established quality of care benchmarks. To frame issues affecting access to care for rheumatology services in Canada, a proposed chronological framework from a rheumatology patient's perspective is proposed. Illustrating principles from a health policy lens including drawing from the stages heuristic framework and multiple streams theory, issues surrounding access to rheumatology assessment, to rheumatological investigations and lastly to appropriate treatment are explored. In particular, the current supply and demand mismatch within the rheumatology workforce presents challenges for patients in accessing rheumatic diseases providers. Potential policy solutions including increasing the pool of rheumatic diseases care providers, enhancing the clinical capacity with extended role providers and increasing uptake of virtual care are discussed. To ameliorate access to rheumatology investigations, the concept of provider education surrounding the appropriateness of investigations and merit-based funding are explored. Lastly, access to rheumatological treatment is framed using biologic therapies as an example, highlighting the policy challenges in biosimilar uptake and associated ethical and political considerations. By using a health policy lens to explore deficiencies within Canada's current system, the overarching goal of this analysis is to set the stage for reasoned and timely solutions in the future.

Distinct care trajectories among persons living with arthritic conditions: A two-year state sequence analysis

OBJECTIVES

Developing solutions to optimize care trajectories (CareTs) requires examining patient journeys through the health care system. This study aimed to describe CareTs among people living with arthritis and evaluate their association with self-reported health outcomes.

METHODS

Analyses were conducted using the TorSaDE Cohort (n = 102,148), which connects the 2007 to 2016 Canadian Community Health Surveys (CCHS) with Quebec administrative databases (longitudinal claims). CareTs of participants living with arthritis according to CCHS (n = 16,631), over the two years before CCHS completion, were clustered using state sequence analysis (months as a time unit). CareT group membership was then put in association with self-reported outcomes (pain intensity and interference, self-perceived general and mental health).

RESULTS

The analysis revealed five CareT groups characterized predominantly by: (1) arthritis-related visits to a specialist (n = 2,756; 16.6%), (2) arthritis-related emergency department visits (n = 2,928; 17.6%), (3) very high all-cause health care utilization and arthritis-related hospitalizations (n = 1,570; 9.4%), (4) arthritis-related medical visits to general practitioners and specialists (n = 2,708; 16.3%), (5) low all-cause health care utilization (n = 6,669; 40.1%). Multivariable results revealed that CareT group membership was associated with higher levels of pain interference (CareT group #3 vs. #5: OR: 1.4, 95%CI: 1.1-1.8) and fair/poor self-perceived general health (CareT group #1 vs. #5: OR: 1.551, 95%CI: 1.319-1.824; #2 vs. #5: OR: 1.244, 95%CI: 1.062-1.457; #3 vs. #5: OR: 1.771, 95%CI: 1.451-2.162; #4 vs. #5: OR: 1.481, 95%CI: 1.265-1.735).

DISCUSSION

Sate sequence analysis is an innovative method of studying CareTs and valuable for making evidence-based decisions taking into account inter- and intra-individual variability.

I don’t know what type of arthritis I have: A population-based comparison of people with arthritis who knew their specific type and those who didn’t

Objective

To understand differences between people with arthritis who do not know their type (DK) compared to those reporting osteoarthritis (OA) or inflammatory and autoimmune types of arthritis (IAA), including the receipt of appropriate health care, information, and services.

Methods

Analysis of the Survey on Living with Chronic Disease in Canada–Arthritis Component. Respondents aged ≥20 years with health professional-diagnosed arthritis (n = 4,385) were characterized as reporting DK, OA or IAA. Variables: arthritis characteristics (duration, number and site of joints affected), arthritis impact (current pain and fatigue, difficulty in sleeping and daily activities, impact on life), health (self-rated general and mental health, life stress), arthritis management strategies (seeing health professionals, medication use, assistive devices, receipt of arthritis information, self-management activities). Multinomial logistic and log-Poisson regressions were used, as appropriate, to compare the DK to the OA and IAA groups.

Results

In this arthritis sample, 44.2% were in the DK group, 38.3% reported OA and 17.5% reported IAA. Those in the DK group were more likely to be younger, have low income, low education, and be of non-white cultural background compared to those with OA. There were no significant differences in arthritis impact, but the DK group was less likely to have received information on, or have used, arthritis management strategies.

Conclusions

The sociodemographic characteristics of the DK group suggest they likely have lower health literacy. They were less likely to have accessed health care and other support services, indicating this is an important group for health education, both for individuals with arthritis and health care providers.

Healthcare utilization and costs for musculoskeletal disorders in Ontario, Canada

OBJECTIVE

To examine the magnitude and costs of ambulatory primary and specialist physician care and hospital service use for musculoskeletal disorders (MSDs) in Canada's largest province, Ontario.

METHODS

Administrative health databases were analyzed for fiscal year 2013-2014 for adults 18+ years, including data on physician services, emergency department (ED) visits and hospitalizations. ICD diagnostic codes were used to identify MSD services. A validated algorithm was used to estimate direct medical costs. Person visit rates and numbers of persons and visits were tabulated by care setting, age and sex, and physician specialty. Data were examined for all MSDs combined as well as specific diagnostic groupings.

RESULTS

Overall, 3.1 million adult Ontarians (28.5%) made 8 million outpatient physician visits associated with MSDs. These included 5.6 million primary care visits. MSDs accounted for 560,000, 12.3%, of all adult ED visits. Total costs for MSD-related care were $1.6 billion, with 12.6% of costs attributed to primary care, 9.2% to specialist care, 8.6% to ED care, 8.5% to day surgery and 61.2% of total costs associated with inpatient hospitalizations. Costs due to arthritis accounted for 40% of total MSD care costs ($639 million). MSD-related imaging costs were $169 million. Including these costs yields a total estimate of $1.8 billion for all MSDs combined.

CONCLUSION

MSDs place a significant and costly burden on the health care system. Health system planning needs to consider the large and escalating demand for care to reduce both the individual and population burden.

Associations between physical health conditions and posttraumatic stress disorder according to age

OBJECTIVES

Posttraumatic stress disorder (PTSD) is associated with various physical health conditions. However, it is unclear whether the relationship between PTSD and physical health conditions differs according to age. This study aims to examine the associations between PTSD and physical health conditions across four adult age categories.

METHODS

We analyzed data from the 2012 to 2013 National Epidemiologic Survey on Alcohol and Related Conditions (N = 36,309). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 assessed past-year DSM-5 PTSD. Multiple regression analyses examined associations between PTSD (reference = no PTSD) with number and type of physical health conditions in each age category (18-34: "younger adults," 35-49: "middle-aged adults," 50-64: "young-old adults," 65+: "older adults").

RESULTS

The prevalence of nearly all physical health conditions increased according to age, whereas the prevalence of PTSD tended to decrease with age. After adjustment, PTSD was associated with a greater number of physical health conditions among all age categories (b range: 0.62-1.29). Regardless of age category, PTSD was associated with increased odds of cardiovascular and musculoskeletal conditions (AOR range: 1.54-2.34). PTSD was also associated with increased odds of gastrointestinal, hepatobiliary, endocrine/metabolic, respiratory, neurologic conditions, cancer, sleep disorders, and anemia among select age categories (AOR range: 1.70-3.31). For most physical health conditions, the largest effect sizes emerged for younger and middle-aged adults.

CONCLUSIONS

PTSD is associated with many physical health conditions across the age spectrum, particularly among younger and middle-aged adults. Results may inform targeted screening and intervention strategies to mitigate risk of physical health conditions among adults with PTSD.

Risk Factor Profiles for Individuals With Diagnosed OA and With Symptoms Indicative of OA: Findings From the Canadian Longitudinal Study on Aging

OBJECTIVE

The vast majority of published estimates of osteoarthritis (OA) burden are based on an OA diagnosis. These data are limited, as individuals often do not visit a physician until their symptoms are moderate to severe. This study compared individuals with an OA diagnosis to those with OA joint symptoms but without a diagnosis considering a number of sociodemographic and health characteristics. A further distinction was made between individuals with symptoms in one joint site and those with symptoms in multiple joint sites.

METHODS

Data are from 23 186 respondents aged 45 to 85 years from the first cycle of the Canadian Longitudinal Study on Aging. A multinomial logistic regression model examined the relationship between sociodemographic- and health-related characteristics and OA status (diagnosed OA, joint symptoms without OA, no OA or joint symptoms). In addition, logistic regression models assessed the relationship between OA status and usually experiencing pain and having some degree of functional limitation.

RESULTS

Twenty-one percent of respondents reported a diagnosis of OA, and 25% reported symptoms typical of OA but without an OA diagnosis. Other than being slightly younger, the characteristic profile of individuals with symptoms in two or more joint sites was indistinguishable from that of those with diagnosed OA.

CONCLUSION

It may be warranted to consider OA-like multiple joint symptoms when deriving estimates of OA-attributed population health and cost burden.