Factors Associated With Quality Care Among Adults With Rheumatoid Arthritis.

Importance: Although quality care markers exist for patients with rheumatoid arthritis (RA), the predictors of meeting these markers are unclear. Objective: To explore factors associated with quality care among patients with RA. Design, Setting, and Participants: A retrospective cohort study using insurance claims from 2009 to 2017 was conducted, and 6 sequential logistic regression models were built to evaluate quality care markers. Quality care markers were measured at 1 year post-RA diagnosis for each patient. The MarketScan Research Database, which contains commercial and Medicare Advantage administrative claims data from more than 100 million individuals in the US, was used to identify patients aged 18 to 64 years with a diagnosis claim for RA. Patients with conditions presenting similar to RA and missing demographic characteristics were excluded. Data analysis occurred between February 18 and May 5, 2022. Exposures: Success or failure to meet selected RA quality care markers within 1 year after RA diagnosis. Main Outcomes and Measures: Prevalence of meeting successive quality care markers for RA. Results: Among 581 770 patients, 430 843 (74.1%) were women and the mean (SD) age was 48.9 (11.3) years. Most patients (236 285 [40.6%]) resided in the South and had an income less than or equal to $45 200 (490 366 [84.3%]). Of the total study population, 399 862 individuals (68.7%) met at least 1 quality care marker and 181 908 (31.3%) met 0 markers. Most commonly, patients met annual laboratory testing (299 323 [51.5%]) and referral to a rheumatologist (256 765 [44.1%]) markers. The least met marker was receiving hepatitis B screening prior to initiation of disease-modifying antirheumatic drug (DMARD) therapy (18 548 [3.2%]). Women were most likely to meet all quality care markers except receiving DMARDs with hepatitis B screening (odds ratio, 1.14; 95% CI, 1.12-1.16). Individuals with lower median household income had lower odds of receiving a rheumatologist referral, an annual physical examination, or annual laboratory testing, but greater odds of receiving the other quality care markers. Patients with Medicare and those with comorbidities were generally less likely to meet quality care markers. Conclusions and Relevance: In this cohort study of patients with RA, findings indicated downstream associations with rheumatologist referral and receiving DMARDs and varied associations between meeting quality care markers and patient characteristics. These findings suggest that prioritizing early care, especially for vulnerable patients, will ensure that quality care continues.

Ultrasound Can Be Usefully Integrated with the Clinical Assessment of Nail and Enthesis Involvement in Psoriasis and Psoriatic Arthritis.

Objectives: This study aimed to examine and compare the findings of nail and enthesis ultrasonography in patients with psoriasis and psoriatic arthritis. Methods: We identified 154 patients with psoriatic arthritis and 35 patients with psoriasis who were treated at Chang Gung Memorial Hospital, Taiwan, between September 2018 and January 2019. Results: There were significant differences in the Nail Psoriasis Severity Index scores and Glasgow Ultrasound Enthesitis Scoring System scores between patients with psoriasis and those with psoriatic arthritis. B-mode ultrasonography revealed that onychopathic changes were more common in the psoriasis group. The psoriatic arthritis group showed a higher proportion of lower-limb enthesopathy, with significant differences in distal patellar ligament thickness and Achilles tendon thickness. Conclusion: The findings of nail ultrasonography were more severe in psoriasis cases, and the ultrasonographic findings of enthesopathy of the lower limb were more severe in cases of psoriatic arthritis.

The Application of Artificial-Intelligence-Assisted Dental Age Assessment in Children with Growth Delay.

BACKGROUND: This study aimed to reveal the efficacy of the artificial intelligence (AI)-assisted dental age (DA) assessment in identifying the characteristics of growth delay (GD) in children. METHODS: The panoramic films matching the inclusion criteria were collected for the AI model training to establish the population-based DA standard. Subsequently, the DA of the validation dataset of the healthy children and the images of the GD children were assessed by both the conventional methods and the AI-assisted standards. The efficacy of all the studied modalities was compared by the paired sample t-test. RESULTS: The AI-assisted standards can provide much more accurate chronological age (CA) predictions with mean errors of less than 0.05 years, while the traditional methods presented overestimated results in both genders. For the GD children, the convolutional neural network (CNN) revealed the delayed DA in GD children of both genders, while the machine learning models presented so only in the GD boys. CONCLUSION: The AI-assisted DA assessments help overcome the long-standing populational limitation observed in traditional methods. The image feature extraction of the CNN models provided the best efficacy to reveal the nature of delayed DA in GD children of both genders.

End-to-end interstitial fibrosis assessment of kidney biopsies with a machine learning-based model.

BACKGROUND: The extent of interstitial fibrosis in the kidney not only correlates with renal function at the time of biopsy but also predicts future renal outcome. However, its assessment by pathologists lacks good agreement. The aim of this study is to construct a machine learning-based model that enables automatic and reliable assessment of interstitial fibrosis in human kidney biopsies. METHODS: Validated cortex, glomerulus and tubule segmentation algorithms were incorporated into a single model to assess the extent of interstitial fibrosis. The model performances were compared with expert renal pathologists and correlated with patients' renal functional data. RESULTS: Compared with human raters, the model had the best agreement [intraclass correlation coefficient (ICC) 0.90] to the reference in 50 test cases. The model also had a low mean bias and the narrowest 95% limits of agreement. The model was robust against colour variation on images obtained at different times, through different scanners, or from outside institutions with excellent ICCs of 0.92-0.97. The model showed significantly better test-retest reliability (ICC 0.98) than humans (ICC 0.76-0.94) and the amount of interstitial fibrosis inferred by the model strongly correlated with 405 patients' serum creatinine (r = 0.65-0.67) and estimated glomerular filtration rate (r = -0.74 to -0.76). CONCLUSIONS: This study demonstrated that a trained machine learning-based model can faithfully simulate the whole process of interstitial fibrosis assessment, which traditionally can only be carried out by renal pathologists. Our data suggested that such a model may provide more reliable results, thus enabling precision medicine.

Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.

Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool performance is evaluated on 5164 and 18175 patients with pelvis/lumbar spine radiographs and Hologic DXA. The model is well calibrated with minimal bias in the hip (slope = 0.982, calibration-in-the-large = -0.003) and the lumbar spine BMD (slope = 0.978, calibration-in-the-large = 0.003). The area under the precision-recall curve and accuracy are 0.89 and 91.7% for hip osteoporosis, 0.89 and 86.2% for spine osteoporosis, 0.83 and 95.0% for high 10-year major fracture risk, and 0.96 and 90.0% for high hip fracture risk. The tool classifies 5206 (84.8%) patients with 95% positive or negative predictive value for osteoporosis, compared to 3008 DXA conducted at the same study period. This automated tool may help identify high-risk patients for osteoporosis.

Comparison of Safety and Insurance Payments for Minor Hand Procedures Across Operative Settings.

Importance: Surgical procedures can be performed in different settings, but the association between the operative setting and patient safety and cost to the patient and payer is unknown. Objective: To examine differences in complications, total payments, and out-of-pocket (OOP) spending for minor hand surgical procedures performed in office, ambulatory surgery center (ASC), and hospital outpatient department (HOPD) operative settings. Design, Setting, and Participants: A retrospective, population-based cohort study was conducted using deidentified claims data from private employer-sponsored health insurance from January 1, 2009, to December 31, 2017. Patients aged 18 years or older undergoing carpal tunnel release, trigger finger release, excision of wrist ganglion, and excision of small hand masses (N = 468 365) were included. Exposures: Operative setting, defined as procedures performed in the clinic setting, ASC, and HOPD. Main Outcomes and Measures: Complications during the 90-day postoperative period, total payments (total facility and payer reimbursement), and OOP spending. Results: Of the 468 365 patients, 296 378 women (63.3%) and 171 987 men (36.7%) underwent minor hand surgical procedures from 2009 to 2017, with 284 889 procedures (60.8%) performed in HOPDs, 158 659 procedures (33.9%) performed in ASCs, and 24 817 procedures (5.3%) performed in the office setting. Ninety-day complications occurred in 3.4% of procedures performed in HOPDs, 3.3% in ASCs, and 2.9% in office settings (P < .001). After controlling for patient characteristics, procedures performed outside of the office had higher odds of complications (HOPDs: odds ratio [OR], 1.32; 95% CI, 1.22-1.43; ASCs: OR, 1.24; 95% CI, 1.14-1.34). Compared with the office setting, procedures performed in HOPDs incurred an extra $1216 in total payments (95% CI, $1184-$1248) and $115 in OOP expenses (95% CI, $109-$121). Procedures performed in ASCs cost an additional $709 (95% CI, $676-$741) and $140 in OOP expenses (95% CI, $134-$146). Transitioning ASC and HOPD procedures to the office setting could have saved an estimated $6 million annually in OOP expenses during the study period. Conclusions and Relevance: The findings of this study suggest that minor hand surgery performed in the office setting is safe and less costly compared with ambulatory and hospital-based operations. Shifting minor surgical procedures to the office setting may lead to substantial cost savings for payers and patients without compromising care quality.

The Increasing Financial Burden of Outpatient Elective Surgery for the Privately Insured.

OBJECTIVE: To examine temporal trends of OOP expenses, total payments, facility fees, and professional fees for outpatient surgery. SUMMARY BACKGROUND DATA: Approximately 48 million outpatient surgeries are performed annually with a limited financial understanding of these procedures. High OOP expenses may influence treatment decisions, delay care, and cause financial burden for patients. METHODS: We conducted a retrospective cohort study of patients with employer-sponsored insurance undergoing common outpatient surgical procedures (cholecystectomy, cataract surgery, meniscectomy, muscle/tendon procedures, and joint procedures) from 2011 to 2017. Total payments for surgical encounters paid by the insurer/employer and patient OOP expenses were calculated. We used multivariable linear regression to predict total payments and OOP expenses, with costs adjusted to the 2017 US dollar. RESULTS: We evaluated 5,261,295 outpatient surgeries (2011-2017). Total payments increased by 29%, with a 53% increase in facility fees and no change in professional fees. OOP expenses grew by 50%. After controlling for procedure type, procedures performed in ambulatory surgery centers conferred an additional $2019 in predicted total payments (95%CI:$2002-$2036) and $324 in OOP expenses (95%CI:$319-$328) compared to predicted cost for office-based procedures. Hospital-based procedures cost an additional $2649 in predicted total payments (95%CI:$2632-$2667) and $302 in predicted OOP expenses (95%CI:$297-$306) compared to office procedures. CONCLUSION: Increases in outpatient surgery total payments were driven primarily by facility fees and OOP expenses. OOP expenses are rising faster than total payments, highlighting the transition of costs to patients. Healthcare cost reduction policies should consider the largest areas of spending growth such as facility fees and OOP expenses to minimize the financial burden placed on patients.

Investigating the causal effect of socioeconomic status on quality of care under a universal health insurance system - a marginal structural model approach.

BACKGROUND: Social disparities in healthcare persist in the US despite the expansion of Medicaid under the Affordable Care Act. We investigated the causal impact of socioeconomic status on the quality of care in a setting with minimal confounding bias from race, insurance type, and access to care. METHODS: We designed a retrospective population-based study with a random 25% sample of adult Taiwan population enrolled in Taiwan's National Health Insurance system from 2000 to 2016. Patient's income levels were categorized into low-income group (<25th percentile) and high-income group (≥25th percentile). We used marginal structural modeling analysis to calculate the odds of hospital admissions for 11 ambulatory care sensitive conditions identified by the Agency for Healthcare Research and Quality and the odds of having an Elixhauser comorbidity index greater than zero for low-income patients. RESULTS: Among 2,844,334 patients, those in lower-income group had 1.28 greater odds (95% CI 1.24-1.33) of experiencing preventable hospitalizations, and 1.04 greater odds (95% CI 1.03-1.05) of having a comorbid condition in comparison to high-income group. CONCLUSIONS: Income was shown to be a causal factor in a patient's health and a determinant of the quality of care received even with equitable access to care under a universal health insurance system. Policies focusing on addressing income as an important upstream causal determinant of health to provide support to patients in lower socioeconomic status will be effective in improving health outcomes for this vulnerable social stratum.

Epidemiology and survival outcome of breast cancer in a nationwide study.

Breast cancer is among the most prevalent cancers in Taiwan. The National Health Insurance database was used to identify patients with breast cancer and estimate the yearly prevalence and incidence of breast cancer between 1997 and 2013. Joinpoint regression analysis was used for the annual percentage change of incidence, prevalence, and survival outcome. Among 12,181,919 female beneficiaries in 2013, the prevalence was 834.37 per 100,000 persons (95% confidence interval, 829.28-839.45) and the incidence was 93.00 per 100,000 person-year (95% confidence interval, 91.27-94.73). The average annual percentage change of the age-standardized breast cancer incidence was 3.5 per 100,000 person-years (3.1-3.8; P < 0.05), suggesting an increase in breast cancer incidence over the study period. The 5-year mortality rate was 4.5% in 1997 and 4.4% in 2008. The 5-year mortality rate among patients with Charlson comorbidity index > 1 was 39.1% (19.2%-59.1%) in 1997 and 21.1% (15.7%-32.0%) in 2008, with an annual percentage change of -0.8 (-1.3 to 2.9), suggesting that the mortality rate was gradually decreasing in patients with comorbidities. In conclusion, 1 in 120 women in Taiwan has breast cancer and the incidence is rising, while the annual percentage change of breast cancer prevalence is decreasing. The mortality rate of breast cancer was essentially stable, but the 1-year, 2-year, and 5-year mortality rates in people with Charlson comorbidity index > 1 were declined.

Epidemiology and management of gout in Taiwan: a nationwide population study.

INTRODUCTION: Gout is the most common inflammatory arthritis worldwide and is the only type of chronic arthritis that potentially can be 'cured'. However, data on gout incidence, prevalence and management, assessed at multiple time points in the same population, are sparse, particularly in Asian populations. The aim of this study was to describe trends in the epidemiology of gout in the general population of Taiwan. METHODS: The National Health Insurance Research Database was used to identify patients with gout and to estimate the prevalence and incidence of gout for each calendar year from 2005 to 2010. The pattern of gout management was also examined. RESULTS: Of 23,371,362 beneficiaries in 2010, there were 1,458,569 prevalent and 56,595 incident cases of gout, giving a prevalence of 6.24% (95% confidence interval (CI), 6.23% to 6.25%) and an incidence of 2.74 (95% CI, 2.72 to 2.76) per 1,000 person-years. The annual percentage change (APC) of the standardised prevalence was -0.7% (95% CI, -1.7% to 0.3%; P=0.14), suggesting that the prevalence of gout was essentially the same throughout the study period. However, The APC of incidence was -13.4 (95% CI, -16.1 to -10.6) between 2005 and 2007 and -2.1 (95% CI, -10.4 to 7.1) between 2007 and 2010. Regions with the highest prevalence and incidence were eastern coastal counties and offshore islets, where indigenous people are clustered. Among prevalent gout cases in 2010, only 22.93% (95% CI, 22.87% to 23.00%) were prescribed urate-lowering treatment (ULT), which remained unchanged between 2005 and 2010 at an APC of 0.0 (95% CI, -3.8 to 4.0). Uricosuric agents were more commonly prescribed than xanthine oxidase inhibitors in Taiwan. CONCLUSIONS: In Taiwan, 1 in 16 people have gout. Whereas the incidence has decreased recently, the prevalence remains unchanged. Management of gout in Taiwan is poor, with only one in five affected people being treated with ULT.