The NPS is an initial step in recognizing the prevalence and description of pain in PWH. HTC providers should educate themselves in pain management techniques to better serve this population. Further research is necessary to develop specific pain management guidelines for the bleeding disorders population that include multimodal holistic treatment plans.

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IMPORTANCE Despite advances in cancer treatment and cancer-related outcomes, disparities in cancer mortality remain. Lower rates of cancer prevention screening and consequent delays in diagnosis may exacerbate these disparities. Better understanding of the association between arealevel social determinants of health and cancer screening may be helpful to increase screening rates. OBJECTIVE To examine the association between area deprivation, rurality, and screening for breast, cervical, and colorectal cancer in patients from an integrated health care delivery system in 3 US Midwest states (Minnesota, Iowa, and Wisconsin). DESIGN, SETTING, AND PARTICIPANTS In this cross-sectional study of adults receiving primary care at 75 primary care practices in Minnesota, Iowa, and Wisconsin, rates of recommended breast, cervical, and colorectal cancer screening completion were ascertained using electronic health records between July 1, 2016, and June 30, 2017. The area deprivation index (ADI) is a composite measure of social determinants of health composed of 17 US Census indicators and was calculated for all census block groups in Minnesota, Iowa, and Wisconsin (11 230 census block groups). Rurality was defined at the zip code level. Using multivariable logistic regression, this study examined the association between the ADI, rurality, and completion of cancer screening after adjusting for age, Charlson Comorbidity Index, race, and sex (for colorectal cancer only). MAIN OUTCOMES AND MEASURES Completion of recommended breast, cervical, and colorectal cancer screening. RESULTS The study cohorts were composed of 78 302 patients eligible for breast cancer screening (mean [SD] age, 61.8 [7.1] years), 126 731 patients eligible for cervical cancer screening (mean [SD] age, 42.6 [13.2] years), and 145 550 patients eligible for colorectal cancer screening (mean [SD] age, 62.4 [7.0] years; 52.9% [77 048 of 145 550] female). The odds of completing recommended screening were decreased for individuals living in the most deprived (highest ADI) census block group quintile compared with the least deprived (lowest ADI) quintile: the odds ratios were 0.51 (95% CI, 0.46-0.57) for breast cancer, 0.58 (95% CI, 0.54-0.62) for cervical cancer, and 0.57 (95% CI, 0.53-0.61) for colorectal cancer. Individuals living in rural areas compared with urban areas also had lower rates of cancer screening: the odds ratios were 0.76 (95% CI, 0.72-0.79) for breast cancer, 0.81 (95% CI, 0.79-0.83) for cervical cancer, and 0.93 (95% CI, 0.91-0.96) for colorectal cancer. CONCLUSIONS AND RELEVANCE Individuals living in areas of greater deprivation and rurality had lower rates of recommended cancer screening, signaling the need for effective intervention strategies that may include improved community partnerships and patient engagement to enhance access to screening in highest-risk populations.

A descriptive survey was conducted in Region V-E of the United States to bridge the gap in available information on pain issues in the bleeding disorders population. The aim of this study was to a) determine language used by patients to describe and differentiate acute and persistent pain, b) describe pharmacological and non-pharmacological strategies utilized to control pain, c) determine the providers of pain management to this population and d) evaluate quality of life incorporating the SF-36 QOL tool. A total of 202 surveys were returned. For the purposes of this paper, it was decided to analyse only haemophilia data (n = 114). Average persistent daily pain levels were 5/10 (P < 0.001). The three most common word descriptors for both acute and persistent pain were the same - achy, throbbing and tender; the most utilized pain medications were NSAIDs and acetaminophen. Factor replacement was used for what respondents described as acute pain management 79% of the time and for persistent pain management 38% of the time. Participants described acute and persistent pain with the same pain descriptors leading to the conclusion that patients have difficulty distinguishing between acute and persistent pain. This lack of differentiation was further displayed by the use of factor replacement to treat persistent pain associated with arthritic discomfort (38%) which would be viewed as inappropriate, as well as lack of factor replacement use by 21% of respondents who identified pain as from an acute bleed. Opportunities exist to improve pain management through patient and provider-directed educational programs.

IMPORTANCE Diabetes management operates under a complex interrelationship between behavioral, social, and economic factors that affect a patient's ability to self-manage and access care.OBJECTIVE To examine the association between 2 complementary area-based metrics, area deprivation index (ADI) score and rurality, and optimal diabetes care. DESIGN, SETTING, AND PARTICIPANTSThis cross-sectional study analyzed the electronic health records of patients who were receiving care at any of the 75 Mayo Clinic or Mayo Clinic Health System primary care practices in Minnesota, Iowa, and Wisconsin in 2019. Participants were adults with diabetes aged 18 to 75 years. All data were abstracted and analyzed between June 1 and November 30, 2020. MAIN OUTCOMES AND MEASURESThe primary outcome was the attainment of all 5 components of the D5 metric of optimal diabetes care: glycemic control (hemoglobin A 1c <8.0%), blood pressure (BP) control (systolic BP <140 mm Hg and diastolic BP <90 mm Hg), lipid control (use of statin therapy according to recommended guidelines), aspirin use (for patients with ischemic vascular disease), and no tobacco use. The proportion of patients receiving optimal diabetes care was calculated as a function of block group-level ADI score (a composite measure of 17 US Census indicators) and zip code-level rurality (calculated using Rural-Urban Commuting Area codes). Odds of achieving the D5 metric and its components were assessed using logistic regression that was adjusted for demographic characteristics, coronary artery disease history, and primary care team specialty. RESULTS Among the 31 934 patients included in the study (mean [SD] age, 59 [11.7] years; 17 645 men [55.3%]), 13 138 (41.1%) achieved the D5 metric of optimal diabetes care. Overall, 4090 patients (12.8%) resided in the least deprived quintile (quintile 1) of block groups and 1614 (5.1%) lived in the most deprived quintile (quintile 5), while 9193 patients (28.8%) lived in rural areas and 2299 (7.2%) in highly rural areas. The odds of meeting the D5 metric were lower for individuals residing in quintile 5 vs quintile 1 block groups (odds ratio [OR], 0.72; 95% CI, 0.67-0.78). Patients residing in rural (OR, 0.84; 95% CI, 0.73-0.97) and highly rural (OR, 0.81; 95% CI, 0.72-0.91) zip codes were also less likely to attain the D5 metric compared with those in urban areas. CONCLUSIONS AND RELEVANCEThis cross-sectional study found that patients living in more deprived and rural areas were significantly less likely to attain high-quality diabetes care compared with those living in less deprived and urban areas. The results call for geographically targeted population health management efforts by health systems, public health agencies, and payers.