Impact of primary care provider density on detection and diagnosis of cutaneous melanoma

Association of county-level provider density with hepatobiliary cancer incidence and mortality

BACKGROUND

Access to healthcare providers is a key factor in reducing cancer incidence and mortality, underscoring the significance of provider density as a crucial metric of health quality. We sought to characterize the association of provider density on hepatobiliary cancer population-level incidence and mortality.

STUDY DESIGN

County-level hepatobiliary cancer incidence and mortality data from 2016 to 2020 and provider data from 2016 to 2018 were obtained from the CDC and Area Health Resource File. Multivariable logistic regression was utilized to evaluate the relationship between provider density and hepatobiliary cancer incidence and mortality.

RESULTS

Among 1359 counties, 851 (62.6%) and 508 (37.4%) counties were categorized as urban and rural, respectively. The median number of providers in any given county was 104 (IQR: 44-306), while provider density was 120.1 (IQR: 86.7-172.2) per 100,000 population; median household income was $51,928 (IQR: $45,050-$61,655). Low provider-density counties were more likely to have a greater proportion of residents over 65 years of age (52.7% vs. 49.6%) who were uninsured (17.4% vs. 13.2%) versus higher provider-density counties (p < 0.05). Moreover, all-stage incidence, late-stage incidence, and mortality rates were higher in counties with low provider density. On multivariable analysis, moderate, and high provider density were associated with lower odds of all-stage incidence, late-stage incidence, and mortality.

CONCLUSION

Higher county-level provider density was associated with lower hepatobiliary cancer-related incidence and mortality. Efforts to increase access to healthcare providers may improve healthcare equity as well as long-term cancer outcomes.

Association of county-level provider density and social vulnerability with colorectal cancer-related mortality

BACKGROUND

Health care providers play a crucial role in increasing overall awareness, screening, and treatment of cancer, leading to reduced cancer mortality. We sought to characterize the impact of provider density on colorectal cancer population-level mortality.

METHODS

County-level provider data, obtained from the Area Health Resource File between 2016 and 2018, were used to calculate provider density per county. These data were merged with county-level colorectal cancer mortality 2016-2020 data from the Centers for Disease Control and Prevention. Multivariable regression was performed to define the association between provider density and colorectal cancer mortality.

RESULTS

Among 2,863 counties included in the analytic cohort, 1,132 (39.5%) and 1,731 (60.5%) counties were categorized as urban and rural, respectively. The colorectal cancer-related crude mortality rate was higher in counties with low provider density versus counties with moderate or high provider density (low = 22.9, moderate = 21.6, high = 19.3 per 100,000 individuals; P < .001). On multivariable analysis, the odds of colorectal cancer mortality were lower in counties with moderate and high provider density versus counties with low provider density (moderate odds ratio 0.97, 95% confidence interval 0.94-0.99; high odds ratio 0.88, 95% confidence interval 0.86-0.91). High provider density remained associated with a lower likelihood of colorectal cancer mortality independent of social vulnerability index (low social vulnerability index and high provider density: odds ratio 0.85, 95% confidence interval 0.81-0.89; high social vulnerability index and high provider density: odds ratio 0.93, 95% confidence interval 0.89-0.98).

CONCLUSION

Regardless of social vulnerability index, high county-level provider density was associated with lower colorectal cancer-related mortality. Efforts to increase access to health care providers may improve health care equity, as well as long-term cancer outcomes.

Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial

BACKGROUND

Use of artificial intelligence (AI), or machine learning, to assess dermoscopic images of skin lesions to detect melanoma has, in several retrospective studies, shown high levels of diagnostic accuracy on par with - or even outperforming - experienced dermatologists. However, the enthusiasm around these algorithms has not yet been matched by prospective clinical trials performed in authentic clinical settings. In several European countries, including Sweden, the initial clinical assessment of suspected skin cancer is principally conducted in the primary healthcare setting by primary care physicians, with or without access to teledermoscopic support from dermatology clinics.

OBJECTIVES

To determine the diagnostic performance of an AI-based clinical decision support tool for cutaneous melanoma detection, operated by a smartphone application (app), when used prospectively by primary care physicians to assess skin lesions of concern due to some degree of melanoma suspicion.

METHODS

This prospective multicentre clinical trial was conducted at 36 primary care centres in Sweden. Physicians used the smartphone app on skin lesions of concern by photographing them dermoscopically, which resulted in a dichotomous decision support text regarding evidence for melanoma. Regardless of the app outcome, all lesions underwent standard diagnostic procedures (surgical excision or referral to a dermatologist). After investigations were complete, lesion diagnoses were collected from the patients' medical records and compared with the app's outcome and other lesion data.

RESULTS

In total, 253 lesions of concern in 228 patients were included, of which 21 proved to be melanomas, with 11 thin invasive melanomas and 10 melanomas in situ. The app's accuracy in identifying melanomas was reflected in an area under the receiver operating characteristic (AUROC) curve of 0.960 [95% confidence interval (CI) 0.928-0.980], corresponding to a maximum sensitivity and specificity of 95.2% and 84.5%, respectively. For invasive melanomas alone, the AUROC was 0.988 (95% CI 0.965-0.997), corresponding to a maximum sensitivity and specificity of 100% and 92.6%, respectively.

CONCLUSIONS

The clinical decision support tool evaluated in this investigation showed high diagnostic accuracy when used prospectively in primary care patients, which could add significant clinical value for primary care physicians assessing skin lesions for melanoma.

Disparities in access for melanoma screening by region, specialty, and insurance: A cross-sectional audit study

Background

Early detection of melanoma is critical for positive outcomes. However, access for the diagnosis of melanoma remains problematic for segments of the general population.

Objective

To compare the rates of dermatology and family medicine practitioner acceptances for a public insurance (Medicaid) versus private insurance (Anthem Blue Cross) and clinic wait times for an appointment for a changing pigmented skin lesion concerning melanoma in rural and urban regions in California.

Methods

Cross-sectional audit study between June 2017 and March 2019; scripted phone calls were made to dermatology and family medicine practices (FMPs).

Results

Family medicine and dermatology practices in both regions had significantly decreased acceptance of Medicaid. Dermatology practices had 11.3% to 13.0% Medicaid acceptance rates that were less than FMP rates of 28% to 36%. In both regions, FMP wait times were 2.4- to 3.2-fold longer for public versus private insurance; there were little differences in wait times for the 2 insurance types in dermatology practices, in both regions.

Limitations

Assessment of only 2 regions in the state of California.

Conclusion

Delays at FMPs and insurance types limit access to melanoma screening in California for underserved segments of the general population, which has implications for melanoma outcomes and health policy.

Geographic variation in the use of triptans and opioids for the acute treatment of migraine attacks

OBJECTIVE

To assess the geographic variations in triptan and opioid prescribing patterns for patients with migraine.

BACKGROUND

Numerous guidelines recommend triptans as the standard of care for migraine attacks, yet opioids are still widely used for migraine treatment. Variation in the use of opioids and triptans for the treatment of migraine by geographic location is not well known.

METHODS

Using a US claims database, we conducted a retrospective cohort study of adults diagnosed with migraine between 2016 and 2018. We used a 12-month follow-up period to assess triptan and opioid utilization, stratified by the nine Census Bureau-designated divisions. To examine the geographic factors that affect triptan and opioid use among patients, we conducted two sets of multivariable analyses. First, we analyzed the odds of a patient being a triptan or opioid user in the follow-up period, defined as ≥1 triptan or opioid claim. We then analyzed the medication use rate among triptan or opioid users.

RESULTS

Overall, we had a final study population of 113,921 patients. In the follow-up period, 52.9% (60,247/113,921) [range: 48.0%-56.3%] of patients were triptan users and 41.0% (46,708/113,921) [range: 28.9%-48.4%] of patients were opioid users with significant differences across census divisions (p < 0.001). Triptan users had a mean (SD) of 4.8 (4.7) triptan claims annually with no significant differences across divisions (p = 0.188). Opioid users had a mean (SD) of 5.4 (6.8) opioid claims annually with significant differences across divisions (p < 0.001). The observed variation in opioid use stemmed from the proportion of patients using opioids in each region and not from the number of opioid prescriptions per user.

CONCLUSIONS

There was a significant geographic variation in the use of opioids and to a lesser degree the use of triptans. The widespread use of opioids and the large variation in use other than triptans as the standard of care suggest that improvements could be made in the acute treatment of migraine attacks.

Primary Care Provider Density and Elective Total Joint Replacement Outcomes

BACKGROUND

Primary care physicians (PCPs) are often gatekeepers to specialist care. This study assessed the relationship between PCP density and total knee (TKA) and total hip arthroplasty (THA) outcomes.

METHODS

We obtained patient-level data from an institutional registry on patients undergoing elective primary TKA and THA for osteoarthritis, including Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function scores at baseline and 2 years. Using geocoding, we identified the number of PCPs in the patient's census tract (communities). We used Augmented Inverse Probability Weighting and Cross-validated Targeted Minimum Loss-Based Estimation to compare provider density and outcomes adjusting for potential confounders.

RESULTS

Our sample included 3606 TKA and 4295 THA cases. The median number of PCPs in each community was similar for both procedures: TKA 2 (interquartile range 1, 6) and for THA 2 (interquartile range 1, 7). Baseline and 2-year follow-up WOMAC pain, function, and stiffness scores were not statistically significantly different comparing communities with more than median number of PCPs to those with less than median number of PCPs. In sensitivity analyses, adding 1 PCP to a community with zero PCPs would not have statistically significantly improved baseline or 2-year follow-up WOMAC pain, function, and stiffness scores.

CONCLUSIONS

In this sample of patients who underwent elective TKA or THA for osteoarthritis, we found no statistically significant association between PCP density and pain, function, or stiffness outcomes at baseline or 2 years. Further studies should examine what other provider factors affect access and outcomes in THA and TKA.

Late-Stage Melanoma in New York State: Associations with Socioeconomic Factors and Healthcare Access at the County Level

A diagnosis of late-stage melanoma is associated with significant mortality. From a public health perspective, the knowledge of geographic disparities in late-stage diagnoses can inform efforts to facilitate the diagnosis of the earlier stage, highly curable melanomas. We conducted a county-level analysis of melanoma in New York state to identify communities that may benefit from pilot health interventions to reduce the burden of late-stage melanoma. From 1995 to 2016, late-stage melanoma incidence increased from 1.5 to 2.8 cases per 100,000 in New York state. We found statistically significant associations between decreased county-level health system access (including physician density and resident educational status) and increased county incidence and proportion of late-stage disease among diagnosed cases (P < 0.001 for both). Increased county-level socioeconomic status, including measures of resident wealth and medical insurance status, was positively associated with greater late-stage incidence (P < 0.001). However, decreased county-level socioeconomic status was positively associated with a greater proportion of late-stage disease among cases at diagnosis (P = 0.009). Counties with reduced access to physician services and lower socioeconomic status may be suitable for pilot interventions promoting the recognition and diagnosis of early-stage melanomas to reduce late-stage diagnoses and associated mortality.

[Prevalence of dermatological diseases in Primary Care]

OBJECTIVE

To guide the training of Primary Care physicians in the most prevalent and relevant skin pathologies, it is necessary to study their prevalence in the Primary Care consultation and describe their characteristics.

MATERIALS AND METHODS

Observational cross-sectional study. It took place at the Porriño Health Center (Pontevedra, Spain). A total of 305 patients of the same quota participated, recruited in consultation during 41days between September 2018 and February 2019, selected by systematic sampling coinciding with those mentioned at the hour between 9 and 13hours and, failing that, we selected the next of those mentioned. The variables were analyzed: age, sex, educational and economic level, diagnostic means, previous diagnosis of dermatological disease, treatment, follow-up and relationship with systemic diseases. The statistical analysis performed was descriptive and bivariate by sex with chi-square and Fisher's exact tests.

RESULTS

161 women and 144 men participated, age and number of consultations being non-parametric. Median age was 59years (IQR: 42-69), with no significant differences between sexes. 69.83% (95%CI: 64.46-74.71) present between 1 and 5 types of skin lesions grouped in 33 different diagnoses. The 15 most frequent pathologies account for 77.35% (95%CI: 75.80-84.48) of diagnoses. As the most relevant pathologies, we observed two basal cell carcinomas and one squamous cell carcinoma (0.98%; 95%CI: 0.34-2.85).

CONCLUSIONS

Dermatological diseases have a high prevalence in Primary Care.

Which medical disciplines diagnose and treat melanoma in Europe in 2019? A survey of experts from melanoma centres in 27 European countries

BACKGROUND AND OBJECTIVES

The incidence of melanoma is increasing. This places significant burden on societies to provide efficient cancer care. The European Cancer Organisation recently published the essential requirements for quality melanoma care. The present study is aimed for the first time to roughly estimate the extent to which these requirements have been met in Europe.

MATERIALS AND METHODS

A web-based survey of experts from melanoma centres in 27 European countries was conducted from 1 February to 1 August 2019. Data on diagnostic techniques, surgical and medical treatment, organization of cancer care and education were collected and correlated with national health and economic indicators and mortality-to-incidence ratio (MIR) as a surrogate for survival. Univariate linear regression analysis was performed to evaluate the correlations. SPSS software was used. Statistical significance was set at P < 0.05.

RESULTS

The MIR was lower in countries with a high health expenditure per capita and with a higher numbers of general practitioners (GPs) and surgeons (SURG) per million inhabitants. In these countries, GPs and dermatologists (DER) were involved in melanoma detection; high percentage of DER used dermatoscopy and were involved in the follow-up of all melanoma stages; both medical oncologists (ONC) and dermato-oncologists administered systemic treatments; and patients had better access to sentinel lymph node biopsy and were treated within multidisciplinary tumour boards.

CONCLUSION

Based on these first estimates, the greater involvement of GPs in melanoma detection; the greater involvement of highly trained DER in dermatoscopy, dermatosurgery, follow-up and the systemic treatment of melanoma; and the provision of ongoing dermato-oncology training for pathologists, SURG, DER and ONC are necessary to provide an optimal melanoma care pathway. A comprehensive analysis of the melanoma care pathway based on clinical melanoma registries will be needed to more accurately evaluate these first insights.

Changes in Disparities in Stage of Breast Cancer Diagnosis in Pennsylvania After the Affordable Care Act

Background: This study sought to determine if increased access to health insurance following the Affordable Care Act (ACA) resulted in an increased proportion of early-stage breast cancer diagnosis among women in Pennsylvania, particularly minorities, rural residents, and those of lower socioeconomic status. Materials and Methods: Data on 35,735 breast cancer cases among women 50-64 and 68-74 years of age in Pennsylvania between 2010 and 2016 were extracted from the Pennsylvania Cancer Registry and analyzed in 2019. Women 50-64 years of age were subdivided by race/ethnicity, area of residence, and socioeconomic status as measured by area deprivation index (ADI). We compared the proportions of early-stage breast cancer diagnosis pre-ACA (2010-2013) and post-ACA (2014-2016) for all women 50-64 years of age to all women 68-74 years of age. This comparison was also made between paired sociodemographic subgroups for women 50-64 years of age. Multivariable logistic regression models were constructed to assess how race, area of residence, ADI, and primary care physician (PCP) density interacted to impact breast cancer diagnosis post-ACA. Results: The proportion of early-stage breast cancer diagnosis increased by 1.71% post-ACA among women 50-64 years of age (p < 0.01), whereas women 68-74 years of age saw no change. Multivariable logistic regression analysis demonstrated that minority women had lower odds of early-stage breast cancer diagnosis pre-ACA, but not post-ACA, when controlling for ADI. Meanwhile, increased area-level socioeconomic advantage was associated with higher odds of being diagnosed with early-stage breast cancer pre- and post-ACA irrespective of controlling for race, area of residence, or PCP density. Conclusions: Enhanced access to health insurance under the ACA was associated with an increased proportion of early-stage breast cancer diagnosis in Pennsylvanian women 50-64 years of age and may have reduced racial, but not socioeconomic, disparities in breast cancer diagnosis.

The impact of demographics, socioeconomics, and health care access on melanoma outcomes

Disparities in melanoma care exist in the United States. Disparities in provider type, patient demographics, place of residence, insurance status, socioeconomic status, race/ethnicity, and age impact melanoma outcomes. Melanomas detected by dermatologists are thinner, at an earlier stage, and have better survival outcomes compared with detection by primary care providers or patients. Lower socioeconomic status, race/ethnicity, and place of residence are associated with decreased access to or use of dermatologists, or both, and more advanced melanomas at diagnosis. Additionally, uninsured and publicly insured individuals are more likely to present with late-stage melanomas, resulting in worse outcomes. This review provides a comprehensive overview of how structural and patient-level characteristics influence melanoma outcomes in order to inform clinical care and health care policy as it relates to addressing gaps in melanoma care.

Epidemiology and survival outcomes in stages II and III cutaneous melanoma: a systematic review

Aim

Management of cutaneous melanoma (CM) is continually evolving with adjuvant treatment of earlier stage disease. The aim of this review was to identify published epidemiological data for stages II-III CM.

Materials & methods

Systematic searches of Medline and Embase were conducted to identify literature reporting country/region-specific incidence, prevalence, survival or mortality outcomes in stage II and/or III CM. Screening was carried out by two independent reviewers.

Results & conclusion

Of 41 publications, 14 described incidence outcomes (incidence rates per stage were only reported for US and Swedish studies), 33 reported survival or mortality outcomes and none reported prevalence data. This review summarizes relevant data from published literature and highlights an overall paucity of epidemiological data in stages II and III CM.