Abstract:Purpose
We evaluated temporal trends in rural‐urban disparities of the surgeon supply among surgeons commonly treating patients with cancer.
Methods
We performed a retrospective observational study of county‐level workforce changes from 2004 to 2017 using the Area Health Resource File. We calculated physician density (providers/100,000 population) for each specialty by rural and urban counties using the 2003 Rural‐Urban Commuting Codes (RUCC), and evaluated percent changes in the rural‐urban disparity in physi… Show more
“…A second population more likely to capitalize on a relaxation of state telemedicine restrictions are rural beneficiaries and those who live in counties with fewer physicians per capita. We believe these differences are partly driven by the lack of availability of specialty clinicians in the local community in rural areas and specifically the lack of availability of tertiary care centers . This likely explains why we saw greater use of out-of-state telemedicine for conditions such as cancer and conditions treated by uncommon specialists.…”
Section: Discussionmentioning
confidence: 99%
“…We believe these differences are partly driven by the lack of availability of specialty clinicians in the local community in rural areas and specifically the lack of availability of tertiary care centers. 22 , 23 , 24 This likely explains why we saw greater use of out-of-state telemedicine for conditions such as cancer and conditions treated by uncommon specialists. As state licensure regulations change, it will be important to track telemedicine use among these populations to assess if use differentially falls.…”
IMPORTANCE Early in the COVID-19 pandemic, states implemented temporary changes allowing physicians without a license in their state to provide care to their residents. There is an ongoing debate at both the federal and state levels on whether to change licensure rules permanently to facilitate out-of-state telemedicine use.
OBJECTIVETo describe out-of-state telemedicine use during the pandemic.
“…A second population more likely to capitalize on a relaxation of state telemedicine restrictions are rural beneficiaries and those who live in counties with fewer physicians per capita. We believe these differences are partly driven by the lack of availability of specialty clinicians in the local community in rural areas and specifically the lack of availability of tertiary care centers . This likely explains why we saw greater use of out-of-state telemedicine for conditions such as cancer and conditions treated by uncommon specialists.…”
Section: Discussionmentioning
confidence: 99%
“…We believe these differences are partly driven by the lack of availability of specialty clinicians in the local community in rural areas and specifically the lack of availability of tertiary care centers. 22 , 23 , 24 This likely explains why we saw greater use of out-of-state telemedicine for conditions such as cancer and conditions treated by uncommon specialists. As state licensure regulations change, it will be important to track telemedicine use among these populations to assess if use differentially falls.…”
IMPORTANCE Early in the COVID-19 pandemic, states implemented temporary changes allowing physicians without a license in their state to provide care to their residents. There is an ongoing debate at both the federal and state levels on whether to change licensure rules permanently to facilitate out-of-state telemedicine use.
OBJECTIVETo describe out-of-state telemedicine use during the pandemic.
“…For example, the prevalence of cigarette smoking in rural Appalachian Ohio was 27% among men and 26% among women in 2019; in non-Appalachian metro areas of Ohio the prevalence of cigarette smoking was 23% among men and 21% among women [41]. These disparities in cigarette smoking, in combination with other factors including higher poverty rates and reduced access to specialized health care [42,43], contribute to cancer disparities for people living in rural and Appalachian regions of the United States [29][30][31][32]. With the stubbornly high prevalence of tobacco use in these regions, approaches that involve switching from a higher-risk to a lower-risk tobacco product, such as ONPs [11],…”
Background and aimsOral nicotine pouches (ONPs) probably offer reduced harm compared with cigarettes, but independent data concerning their misuse liability are lacking. We compared nicotine delivery and craving relief from ONPs with different nicotine concentrations to cigarettes.DesignThis was a single‐blind, three‐visit (≥ 48‐hour washout), randomized‐cross‐over study. Participants were encouraged to complete all study visits in less than 1 month.SettingThe study took place in Rural/Appalachian Ohio.ParticipantsParticipants comprised 30 adults who smoke cigarettes. Participants (meanage = 34.5) were 60% men and 90% White.InterventionParticipants who were ≥ 12‐hour tobacco‐abstinent used: (1) a 3‐mg nicotine concentration ONP, (2) a 6‐mg nicotine concentration ONP and (3) usual brand cigarette in separate visits. ONPs (wintergreen Zyn) were used for 30 minutes; cigarettes were puffed every 30 sec for 5 minutes.MeasurementsPlasma nicotine and self‐reported craving were assessed at t = 0, 5, 15, 30, 60 and 90 minutes. The primary outcome was plasma nicotine concentration at t = 30 minutes. A secondary outcome was craving relief at t = 5 minutes.FindingsAt t = 30, mean [95% confidence interval (CI)] plasma nicotine was 9.5 ng/ml (95% CI = 7.1, 11.9 ng/ml) for the 3 mg nicotine ONP, 17.5 ng/ml (95% CI = 13.7, 21.3) for the 6 mg nicotine ONP and 11.4 ng/ml (95% CI = 9.2, 13.6 ng/ml) for the cigarette. Mean plasma nicotine at t = 30 minutes differed between the 3‐ and 6‐mg nicotine ONPs (P = 0.001) and between the 6‐mg nicotine ONP and cigarette (P = 0.002). Mean (95% CI) craving at t = 5 minutes was lower for the cigarette (mean = 1.00, 95% CI = 0.61, 1.39) than either the 3 mg (mean = 2.25, 95% CI = 1.68, 2.82; P < 0.0001) or 6 mg nicotine (mean = 2.19, 95% CI = 1.60, 2.79; P < 0.0001) ONP.ConclusionsAmong adult smokers, using 6‐mg nicotine concentration oral nicotine pouches (ONPs) was associated with greater plasma nicotine delivery at 30 minutes than 3‐mg ONPs or cigarettes, but neither ONP relieved craving symptoms at 5 minutes as strongly as a cigarette. Accelerating the speed of nicotine delivery in ONPs might increase their misuse liability relative to cigarettes.
“…The loss of surgeons and surgical service lines may be a precursor to hospital closure. Studies show that surgeon supply has decreased in rural counties with rural‐urban disparities being most pronounced among general surgeons 23 . Another study found that annual reductions in the supply of general surgeons and surgical specialists led to rural hospital closures 24 .…”
Section: Discussionmentioning
confidence: 99%
“…Studies show that surgeon supply has decreased in rural counties with rural-urban disparities being most pronounced among general surgeons. 23 Another study found that annual reductions in the supply of general surgeons and surgical specialists led to rural hospital closures. 24 The loss of these providers, and the subsequent loss of revenue from surgical procedures, may be a factor in rural hospital clo-sures in addition to the lack of Medicaid expansion that may protect against uncompensated care and improve revenue and margins.…”
Introduction
Rural populations have less access to cancer care services and experience higher cancer mortality rates than their urban counterparts, which may be exacerbated by hospital closures. Our objective was to examine the impact of hospital closures on access to cancer‐relevant hospital services across hospital service areas (HSAs).
Methods
We used American Hospital Association survey data from 2008 to 2017 to examine the change in access to cancer‐related screening and treatment services across rural HSAs that sustained hospitals over time, experienced any closures, or had all hospitals close. We performed a longitudinal analysis to assess the association between hospital closure occurrence and maintenance or loss of cancer‐related service lines accounting for hospital and HSA‐level characteristics. Maps were also developed to display changes in the availability of services across HSAs.
Results
Of the 2,014 rural HSAs, 3.8% experienced at least 1 hospital closure during the study period, most occurring in the South. Among HSAs that experienced hospital closure, the loss of surgery services lines was most common, while hospital closures did not affect the availability of overall oncology and radiation services. Screening services either were stable (mammography) or increased (endoscopy) in areas with no closures.
Discussion
Rural areas persistently experience less access to cancer treatment services, which has been exacerbated by hospital closures. Lack of Medicaid expansion in many Southern states and other policy impacts on hospital financial viability may play a role in this. Future research should explore the impact of closures on cancer treatment receipt and outcomes.
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