Browsing by Subject "Health care delivery"

Now showing 1 - 4 of 4
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    Catalyzing Restructure of a Broken Healthcare System
    (American Heart Association, 2024) Breathett, Khadijah; Manning, Kimberly D.; Medicine, School of Medicine
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    Insurance, chronic health conditions, and utilization of primary and specialty outpatient services: a Childhood Cancer Survivor Study report
    (Springer, 2018-10) Mueller, Emily L.; Park, Elyse R.; Kirchhoff, Anne C.; Kuhlthau, Karen; Nathan, Paul C.; Perez, Giselle; Rabin, Julia; Hutchinson, Raymond; Oeffinger, Kevin C.; Robison, Leslie L.; Armstrong, Gregory T.; Leisenring, Wendy M.; Donelan, Karen; Medicine, School of Medicine
    PURPOSE: Survivors of childhood cancer require life-long outpatient healthcare, which may be impacted by health insurance. This study sought to understand survivors' utilization of outpatient healthcare provider services. METHODS: The study examined cross-sectional survey data using an age-stratified sample from the Childhood Cancer Survivor Study of self-reported annual use of outpatient services. Multivariable logistic regression analyses were used to identify risk factors associated with utilization of services. RESULTS: Six hundred ninety-eight survivors were surveyed, median age 36.3 years (range 22.2-62.6), median time from diagnosis 28.8 years (range 23.1-41.7). Almost all (93%) of survivors had at least one outpatient visit during the previous year; 81.3% of these visits were with a primary care providers (PCP), 54.5% were with specialty care physicians, 30.3% were with nurse practitioner/physician's assistants (NP/PA), and 14.2% were with survivorship clinic providers. Survivors with severe to life-threatening chronic health conditions had greater odds of utilizing a specialty care physician (OR = 5.15, 95% CI 2.89-9.17) or a survivorship clinic (OR = 2.93, 95% CI 1.18-7.26) than those with no chronic health conditions. Having health insurance increased the likelihood of seeking care from NP/PA (private, OR = 2.76, 95% CI 1.37-5.58; public, OR = 2.09, 95% CI 0.85-5.11), PCP (private, OR = 7.82, 95% CI 3.80-13.10; public, OR = 7.24, 95% CI 2.75-19.05), and specialty care (private, OR = 2.96, 95% CI 1.48-5.94; public, OR = 2.93, 95% CI 1.26-6.84) compared to without insurance. CONCLUSION: Most childhood cancer survivors received outpatient care from a PCP, but a minority received care from a survivorship clinic provider. Having health insurance increased the likelihood of outpatient care. IMPLICATIONS FOR CANCER SURVIVORS: Targeted interventions in the primary care setting may improve risk-based, survivor-focused care for this vulnerable population.
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    Nurse practitioner patient care patterns and practice characteristics : understanding the role of state scope-of-practice policies
    (2017-05-09) Norwood, Connor W.; Harle, Christopher; Menachemi, Nir; Stone, Cynthia; Liu, Ziyue
    Introduction: The U.S. is faced with a primary care (PC) workforce shortage; an estimated 43 percent of the population has unmet health care needs and 18.2 percent of the adult population lacks a usual source of care (USC) provider. The workforce shortage limits even those with a USC from receiving the full scope of recommended clinical services. One promising solution is reforming scope-of-practice (SOP) policies for PC nurse practitioners (NPs). Objectives: The primary objective of this dissertation was to assess the impact of NP SOP policy implementation on NP practice patterns and patient access to PC by evaluating NP time spent delivering patient care, NP role as USC providers, patient travel times, and appointment availability. Methods: The studies discussed in this dissertation leveraged cross-sectional data from the National Sample Survey of Nurse Practitioners (NSSNP), time-series data from the Medical Expenditure Panel Survey (MEPS), and the Nurse Practitioner Professional Practice Index (NPPPI) to quantify variations in state policy environments. We used generalized mixed effects models to examine relationships in the cross-sectional data analyses and two-way fixed effect models to evaluate longitudinal data. Results: Our analyses revealed several key findings: NP SOP policies do impact the percentage of time NPs spend providing direct patient care; the NP workforce role as USC providers has increased as SOP policies have changed; states with supportive reimbursement policies have more NPs working as USC providers; and states with fewer NP supervision requirements have shorter patient travel times to USC providers. Conclusion: The U.S. health care system must continue to evolve to address the growing demand for PC services. While strategies to increase the supply of PC providers may be an effective long-term solution, our findings suggest that NP SOP reform may be a viable and complementary strategy to increasing the capacity of the PC workforce, providing more immediate relief.
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    Telemedicine Use During the COVID-19 Pandemic in 8 Countries From the International Sexual Health and Reproductive Health Consortium: Web-Based Cross-Sectional Survey Study
    (JMIR, 2025-03-04) Tan, Rayner Kay Jin; Hensel, Devon; Ivanova, Olena; Bravo, Raquel Gomez; Olumide, Adesola; Adebayo, Emmanuel; Cleeve, Amanda; Gesselman, Amanda; Shah, Sonam Jyoti; Adesoba, Helen; Marley, Gifty; Tang, Weiming; Pediatrics, School of Medicine
    Background: Telemedicine is an important way to fill in the access gap to in-person health care services during challenging times like pandemics. Objective: This study aimed to investigate the role that telemedicine played during the COVID-19 pandemic by multicountry comparison of the use of telemedicine prior to and during the pandemic. Methods: This study analyzes data from the second wave of the International Sexual Health and Reproductive Health study. This included data collected between April 2021 and July 2022 in 8 countries, including Armenia (n=296), Egypt (n=889), Germany (n=138), Moldova (n=311), Nigeria (n=205), Portugal (n=951), Singapore (n=13), and Spain (n=54). This study covered sociodemographics, sexual and reproductive health (SRH), and telemedicine use. Descriptive statistics and multilevel modeling were used to assess the factors influencing the use of telemedicine. Results: Overall, 2857 participants were recruited. Approximately 57.6% (n=1646) of participants had never used telemedicine prior to COVID-19 measures, while 45.9% (n=1311) of participants required health care but reported not using telemedicine services following the introduction of COVID-19 measures. In high-income countries, the most common mode reported was audio-based telemedicine services, with 283 (71.8%) and 417 (73.5%) participants doing so before and during COVID-19, respectively. This was followed by text-based telemedicine services, with 152 (38.6%) and 173 (30.5%) participants doing so before and during COVID-19, respectively. In low- to middle-income countries, many participants also reported using audio-based telemedicine services, with 288 (35.3%) and 237 (40.8%) participants doing so before and during COVID-19, respectively. This was followed by chat-based telemedicine services, with 265 (32.4%) and 217 (37.3%) participants doing so before and during COVID-19, respectively. Multilevel modeling revealed that those who were older (adjusted odds ratio [aOR] 0.99, 95% CI 0.99-1.00) and were in countries with a higher gross domestic product per capita (aOR 0.99, 95% CI 0.98-1.00) were less likely to have ever used telemedicine. Participants who were of male sex assigned at birth (aOR 0.79, 95% CI 0.65-0.96) were less likely to use telemedicine during the pandemic. Participants who perceived that they were worse off financially were more likely to have switched to telemedicine during COVID-19 (aOR 1.39, 95% CI 1.02-1.89) and were more likely to report having a poor or fair experience of telemedicine services (aOR 1.75, 95% CI 1.34-2.29). When sexual orientation was included in the model, nonheterosexual individuals were more likely to ever use telemedicine prior to COVID-19 (aOR 1.35, 95% CI 1.08-1.69), more likely to have used telemedicine during COVID-19 (aOR 1.58, 95% CI 1.24-2.02), and more likely to have switched to telemedicine during COVID-19 (aOR 1.55, 95% CI 1.09-2.21). Conclusions: Telemedicine played a key role in addressing health care needs during the COVID-19 pandemic. Age, sex, economic status, and sexual orientation influenced its use.