Dissertations / Theses on the topic 'Primary care (Medicine) Victoria Administration'

Background: The United States Preventive Services Task Force guidelines support screening and provision of intensive multi-component behavioral counseling for adults who have obesity. One barrier to providing such counseling is lack of training in medical school. Not much is known about factors associated with medical students’ perceived weight management counseling (WMC) skills or whether preceptors model or teach WMC during primary care clerkships. Methods: A mixed methods approach addressed factors affecting WMC training during primary care clerkships. A secondary analysis of 3rd year medical students (n=730) described students’ perceived WMC skills, attitudes and frequency of engagement in 5As educational experiences. Linear mixed models were used to determine associations between educational experiences and perceived skills. Semi-structured interviews (n=12) and a survey were administered to primary care preceptors (n=77). Interviews described individual, inter-personal and institutional factors associated with preceptors’ WMC. The survey described preceptors’ frequency of modeling WMC behaviors, perceived WMC skills, and attitudes. Results: Students perceived themselves to be moderately skilled (M=2.6, SD=0.05, range 1-4). Direct patient experiences and specific instruction were associated with higher perceived skill. Preceptors support WMC curricula but do not perceive themselves to be experts in WMC. Preceptors perceive themselves to be moderately skilled (M=2.8, SD=0.06, range 1-4) but only sometimes model WMC (M=3.3, SD=0.05, range 1-5) to students during clerkships. Conclusion: Preceptor modeling WMC may not be feasible or necessary during primary care clerkships. Providing specific WMC instruction and working with patients may provide more benefit as they were more strongly associated with students’ perceived skills.

According to the Association of American Medical Colleges, the primary care workforce shortage in 2025 will exceed 46,000 primary care physicians. Healthcare business leaders in Gwinnett County, Georgia have not evaluated the advantages and disadvantages of telemedicine (TM) to mitigate the workforce shortage. The purpose of this qualitative descriptive study was to determine factors primary care physician administrators consider when deciding to implement TM as a potential solution for the growing physician shortage. A purposive sample of 20 primary care physician administrators located in Gwinnett County, Georgia was drawn. The theory of disruptive technology was the conceptual framework. Data collected stemmed from semistructured interviews with each participant and review of organizational plans and workflow documents. Data were recorded, transcribed, and coded to develop themes. Three themes morphed from the study: TM awareness and education, TM cost and reimbursement, and TM implementation and utilization. Results indicated that awareness and education of leaders toward TM requires improvement, costs, and reimbursement were variables for deciding to implement or not implement TM, and TM implementation requires knowing the appropriate use of TM. The implications for positive social change include the potential for primary care physician administrators to positively influence the healthcare workforce shortage by adding flexibility to manage patient workflow with TM. Additionally, the potential for physician administrators to utilize TM for healthcare access, creating savings in transportation, energy consumption, and resource optimization, may provide better access to hard-to-reach populations.

The nation is facing a physician shortage, specifically in relation to primary care and in rural underserved areas. The most basic function of a medical school is to educate physicians to care for the national population. The purpose of this study was to examine the physician practicing characteristics of the graduates of East Tennessee State University Quillen College of Medicine including factors that influence graduates’ specialty choices and practice locations, especially those related to primary care. Secondary data for this study were collected from the college’s student database system and the American Medical Association Physician Masterfile. The study population included all living graduates with Doctor of Medicine (MD) degrees who graduated from 1998 through 2009 (n=678). Statistical procedures included Pearson Chi-square, logistic regression, independent t tests, ANOVA, and multiple linear regression. Data analyses revealed that the majority of graduates were between 24 and 29 years of age, male, white, non-Hispanic, and from metropolitan hometowns. Most had completed the generalist track and initially entered a primary care residency training program. The majority passed USMLE Step 1 and Step 2 on the first attempt. The USMLE Step 2-CK average was 212.50. The average cumulative GPA was 3.44. Graduates were nearly evenly divided between primary care and nonprimary care practice, with the majority practicing in metropolitan areas. Graduates who initially entered primary care residency training were more likely to practice primary care medicine than those who entered nonprimary care programs; however, fewer graduates were practicing primary care than had entered primary care residency training. Graduates who attended internal medicine residency training were less likely to be practicing primary care medicine than those who attended family medicine, pediatrics, or OB/GYN programs. Women and Rural Primary Care Track graduates were significantly more likely to practice primary care than were men and generalist track graduates, respectively. Nonprimary care physicians had significantly higher USMLE Step 2-CK scores than did primary care physicians (PCPs). PCPs practiced in more rural locales than non-PCPs. Family physician graduates tended to practice in more rural locales than OB/GYNs or pediatricians. Hometown location predicted practice location over and above medical school track.

Slow adoption of electronic medical records (EMR) by primary care physicians in medical office practices has not facilitated the EMR adoption process. The problem is the slow pace of EMR adoption by primary care physicians in the Atlanta, Georgia area has become a public health concern. Research regarding the lived experiences of these physicians with EMR implementation and utilization may identify reasons for the slow adoption. The purpose of this phenomenological study was to explore the lived experiences of primary care physicians, who practice in the Atlanta area, regarding their perception, successes, barriers, and urgency of adoption of EMR in their healthcare practice. Lewin's change management model of health services served as the framework for the study. Data was collected during face-to-face interviews with 19 primary care physicians at Grady's Ponce de Leon Clinic and Grady's East Point Clinic in Atlanta, Georgia. Participants were physicians or residents and not those in authority to make decisions about the EMR at the two clinics. NVivo 10 and automatic coding was used for data analysis to develop themes from the interviews. The findings revealed that the adoption of EMR has enabled primary care physicians to spend more time with their patients, but the barriers such as a lack of interoperability and lack of training, has fostered a feeling of disinterestedness towards EMR adoption. This study supports positive social change that EMR adoption aids in improving patient safety and outcome.

PURPOSE The purpose of this study was to explore how primary care registered nurses address unmet social needs in patients. SPECIFIC AIMS Explore how RNs in a safety-net, primary care setting develop an awareness of and address patient's unmet social needs. Describe how information about unmet social needs are integrated into nursing assessment and intervention activities, and are shared with other members of the health care team. Describe the challenges primary care RNs face when addressing unmet social needs. FRAMEWORK Critical caring theory provided the framework for this study. DESIGN This study used a descriptive, qualitative design. Semi-structured interviews were conducted with seventeen nurses working in 11 different safety-net primary care clinics within a hospital-based system. RESULTS Three major themes emerged. Key findings included the importance of the nurse-patient relationship, the establishment of trust, and a caring, nonjudgmental approach to patients with unmet social needs. Nurses used knowledge of unmet needs to coordinate patient care, provide social support, and work collaboratively with care team members to refer patients to resources within the health care system and in the community. CONCLUSION Unmet social needs contribute to adverse health outcomes, and addressing social and medical needs is critical to eliminating health inequities and reducing health care costs. In this study, primary care nurses described relationships with patients that allowed for the sharing of sensitive information, leading the nurse to identify and address unmet social needs that could impact patient health.

Approximately half of all emergency department (ED) visits are primary-care sensitive (PCS) – meaning that they could potentially be avoided with timely, effective primary care. Reducing undesirable types of healthcare utilization (including PCS ED use) requires the ability to define, measure, and predict such use in a population. In this retrospective, observational study, we quantified ED use in 2 privately insured populations and developed ED risk prediction models. One dataset, obtained from a Massachusetts managed-care network (MCN), included data from 2009-11. The second was the MarketScan database, with data from 2007-08. The MCN study included 64,623 individuals enrolled for at least 1 base-year month and 1 prediction-year month in Massachusetts whose primary care provider (PCP) participated in the MCN. The MarketScan study included 15,136,261 individuals enrolled for at least 1 base-year month and 1 prediction-year month in the 50 US states plus DC, Puerto Rico, and the US Virgin Islands. We used medical claims to identify principal diagnosis codes for ED visits, and scored each according to the New York University Emergency Department algorithm. We defined primary-care sensitive (PCS) ED visits as those in 3 subcategories: nonemergent, emergent but primary-care treatable, and emergent but preventable/avoidable. We then: 1) defined and described the distributions of 3 ED outcomes: any ED use; number of ED visits; and a new outcome, based on the NYU algorithm, that we call PCS ED use; 2) built and validated predictive models for these outcomes using administrative claims data; 3) compared the performance of models predicting any ED use, number of ED visits, and PCS ED use; 4) enhanced these models by adding enrollee characteristics from electronic medical records, neighborhood characteristics, and payor/provider characteristics, and explored differences in performance between the original and enhanced models. In the MarketScan sample, 10.6% of enrollees had at least 1 ED visit, with about half of utilization scored as PCS. For the top risk group (those in the 99.5th percentile), the model’s sensitivity was 3.1%, specificity was 99.7%, and positive predictive value (PPV) was 49.7%. The model predicting PCS visits yielded sensitivity of 3.8%, specificity of 99.7%, and PPV of 40.5% for the top risk group. In the MCN sample, 14.6% (±0.1%) had at least 1 ED visit during the prediction period, with an overall rate of 18.8 (±0.2) visits per 100 persons and 7.6 (±0.1) PCS ED visits per 100 persons. Measuring PCS ED use with a threshold-based approach resulted in many fewer visits counted as PCS, discarding information unnecessarily. Out of 45 practices, 5 to 11 (11-24%) had observed values that were statistically significantly different from their expected values. Models predicting ED utilization using age, sex, race, morbidity, and prior use only (claims-based models) had lower R2 (ranging from 2.9% to 3.7%) and poorer predictive ability than the enhanced models that also included payor, PCP type and quality, problem list conditions, and covariates from the EMR, Census tract, and MCN provider data (enhanced model R2 ranged from 4.17% to 5.14%). In adjusted analyses, age, claims-based morbidity score, any ED visit in the base year, asthma, congestive heart failure, depression, tobacco use, and neighborhood poverty were strongly associated with increased risk for all 3 measures (all P<.001).

Approximately half of all emergency department (ED) visits are primary-care sensitive (PCS) – meaning that they could potentially be avoided with timely, effective primary care. Reducing undesirable types of healthcare utilization (including PCS ED use) requires the ability to define, measure, and predict such use in a population. In this retrospective, observational study, we quantified ED use in 2 privately insured populations and developed ED risk prediction models. One dataset, obtained from a Massachusetts managed-care network (MCN), included data from 2009-11. The second was the MarketScan database, with data from 2007-08. The MCN study included 64,623 individuals enrolled for at least 1 base-year month and 1 prediction-year month in Massachusetts whose primary care provider (PCP) participated in the MCN. The MarketScan study included 15,136,261 individuals enrolled for at least 1 base-year month and 1 prediction-year month in the 50 US states plus DC, Puerto Rico, and the US Virgin Islands. We used medical claims to identify principal diagnosis codes for ED visits, and scored each according to the New York University Emergency Department algorithm. We defined primary-care sensitive (PCS) ED visits as those in 3 subcategories: nonemergent, emergent but primary-care treatable, and emergent but preventable/avoidable. We then: 1) defined and described the distributions of 3 ED outcomes: any ED use; number of ED visits; and a new outcome, based on the NYU algorithm, that we call PCS ED use; 2) built and validated predictive models for these outcomes using administrative claims data; 3) compared the performance of models predicting any ED use, number of ED visits, and PCS ED use; 4) enhanced these models by adding enrollee characteristics from electronic medical records, neighborhood characteristics, and payor/provider characteristics, and explored differences in performance between the original and enhanced models. In the MarketScan sample, 10.6% of enrollees had at least 1 ED visit, with about half of utilization scored as PCS. For the top risk group (those in the 99.5th percentile), the model’s sensitivity was 3.1%, specificity was 99.7%, and positive predictive value (PPV) was 49.7%. The model predicting PCS visits yielded sensitivity of 3.8%, specificity of 99.7%, and PPV of 40.5% for the top risk group. In the MCN sample, 14.6% (±0.1%) had at least 1 ED visit during the prediction period, with an overall rate of 18.8 (±0.2) visits per 100 persons and 7.6 (±0.1) PCS ED visits per 100 persons. Measuring PCS ED use with a threshold-based approach resulted in many fewer visits counted as PCS, discarding information unnecessarily. Out of 45 practices, 5 to 11 (11-24%) had observed values that were statistically significantly different from their expected values. Models predicting ED utilization using age, sex, race, morbidity, and prior use only (claims-based models) had lower R2 (ranging from 2.9% to 3.7%) and poorer predictive ability than the enhanced models that also included payor, PCP type and quality, problem list conditions, and covariates from the EMR, Census tract, and MCN provider data (enhanced model R2 ranged from 4.17% to 5.14%). In adjusted analyses, age, claims-based morbidity score, any ED visit in the base year, asthma, congestive heart failure, depression, tobacco use, and neighborhood poverty were strongly associated with increased risk for all 3 measures (all P<.001).

Decades of research have shown that there are significant advantages to maintaining close communicative and collaborative relationships between primary care and behavioral health providers. Fiscal, structural, and systemic barriers, however, often restrict the degree to which such interprofessional collaboration can occur. In the present study the authors examined relationships between primary care clinics in the Appalachian region’s characteristics (i.e., clinic type, rurality, and clinic size), barriers (i.e., fiscal, structural, and systemic) reported to using increased collaboration, and the level of collaboration used at a particular clinic. For the present study 136 surveys were completed by providers working in primary care practices across the Appalachian region of Tennessee. The results showed that only about one fifth of the primary care clinics in Appalachian Tennessee reported engaging in moderate to high levels of primary care behavioral health (PCBH) collaboration (e.g., colocated or integrated models of care). Among community health clinics, however, nearly half reported moderate or high levels of collaboration. The findings of this study underscore the importance policy change (e.g., changes in reimbursement patterns, increases in incentives, introduction of PCBH models in training programs) in facilitating the uptake of high levels of PCBH collaboration in Appalachian Tennessee (especially in regards to nonpublicly funded clinics). Further, the methodology used in this study could provide policymakers and researchers in other regions of the U.S. with a means for obtaining baseline data regarding local trends in PCBH collaboration and could serve as first step in developing a standardized methodology for comparing the overall uptake of PCBH collaboration models across regions.

Abstract Amidst the worst disaster to impact a major U.S. city in one hundred years, New Orleans’ main trauma and safety net medical center, the Reverend Avery C. Alexander Charity Hospital, was permanently closed. Charity’s administrative operator, Louisiana State University (LSU), ordered an end to its attempted reopening by its workers and U.S. military personnel in the weeks following the August 29, 2005 storm. Drawing upon rigorous review of literature and an exhaustive analysis of primary and secondary data, this case study found that Charity Hospital was closed as a result of disaster capitalism. LSU, backed by Louisiana state officials, took advantage of the mass internal displacement of New Orleans’ populace in the aftermath of Hurricane Katrina in an attempt to abandon Charity Hospital’s iconic but neglected facility and to supplant its original safety net mission serving the poor and uninsured for its neoliberal transformation to favor LSU’s academic medical enterprise.

Background Primary care practices in the United States (US) are currently constrained in their ability to deliver high quality care due to population aging, insurance expansion, and an increasing prevalence of chronically ill patients. The nurse practitioner (NP) workforce plays a critical role in meeting the growing demands for primary care, particularly in rural and underserved areas. NPs are also more likely to deliver care to clinically and socially complex populations such as high-need high-cost (HNHC) patients. HNHC patients are adults who suffer from multiple chronic conditions and experience additional functional, behavioral, or socioeconomic needs. Despite comprising only 5% of the US population, HNHC patients account for nearly half of total health care expenditures and over 90% of Medicare expenditures. HNHC patients with behavioral health diagnoses such as depression or substance abuse face heightened challenges managing their conditions and consequentially have higher preventable spending and emergency department (ED) utilization compared to the overall HNHC population. Significant policy attention has been placed on enhancing primary care practices as a strategy to improve outcomes and reduce costs in HNHC patients. Structural capabilities are features of primary care practices (e.g., after-hours care or care coordination) which are needed to deliver high quality primary care and chronic disease management. Yet, to date little research has been done on structural capabilities in primary care practices where NPs deliver care to HNHC patients. The overall purpose of this dissertation is to understand how to enhance primary care delivery and structural capabilities to improve outcomes for HNHC patients. We have achieved the following specific aims: (1) Establish a clear definition of HNHC patients, (2) Identify existing primary care and payment models used among HNHC patients and evaluate their impact on ED utilization and costs, (3) Evaluate structural capabilities in NP primary care practices located in Health Professional Shortage Areas (HPSAs), and (4) Analyze the association between NP practice structural capabilities and ED utilization among HNHC patients with behavioral health conditions. Dissertation Chapters and Key Findings Chapter One includes an introduction to the landscape of current primary care delivery, the role of the NP workforce in expanding access, and the unique challenges of delivering care to HNHC patients. This chapter also discusses the conceptual framework guiding the dissertation, the specific aims of each study, and how each study will fill a gap in the literature. Chapter Two (Aim 1) consists of a concept analysis of HNHC patients using the Walker and Avant framework. Three subgroups of HNHC patients were identified: adults over the age of 65 who suffer from multiple chronic conditions with functional or behavioral health needs, the frail elderly, and patients under 65 years old with a serious mental health condition or disability. Antecedents that predispose an individual to becoming a HNHC patient include challenges accessing timely care, low socioeconomic status, or unmet needs. Persistent high spending occurs as a result of poorly managed chronic diseases leading to acute exacerbations, preventable health service utilization, and fragmented care between the acute and primary care settings. Chapter Three (Aim 2) is a systematic review of studies conducted from 2000-2020 on primary care and payment models used with HNHC patients. About half of the primary care models evaluated in the systematic review (11 out of 21 studies) showed no significant difference in ED utilization among HNHC patients. Care coordination and care management (15 out of 21 studies) demonstrated both positive and negative associations with ED utilization and costs. Primary care models that demonstrated significant reductions in ED utilization had shared features, including frequent follow-up, multidisciplinary team-based care, enhanced access, and care coordination. Chapter Four (Aim 3) includes a cross-sectional study of NP survey data from 2018-2019 on practice structural capabilities linked with data on primary care shortages (i.e., HPSA designation). Bivariate analyses and multivariable regression models were used to compare NP characteristics and structural capabilities in HSPA practices compared to non-HPSA practices. The majority of NPs in our sample (61%) delivered care in HPSA practices. NP practices located in HPSAs were significantly more likely to deliver care coordination compared to non-HPSA practices. We found no significant difference in prevalence of registries, after-hours care, or shared communication systems. Chapter Five (Aim 4) is a study of cross-sectional NP survey data from 2018-2019 on practice structural capabilities linked with Medicare Part A and Part B claims to identify HNHC patients and ED utilization. Multivariable Poisson models were used to estimate the association between ED utilization and structural capabilities in practices serving HNHC patients with behavioral health conditions including depression, alcohol use, and substance use disorder. Care coordination was associated with decreased rates of ED utilization among the overall HNHC population and those with alcohol use, but not among HNHC patients with depression or substance use disorders. Shared communication systems were associated with decreased rates of all-cause and preventable ED utilization among HNHC patients with alcohol use and substance use disorders. Chapter 6 is a summary of findings across studies in this dissertation and will present the strengths, limitations, and contributions to science. This chapter will also discuss implications for policy, practice, and directions for future research. Conclusion HNHC patients face complex and wide-ranging medical, social, and behavioral health needs resulting in poor clinical outcomes and high costs. Enhancing primary care is an urgent goal for policymakers to improve disease management while reducing overall costs of care. Findings from these studies demonstrate that NPs practice in underserved areas and are significantly more likely to deliver care coordination in HPSA practices and to HNHC patients with behavioral health conditions. Care coordination has the potential to increase effectiveness of primary care delivery by tailoring models to target specific HNHC patients. Shared communication systems also show promise for improving primary care delivery and reducing ED utilization among HNHC patients with alcohol use and substance use disorders. Future research should continue to explore how structural capabilities may enable NPs to deliver timely, high quality, cost-effective primary care for HNHC patients.

The purpose of this study was to develop a framework for provision of essential medicines for the district health services. A qualitative descriptive, exploratory and contextual action research design was followed. The data collection was conducted through site visits and semi structured interviews targeting the responsible pharmacists who were purposively selected on the basis of their expert knowledge and experiences from the eight of the nine provinces of the Republic of South Africa which is a developing country with limited resources for provision of healthcare services. The study found that there was no standardised framework for provision of essential medicines for the District Health Services. Based on the site visits and action research findings a proposed framework covering the selection, procurement, warehousing, distribution and management support components for provision of essential medicines for district health services was developed and subjected to national pharmaceutical experts and district health services managers review and critique which is finally presented, after taking into consideration the experts inputs as a proposed framework emanating from the study. The proposed framework will contribute towards improving the provisioning and availability of essential medicines within the district health services.
Health Studies
D.Litt. et Phil. (Health Studies)

This research study was initiated by the desire to identify the constraining and enabling factors experienced by environmental health officers (EH Os) and their management in the implementation of environmental health education and promotion programmes in the environmental health sector. The research contextualises the issues of health promotion, the role of education in health promotion, and community-based environmental health service provision with specific reference to the role of the EHO in relation to these issues. The foremost value ofthis study lies in the fact that it profiles the need for change in the delivery of community-based environmental health education and promotion programmes and identifies distinctive policy changes and skills development needs in the field of environmental health promotion which are central to improved and sustainable community-based environmental health education and promotion.
Educational Studies
M. Ed. (Environmental Education)

Indiana University-Purdue University Indianapolis (IUPUI)
Oral health is crucial to overall health and a focus of the U.S. Health Center program, which provides preventive dental services in medically underserved communities. Dental hygiene is an oral health profession whose practice is focused on dental disease prevention and oral health promotion. Variations in the practice and regulation of dental hygiene has been demonstrated to influence access to dental care at a state level; restrictive policies are associated lower rates of access to care. Understanding whether and to what extent policy variations affect availability and access to dental care and the oral health of medically underserved communities served by grantees of the U.S. Health Center program is the focus of this study. This longitudinal study examines dental service utilization at 1,135 health center grantees that received community health center funding from 2004 to 2011. The Dental Hygiene Professional Practice Index (DHPPI) was used as an indicator of the state policy environment. The influence of grantee and state level characteristics are also considered. Mixed effects models were used to account for correlations introduced by the multiple hierarchical structure of the data. Key findings of this study demonstrate that state policy environment is a predictor of the availability and access to dental care and the oral health status of medically underserved communities that received care at a grantee of the U.S. Health Center program. Grantees located in states with highly restrictive policy environments were 73% less likely to deliver dental services and, those that do, provided care to 7% fewer patients than those grantees located in states with the most supportive policy environments. Population’s served by grantees from the most restrictive states received less preventive care and had greater restorative and emergency dental care needs. State policy environment is a predictor of availability and access to dental care and the oral health status of medically underserved communities. This study has important implications for policy at the federal, state, and local levels. Findings demonstrate the need for policy and advocacy efforts at all levels, especially within states with restrictive policy environments.