Distance Matters: Investigating No-Shows in a Large Rural Provider Network.

Background/Objective: No-shows have a negative effect on healthcare outcomes. It is unclear, however, whether patients' distance from the clinic is associated with higher no-show rates. To fill this knowledge gap, we examined the relationship between patients' distance from the clinic and no-shows in a rural provider network.Methods: Data from Marshfield Clinic Health System's scheduling system, including 263,464 recent patient appointments in 2021 were analyzed. The outcome was no-shows, defined as when patients missed an appointment (categorized as yes/no). The exposure was the distance to the clinic, measured in miles as a straight-line distance from the clinic in the patient's zip code to the facility where the appointment was held (classified as <5 miles, 5-10, 10-20; >20, and used as continuous). Covariates were patient demographics, appointments, providers, and insurance status. Chi-square and logistic regression were used with p-values ≤.05 considered statistically significant.Results: The no-show rate was 8.0%. Patients who lived <5 miles (8.3%) and >20 miles (8.2%) from the clinic had higher no-show rates than those who lived between 10-20 miles (8.0%) and 5-10 miles (7.6%), at P=0.001. In the adjusted model, the odds of no-show were similar between patients who did not show and those who did (OR:1.00,95%CI:1.00-1.00). No-shows were more likely among male patients compared to females (OR:1.14,95%CI:1.11-1.18), Spanish compared to English speakers (OR:1.34,95%CI:1.20-1.50), prior no-show compared to no prior no-show (OR:4.42,95%CI:4.27-4.48), >4 weeks lead time compared to <1 day (OR:5.45,95%CI:4.98-5.97), and Medicaid compared to non-Medicaid patients (OR:1.56,95%CI:1.49-1.63).Conclusion: Our analysis showed patients who lived <5 miles and >20 miles from the clinic had higher no-show rates. The odds of a no-show were comparable between patients who showed up and those who did not. Male patients, Spanish-speaking patients, patients with a history of no-shows, and Medicaid beneficiaries were more likely to miss their appointments. Understanding the impact of these variables on no-show rates can assist healthcare providers in developing strategies to improve patient access and reduce no-show rates. These findings imply that rural patients may face a variety of barriers when seeking healthcare, necessitating a comprehensive approach to addressing this issue.

Secret Shopper Analysis Shows Getting Psychiatry Appointment in New York City is Well Kept Secret.

OBJECTIVE: The Mental Health Parity and Addiction Equity Act prevents payors from imposing more stringent limitations on mental health and substance disorder benefits than medical and surgical benefits. In this study, we assess a New York City insurer's parity compliance based on the accuracy and validity of network-provided information and a consider legal framework to address this. METHODS: A "secret shopper" analysis was performed, in which researchers attempted to contact the 192 psychiatrist providers listed in the 2019 online directory of United Healthcare psychiatry providers. RESULTS: Only 3.1% of calls resulted in researchers booking an appointment. 50.5% of calls resulted in "no response", 18.75% connected to psychiatrists not accepting new patients, and 8.8% of listed providers stated they were not in the United Healthcare network. CONCLUSIONS: Erroneous directory information exacerbates the issue of access to mental health treatment. Enforcement policy should hold insurers accountable for the reliability of their online directories.

(How) is COVID-19 reframing interaction between the NHS and private healthcare?

In March 2020 a 'major deal' was struck between the National Health Service (NHS) and private healthcare sector to facilitate 'crisis' and 'continuity' responses to COVID-19. A further deal was struck in January 2022 to support the NHS in tackling the Omicron variant, suggesting that the pandemic was evolving, rather than definitively over. The legal basis for these deals was a Public Policy Exclusion Order, a temporary relaxation mechanism in UK competition law defined by a 'disruption period'. In a global pandemic, the 'healthcare disruption period' might be considered to be of a different scope and nature to short-term disturbances experienced in other sectors, such as groceries. This article examines the Public Policy Exclusion Orders issued in respect of health services in England and Wales, and the Collective Agreements notified under these between March 2020 and March 2021, and again in March 2022. Amid ongoing tensions surrounding 'NHS privatisation', this enables a timely analysis of whether the underlying relationship between the NHS and private healthcare may be changing in response to COVID-19, and how considerations of ethical frameworks are also relevant to this aspect of the pandemic response.

Patterns of Upper Extremity Reconstruction for Patients With Tetraplegia Across the United States: A Retrospective Study.

PURPOSE: The rates of upper extremity reconstruction for patients with tetraplegia remain low. We performed a retrospective study to assess recent reconstruction rates and delineate factors associated with the occurrence of reconstruction. METHODS: We examined the National Inpatient Sample database (2012-2017) for the rate of reconstruction for patients with tetraplegia. The details of provider distribution characteristics and neighborhood attributes were obtained from the American Medical Association Physician Masterfile and based on the area deprivation index, respectively. We calculated the mean reconstruction rate per year and generated multivariable logistic regression models to examine the influence of patient factors, hospital characteristics, and provider distribution on the odds of undergoing functional reconstruction for tetraplegia patients. RESULTS: Among 404,660 encounters with patients with tetraplegia, only 1,430 (0.4%) patients underwent upper extremity reconstruction from 2012 to 2017, with a mean rate of 238 procedures per year. We identified 5,450 hand surgeons, 12,751 physiatrists, and 444 spinal cord injury specialists, with variation in their national distribution. A greater number of surgeons near SCIS was associated with increased probability of reconstruction (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.03-1.12). The odds of surgery were greater for patients receiving care at urban teaching (OR 5.00, 95% CI 3.35-7.47) or urban nonteaching (OR 1.71, 95% CI 1.11-2.63) hospitals, whereas those at private nonprofit (OR 0.67, 95% CI 0.58-0.78) or investor-owned (OR 0.65, 95% CI 0.52-0.82) hospitals had lower odds. Although most patients had insurance coverage, patients with a higher income or those who received subsidized care had greater odds of undergoing reconstruction. CONCLUSIONS: Reconstruction rates remain low and are correlated with the environment of care, financial factors, and provider availability. Policies that focus on reducing these factors in addition to increasing interspecialty collaboration could improve access to surgery for patients with tetraplegia. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic I.

Shared-patient physician networks and their impact on the uptake of genomic testing in breast cancer.

BACKGROUND: Factors influencing the adoption of genomic testing are poorly understood, which may lead to inequitable and suboptimal treatment in cancer patients. Oncotype DX (ODX) is one of the first and most widely used genomic assays to stratify risk in women with early-stage breast cancer (BC). Physician networks have emerged as a significant and modifiable driver of emerging medical technology adoption. OBJECTIVE: To investigate the association between physician network connections and the use of ODX testing. METHODS: A retrospective study of women diagnosed with BC using SEER-Medicare from 2008 to 2012 was used. Medical oncologists were "connected" if they shared two or more patients during the early-adoption period (2008-2009). Parallel physician- and patient-level analyses employed logistic mixed models to determine the impact of being "connected" to an early-adopting oncologist on ODX use in 2011-2012. RESULTS: 24,463 women met study criteria; 12,874 were diagnosed with BC in the early-adoption time period. 2129 medical oncologists treated these patients from 2008 to 2009. Medical oncologists had a median number of peer connections of 4 (IQR: 2-7). Peer connection to an early-adopting provider in 2008-2009 was associated with a 1.7-fold increase in providers' adopting ODX (95% CI: 1.1-2.6) and a 1.5-fold increase in their patients receiving ODX (95% CI: 1.1-2.0) in 2010-2012. CONCLUSIONS: Peer connectedness to an early-adopting physician predicts ODX adoption in both physician-level and patient-level analyses. Provider networks may provide a potent and modifiable means to modulate the diffusion of emerging medical technologies. Efforts to increase testing, where appropriate, may benefit from peer-to-peer-based connection strategies.

Medicare Advantage plan characteristics associated with sorting their beneficiaries to providers that generate fewer avoidable hospital stays.

OBJECTIVE: To examine whether certain Medicare Advantage (MA) plan characteristics are associated with driving beneficiaries to providers that generate fewer avoidable hospital stays. DATA SOURCES: This paper primarily used 2018-2019 MA encounter data and traditional Medicare (TM) claims data for a nationally representative 20% sample of Medicare beneficiaries. STUDY DESIGN: For each plan design aspect-plan type, carrier, star rating, and network breadth-we estimated two adjusted Poisson regressions of avoidable hospital stays: one without clinician fixed effects and the other with. We calculated the difference between the coefficients to evaluate the extent to which patient sorting affected avoidable hospital stays relative to TM. DATA EXTRACTION METHODS: Our sample included Medicare beneficiaries 65 years and older who were continuously enrolled in either MA or TM during 2018-2019. Beneficiaries in our sample had one or more chronic, ambulatory care-sensitive conditions. PRINCIPAL FINDINGS: Patient sorting can be attributed to certain characteristics of plan design aspects. For plan type, HMOs account for 86%, with PPOs accounting for only 14%. For carriers, Humana and smaller carriers account for 89%. For star ratings, high-star contracts account for 94%, with other stars only accounting for 6%. By network design, narrow network plan-counties explained 20% of the patient sorting effect. CONCLUSIONS: While MA plans were found to be associated with driving beneficiaries to providers that generate fewer avoidable hospital stays, the effect is not homogeneous across the characteristics of MA plans. HMOs and high-star contracts are drivers of this MA phenomenon.

Evolution and lessons from an integrated service delivery network in North West Syria.

BACKGROUND: Northwest Syria (NWS) is a complex and extremely fragile operating environment, with more than 2.8 million people needing humanitarian assistance. To support a common standard of care delivery and enable coordination among the multiple providers in NWS, WHO developed an Essential Health Services package (EHSP) in 2016-17 and subsequently supported a facility network model to deliver the EHSP. This article provides an evaluation of the network to date, aiming to inform further development of the network and draw wider lessons for application of similar approaches in complex emergency settings. METHODS: This mixed method study included document review, participatory, qualitative and quantitative data, gathered in the first half of 2021. Participatory data came from two group model building workshops with 21 funders and implementers. Semi-structured interviews with 81 funders, health professionals and community members were also conducted. Analyses of the workshops and interviews was inductive, however a deductive approach was used for synthesising insights across this and the document review. The final component was a survey of health providers (59 health care professionals) and service users (233 pregnant women and 214 persons living with NCDs) across network and other comparable facilities, analysed using routine descriptive and inferential statistics. Findings across all methods were triangulated. RESULTS: The study finds that the network and its accompanying essential service package were relevant to the dynamic and challenging context, with high but shifting population needs and multiple uncoordinated providers. Judged in relation to its original goals of comprehensive, coordinated services, equitable access and efficient service delivery, the data indicate that gains have been made in all three areas through the network, although attribution is challenging, given the complex environment. The context remains challenging, with shifting boundaries and populations displaced by conflict, difficulties in retaining staff, the need to import medicines and supplies across borders, and governance gaps. CONCLUSION: This study adds to a very limited literature on coordinated network approaches used to raise care quality and improve referrals and efficiency in a complex emergency setting. Although areas of ongoing challenge, including for sustainability, are noted, the network demonstrated some resilience strategies and can provide lessons for other similar contexts.

Resilience, Well-being, and Empathy Among Private Practice Physicians and Advanced Practice Providers in Texas: A Structural Equation Model Study.

OBJECTIVE: To investigate structural relationships of latent constructs such as occupational wellbeing, resilience, work meaningfulness, and psychological empowerment with affective and cognitive clinical empathy among a community of physicians and advanced practice providers. METHODS: We conducted a cross-sectional observational study. We gathered data by an anonymous self-administered multidimensional questionnaire disseminated electronically between March and May 2016. Participants were physicians and advanced practice providers belonging to the Health Texas Provider Network, a group private practice affiliated with the Baylor Scott and White Health system. We excluded allied health care staff (eg, nurses) and trainees (eg, residents, medical students). We pursued a 3-step strategy: (1) confirmatory factor analysis of a theory-driven measurement model, (2) a modified structural equation model from which pathways with nonsignificant path coefficients were deleted, and (3) multigroup analyses of the modified model. RESULTS: Cognitive empathy was the strongest predictor of affective empathy. We observed modest positive associations of resilience with cognitive and affective empathy and of well-being and meaning with affective but not with cognitive empathy. Resilience, meaning, and psychological empowerment were surprisingly negatively associated with well-being, suggesting diminished self-care among practitioners. Effects of psychological empowerment on empathy and well-being were mediated by resilience and meaning. CONCLUSION: Cognitive empathy directly influenced affective empathy; well-being and meaningfulness exerted direct positive effects on affective but not on cognitive empathy, whereas resilience had direct positive associations with both empathy dimensions. Resilience and meaning manifested direct, negative associations with well-being, revealing clinicians' disproportionate focus on patient care at the expense of self-care.

What are consumers willing to pay for a broad network health plan?: Evidence from covered California.

Health Insurance Marketplaces have received considerable attention for their narrow network health plans. Yet, little is known about consumer tastes for network breadth and how they affect plan selection. I estimate demand for health plans in California's Marketplace, Covered California. Using 2017 individual enrollment data and provider network directories, I develop a geospatial measure of network breadth that reflects the physical locations of households and network providers. I find that households are sensitive to network breath in their plan choices. Mean willingness to pay for a broad network plan relative to a narrow network plan, defined as a two standard deviation, 17.44 percentage point increase in network breadth, is $45.83 in post-subsidy monthly premiums. Variation in WTP indicates a selection mechanism exists whereby older households sort into broader network plans. I also find that households are highly premium sensitive, which may be a result of plan standardization in Covered California.

The Effects of Medicare Advantage Contract Concentration on Patients' Nursing Home Outcomes.

OBJECTIVE: The Medicare Modernization Act of 2004 allowed Medicare Advantage (MA) contracts to form provider networks in order to concentrate their patients among preferred providers. We focus on the skilled nursing facility (SNF) industry to assess patients' health when treating SNFs concentrate more patients from the same MA contract. DATA SOURCES/STUDY SETTING: We use Medicare Beneficiary Summary File and Health, HEDIS, and the Minimum Data Set for patient attributes and OSCAR, LTCfocus.org, and Nursing Home Compare for SNF attributes. We include 1,069,436 MA enrollees newly admitted to SNF between 2012 and 2014. STUDY DESIGN: Using a MA contract fixed-effect model, we examine the effect of prevalence of a patient's MA contract in the treating SNF on patient's health outcomes including 180-day survival, 30-day hospital readmission, 30-day home discharge, and nursing home length of stay. We use an Instrumental Variable (IV), the expected share of admissions in a SNF from patient's MA contract calculated using a McFadden choice model. PRINCIPAL FINDINGS: We find no relationship between SNF contract concentration and patients' outcomes after applying the IV. CONCLUSIONS: While MA plans appear to steer patients to specific SNFs, we do not observe significant returns to patient outcomes related to concentration.

Understanding inter-organizational trust among integrated care service provider networks: A perspective on organizational asymmetries.

OBJECTIVE: To explore the factors that influence trust among the integrated healthcare service provider network in the context of seeking combined health and care services in the UK. DATA SOURCES/STUDY SETTING: Primary data were collected from three regional integrated care service provider networks from March 2016 to October 2017. STUDY DESIGN: Explorative qualitative study and inductive methods from emerging findings. DATA COLLECTION/EXTRACTION METHODS: We conducted qualitative semi-structured interviews in three care networks and collected organizational documents from local integration boards from 2016 to 2017. Thematic analysis was performed in three large care networks with hospital staff, local councils, integration boards, and community and voluntary organizations under the NHS England Better Care Fund. PRINCIPAL FINDINGS: Our findings reveal that trust among integrated care service provider networks is influenced by the following factors on various asymmetries: 1) recognition and knowledge asymmetries among care service partners of each other's skills, expertise and capabilities; 2) capacity and financial imbalances within the network; and 3) organizational differences in management, culture and attitudes toward change. CONCLUSION: There is a need to improve competence recognition and capacity imbalances and to foster open minds toward change within networks to build trust to overcome divisions and facilitate integrated services among health and care organizations.

Impact analysis of regulatory regime options for integrated health care provider networks in the Philippines

Background@#The enactment of the Philippine Universal Health Care (UHC) Act mandates the formation of Integrated Health Care Provider Networks (IHCPN), linking hospitals and health facilities, which includes government and privately-owned primary care providers. While hospitals and some health facilities are already under government regulation, primary care providers have not been subjected to formal licensing requirements. In this changing service delivery model, the possible impact of three regulatory policy options being considered need to be assessed according to the goal of ensuring that health services remain affordable and are of high quality.@*Methodology@#A multi-method approach to regulatory impact analysis (RIA) systematically assessed three regulatory options: 1) one Department of Health (DOH) license per hospital and health facility (status quo); 2) one DOH license for all public hospitals and health facilities within an IHCPN and another for individual private hospitals and health facilities; and 3) one DOH license per individual hospital and health facility, and one DOH certification issued to individual hospitals and health facilities as part of an IHCPN. Information from literature, documents, focus group discussions, and cost analyses were triangulated.@*Results@#Regulators are faced with two main risks: there is no standard for networked health care delivery that could provide a foundation for regulation, and provider participation is voluntary, which could lower the interest of private providers to integrate. The three regulatory options considered these risks. Option 1 requires the least change in regulatory policy, but is expected to increase costs to regulators due to the expansion of licensing and enforcement work covering primary care providers. Option 2 requires the most change in regulatory policy, but may be the least expensive to enforce, especially if all facilities join a network. This can also be preferred in a setting with existing interlocal health zones, and participation in the network by private providers poses the most challenge. Option 3 is a tiered regulatory set up that projects the highest cost to regulators as a result of both establishing new certification standards and guidelines on top of a wider scope for enforcement.@*Conclusion@#This is the first RIA conducted for the Philippine health system, with challenges similar to those experienced in developing countries. Across the three pre-determined regulatory models, the least costly option may not be the easiest to mount and enforce. Implementability appears to be a stronger consideration which seems to be hinged to the option requiring incremental rather than large form of changes.

Atenção primária à saúde como ordenadora de um modelo de integração assistencial na rede de urgência e emergência / Primary health care as coordinator of a caring integration model for the emergency care network

Esta pesquisa teve como objetivo geral: Elaborar uma proposta de modelo assistencial de intervenção com vistas à melhoria da integração entre a Unidade de Saúde e a Unidade de Pronto Atendimento, tendo a Atenção Primária à Saúde como ordenadora da Rede de Urgência e Emergência. Como objetivos específicos buscou-se: analisar os fluxos entre a US e a UPA; e, identificar como os profissionais das US, da UPA e os gestores definem as funções de cada equipamento que compõe a rede de atenção à urgência/emergência do município. Trata-se de uma pesquisa de abordagem qualitativa, do tipo descritivo e exploratório. A pesquisa compôs-se das seguintes etapas: etapa de aproximação com o campo de pesquisa; coleta de dados principal; elaboração do modelo assistencial de integração entre as US e a UPA. A coleta de dados da etapa de aproximação com o campo de pesquisa foi realizada com 17 usuários que aguardavam atendimento em uma UPA, durante duas rodas de conversa no mês de outubro de 2014; e, com 16 enfermeiros, 12 médicos e 21 gestores da Secretaria Municipal de Saúde do município de Curitiba -PR na etapa de coleta de dados principal por meio de entrevistas com roteiro semiestruturado, posteriormente gravadas e transcritas. O processamento e análise dos dados da etapa prévia foram feitos a partir dos registros das rodas de conversas transcritos pelas observadoras e sistematizados pela pesquisadora, que conduziu a análise a partir dos temas identificados, classificando-os em duas categorias: dificuldade de acesso à US e compreensões sobre as atribuições da US e UPA. Para processamento dos dados das entrevistas foi utilizado o software IRAMUTEQ, que faz cálculos estatísticos sobre dados qualitativos. Em função da frequência dos vocábulos e do valor do qui-quadrado igual ou superior a 3.84, os dados foram classificados em quatro classes: comunicação formal e informal na organização do sistema de saúde, acesso da população aos serviços de saúde, a integração entre a US e UPA e funções da US e da UPA na rede de atenção à saúde. A elaboração do Modelo Assistencial de Integração entre a US e a UPA apresenta duas propostas: a primeira proposta está relacionada à mudança no processo de trabalho da US e UPA, e a segunda proposta envolve maior mudanças estruturais, ambos assumem a APS como ordenadora do cuidado. Conclui-se que a integração entre US e a UPA encontra-se frágil, fragmentada e desarticulada; o processo de trabalho da APS organiza-se de forma rígida, seletiva e com barreiras de acesso aos usuários, que procuram pela UPA quando necessitam de atendimento. Os resultados permitem visualizar que a dificuldade de comunicação e integração entre a APS e UPA está relacionada a uma sobreposição de funções e que é necessário reorganizar o modelo da rede de atenção à saúde, considerando os atributos da APS e as necessidades dos usuários.

This research study had as general objective: to elaborate a proposal of a caring intervention model in order to improve the integration between the Health Care Unit and the Emergency Care Unit (ECU) with the Primary Health Care as coordinator for the Emergency Care Network. As specific objectives, it aimed: to analyze flows between the Health Care Unit and the ECU; and to apprehend how Health Care Unit as well as ECU professionals and managers define the functions of each unit that comprises emergency health care network in the municipality. It is a descriptive-exploratory, qualitative research study. The study encompasses the following steps: approaching step with the research field; main data collection; elaboration of a health care integration model between the health care units and the ECU. Data collection in the approaching step with the research field was held with 17 users waiting for care delivery at an ECU, during two rounds of conversation in October, 2014; and with 16 nurses, 12 doctors and 21 managers of the Municipal Secretary of Health from the municipality of Curitiba -Paraná State, Brazil, during the main data collection by means of semi-structured interviews, recorded and further transcribed. Data process and analysis of the first step were carried out from records of the conversation rounds transcribed by the observers and systematized by the researcher, who carried out the analysis from the identified themes, classifying them in two categories: access difficulty to a Health Care Unit and understandings on the attributions of Health Care Units and ECUs. IRAMUTEQ software, which performs statistical calculations of qualitative data, was used for processing the data from the interviews. Due to the word frequency and chi-square ? 3.84, data were classified in four classes: formal and informal communication in the health system organization, population access to health care services, integration between Health Care Unit and ECU, and Health Care Unit and ECU functions in the health care network. The elaboration of the Health Care Integration Model between the Health Care Unit and the ECU features two proposals: the first proposal is related to the change in Health Care Unit and ECU work process, and the second proposal entails major structural changes, both assuming Primary Health Care as the care manager. It can be concluded that the integration between the Health Care Unit and the ECU is fragile, fragmented and disarticulated; Primary Health Care work process is organized in a rigid, selective way, with access hurdles to the users who reach for the ECU for care delivery. Results enable to apprehend that the difficulty of communication and integration between the Primary Health Care and ECU is related to a function overlap, being necessaryto reorganize the heath care network model by considering Primary Health Care attributes as well as users' needs.