It's who you know: patient-sharing, quality, and costs of cancer survivorship care

A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research

Social network analysis is the study of the structure of relationships between social entities. Access to health care administrative datasets has facilitated use of "patient-sharing networks" to infer relationships between health care providers based on the extent to which they have encounters with common patients. The structure and nature of patient-sharing relationships can reflect observed or latent aspects of health care delivery systems, such as collaboration and influence. We conducted a scoping review of peer-reviewed studies that derived patient-sharing network measure(s) in the analyses. There were 134 papers included in the full-text review. We identified and created a centralized resource of 118 measures and uncovered three major themes captured by them: Influential and Key Players, Care Coordination and Teamwork, and Network Structure and Access to Care. Researchers may use this review to inform their use of patient-sharing network measures and to guide the development of novel measures.

Rural-Urban Differences in Patient-Sharing by Clinicians Caring for Children with Medical Complexity: Network Analysis of the Pediatric Workforce in Three States

OBJECTIVE

To examine rural-urban differences in the clinician workforce caring for children with medical complexity (CMC) in ambulatory settings and to determine how measures of clinician patient-sharing differ for rural- and urban-residing CMC.

STUDY DESIGN

We analyzed Massachusetts, New Hampshire, and Colorado all-payer claims data from 2012 through 2017 to identify CMC and their clinicians. We assembled patient-sharing networks in which clinicians were connected on the basis of having encounters with common pediatric patients. We evaluated rural-urban differences in CMC care team size, composition (ie, which specialists were included), and care density (ie, extent to which a CMC's care team shared patients) and network measures of primary care clinician (PCC) centrality (eg, number of patient-sharing relationships).

RESULTS

Analysis included 107 692 CMC, of whom 7065 (7.0%) were rural-residing and 100 627 (93.0%) were urban-residing. Rural-residing CMC had lower relative risk of having a PCC specialized in pediatrics (relative risk 0.81, 95% CI 0.73-0.89) compared with urban-residing CMC. Despite having similarly sized care teams, rural-residing CMC had substantially lower care density (median [IQR] = 21.6 [7.9, 72.8]) compared with urban-residing CMC (median [IQR] = 48.3 [13.0, 158.7]). Rural PCC were less central in the networks and had a greater percentage of connections with advanced practice providers compared with their urban counterparts (median [IQR] = 19.2 [14.3, 24.5] vs 14.3 [7.5, 23.4]).

CONCLUSIONS

Our study provides new insight into the clinicians and teams caring for CMC. Rural-residing CMC were more likely to receive care from clinicians with fewer connections and lower care density, reflecting fewer shared patients within the team. Programs supporting care of CMC may benefit from recognizing rural-urban differences in team composition and relationships between clinicians.

Analysis of the patient-sharing network in hypertension management: a retrospective study in China

OBJECTIVE

To explore the robustness of the patient-sharing network and validate the association between strength and persistence of physicians' relationships in China.

DESIGN, SETTING AND PARTICIPANTS

We conducted a patient-sharing network analysis to describe the persistence of patient-sharing relationships and logistic regression to analyse factors associating with the persistence of patient-sharing relationships in the Yinzhou Health Information System from 1 January 2010 to 31 December 2018; all outpatient records that had a hypertension diagnosis were included in this study.

OUTCOME MEASURES

The persistence ratio was defined as the proportion of the patient-sharing relationships in a given year that continued to exist in the following year, the 1-, 2- and 3-year persistence to test the robustness of the findings.

RESULTS

This study included 3916 physicians from 42 public healthcare facilities in Yinzhou. The 1-year persistence ratio fluctuated around 80%, and the 3-year persistence ratio was around 60% over the study period. The strength of the relationship, tie characteristics and physician specialty were important factors associating with the persistence of the relationships. The persistence of the relationships increased significantly as the strength of the relationships increased (for relationships with strength ∈ [3, 5), OR=3.987, 95% CI 3.896 to 4.08; for relationships with strength ∈ [5, 7), OR=6.379, 95% CI 6.147 to 6.626; and for relationships with strength ∈ [7, 9), OR=8.373, 95% CI 7.941 to 8.829). Physicians from the same healthcare institution were more likely to form ties that persisted for at least 1 year compared with physicians from different institutions (OR=1.510, 95% CI 1.480 to 1.540).

CONCLUSIONS

Our study showed that physicians frequently formed relationships with other physicians through sharing patients in Yinzhou, China, and these relationships had similar rates of persistence to studies conducted in developed countries, which indicated that findings of social network analyses conducted in developed countries still hold value in developing countries.

Oncology Physician Turnover in the United States Based on Medicare Claims Data

OBJECTIVE

Physician turnover rates are rising in the United States. The cancer workforce, which relies heavily on clinical teamwork and care coordination, may be more greatly impacted by turnover. In this study, we aimed to characterize oncologists who move to identify targets for recruitment and retention efforts.

METHODS

We identified medical, radiation, and surgical oncologists who treated Medicare beneficiaries diagnosed with breast, colorectal, or lung cancer in 2016-2019. We used multivariable logistic regression to identify physician-level and multivariable multinomial regression to identify region-level characteristics associated with turnover. Measures included demographic, practice, and patient-sharing network characteristics.

RESULTS

Our cohort included 25,012 medical, radiation, and surgical oncologists, of which, 1448 (5.8%) moved. Women [vs men; odds ratio (OR): 1.46; 95% CI: 1.30-1.64] and surgeons (vs medical oncologists; OR: 1.17; 95% CI; 1.04-1.33) had higher odds of moving. Compared with oncologists with moderate patient-sharing ties, those with many ties had lower odds of moving (OR: 0.55; 95% CI: 0.43-0.70). Patient-sharing networks with low efficiency (vs moderate) were more likely to have a net loss in their oncology workforce (OR: 3.06; 95% CI: 1.12-8.35), whereas those with low specialist vulnerability (vs moderate) were less likely to have a net loss (OR: 0.32; 95% CI: 0.1-0.99).

CONCLUSIONS

This study identified novel patient-sharing network characteristics associated with turnover, providing new insights into how the structural features of patient-sharing networks may be related to the recruitment and retention of oncologists.

Associations of care continuity and care coordination with the overuse of healthcare services: a nationwide population-based study

BACKGROUND

Care continuity and care coordination have received increased attention as important ways of decreasing overuse/low-value care. Prior research has verified an association between care continuity and overuse or an association between care coordination and overuse. However, little is known about the relative influences of care continuity and care coordination on overuse. We used nationwide population-based data from Taiwan to examine the relative associations of care continuity and care coordination with overuse.

METHODS

We analyzed 1,462,960 beneficiaries in 2015 randomly sampled from all people enrolled in the Taiwan National Health Insurance. Having adjusted for patient characteristics, the multivariable logistic regression model was used to examine the associations of the Continuity of Care (COC) Index and care density on overuse, using a previously validated set of 18 potentially low-value care services.

RESULTS

Higher COC index was associated with lower overuse (low vs. medium: odds ratio [OR], 1.11; 95% confidence interval [CI], 1.09-1.12; high vs. medium: OR, 0.80; 95% CI, 0.795-0.813). Higher care density was associated with lower overuse (low vs. medium: OR, 1.01; 95% CI, 1.001-1.024; high vs. medium: OR, 0.88; 95% CI, 0.87-0.89).

CONCLUSIONS

Increased care continuity and care coordination are associated with decreased overuse. Facilitating care continuity and care coordination may be an important strategy for reducing overuse/low-value care.

Lack of Regular Access to Primary Care Physician Associated With Increased Emergency Department Visits Related to Survivorship Needs Among Rectal Cancer Survivors

BACKGROUND

With advances in rectal cancer management and improved prognosis, there is a growing number of rectal cancer survivors with unique needs.

OBJECTIVES

We hypothesized that a significant proportion of our rectal cancer survivors lack regular access to a primary care physician. Our study aimed to examine the association between access to a primary care physician and survivorship-related emergency department visits.

DESIGN

Retrospective cohort study of rectal cancer survivors who have finished all treatment.

PATIENTS

Patients with rectal cancer who underwent proctectomy and completed treatment from 2005 to 2021.

SETTING

Single tertiary care center in Quebec, Canada.

MAIN OUTCOME MEASURE

Survivorship-related emergency department visits.

RESULTS

In total, 432 rectal cancer survivors were included. The median age was 72 (interquartile range, 63-82) years, 190 (44.0%) were women, and the median Charlson Comorbidity Index was 5 (interquartile range, 4-6). There were 153 individuals (35.4%) not registered with a primary care physician. Sixty individuals visited the emergency department due to survivorship-related concerns. Using Cox proportional hazards analysis, lack of registration to primary care physicians was associated with a higher probability of having survivorship-related emergency department visits.

LIMITATIONS

This study was limited by observational design.

CONCLUSIONS

Lack of regular access to primary care physicians may contribute to increased emergency department visits among rectal cancer survivors. Efforts to improve access to a primary care physician and coordinate interdisciplinary care are needed to improve care for survivors. See Video Abstract.

LA FALTA DE ACCESO REGULAR A UN MDICO DE ATENCIN PRIMARIA SE ASOCIA CON UN AUMENTO DE VISITAS AL DEPARTAMENTO DE EMERGENCIA RELACIONADAS CON LAS NECESIDADES DE SUPERVIVENCIA ENTRE LOS SOBREVIVIENTES DE CNCER DE RECTO

ANTECEDENTES:Con los avances en el tratamiento del cáncer de recto y el mejor pronóstico, hay un número creciente de sobrevivientes de cáncer de recto con necesidades únicas.OBJETIVOS:Presumimos que una proporción significativa de nuestros sobrevivientes de cáncer de recto carecen de acceso regular a un médico de atención primaria. El objetivo de nuestro estudio fue examinar la asociación entre el acceso a un médico de atención primaria y las visitas al departamento de emergencias relacionadas con la supervivencia.DISEÑO:Estudio de cohorte retrospectivo de supervivientes de cáncer de recto que finalizaron todo el tratamiento.PACIENTES:Pacientes con cáncer de recto que se sometieron a proctectomía y completaron el tratamiento entre 2005 y 2021.ESCENARIO:Centro único de atención terciaria en Quebec, Canadá.MEDIDA DE RESULTADO PRINCIPAL:Visitas al departamento de emergencias relacionadas con la supervivencia.RESULTADOS:En total, se incluyeron 432 sobrevivientes de cáncer de recto. La mediana de edad fue 72 (rango intercuartil 63-82) años, 190 (44,0%) eran mujeres y la mediana del índice de comorbilidad de Charlson fue 5 (rango intercuartil, 4-6). Había 153 (35,4%) personas no registradas con un médico de atención primaria. Sesenta personas visitaron el departamento de emergencias debido a preocupaciones relacionadas con la supervivencia. Utilizando el análisis de riesgos proporcionales de Cox, la falta de registro con un médico de atención primaria se asoció con una mayor probabilidad de tener visitas al departamento de emergencias relacionadas con la supervivencia.LIMITACIONES:Este estudio estuvo limitado por el diseño observacional.CONCLUSIÓN:La falta de acceso regular a un médico de atención primaria puede contribuir al aumento de las visitas al departamento de emergencia entre los sobrevivientes de cáncer de recto. Se necesitan esfuerzos para mejorar el acceso al médico de atención primaria y coordinar la atención interdisciplinaria para mejorar la atención a los sobrevivientes. (Traducción-Dr. Felipe Bellolio).

Surgeon and Care Team Network Measures and Timely Breast Cancer Treatment

Importance

Cancer treatment delay is a recognized marker of worse outcomes. Timely treatment may be associated with physician patient-sharing network characteristics, yet this remains understudied.

Objective

To examine the associations of surgeon and care team patient-sharing network measures with breast cancer treatment delay.

Design, Setting, and Participants

This cross-sectional study of Medicare claims in a US population-based setting was conducted from 2017 to 2020. Eligible participants included patients with breast cancer who received surgery and the subset who went on to receive adjuvant therapy. Patient-sharing networks were constructed for treating physicians. Data were analyzed from September 2023 to February 2024.

Exposures

Surgeon linchpin score (a measure of local uniqueness or scarcity) and care density (a measure of physician team familiarity) were assessed. Surgeons were considered linchpins if their linchpin score was in the top 15%. The care density of a patient's physician team was calculated on preoperative teams for surgically-treated patients and postoperative teams for adjuvant therapy-receiving patients.

Main Outcomes and Measures

The primary outcomes were surgical and adjuvant delay, which were defined as greater than 60 days between biopsy and surgery and greater than 60 days between surgery and adjuvant therapy, respectively.

Results

The study cohort included 56 433 patients (18 004 aged 70-74 years [31.9%]) who were mostly from urban areas (44 931 patients [79.6%]). Among these patients, 8009 (14.2%) experienced surgical delay. Linchpin surgeon status (locally unique surgeon) was not statistically associated with surgical delay; however, patients with high preoperative care density (ie, high team familiarity) had lower odds of surgical delay compared with those with low preoperative care density (odds ratio [OR], 0.58; 95% CI, 0.53-0.63). Of the 29 458 patients who received adjuvant therapy after surgery, 5700 (19.3%) experienced adjuvant delay. Patients with a linchpin surgeon had greater odds of adjuvant delay compared with those with a nonlinchpin surgeon (OR, 1.30; 95% CI, 1.13-1.49). Compared with those with low postoperative care density, there were lower odds of adjuvant delay for patients with high postoperative care density (OR, 0.77; 95% CI, 0.69-0.87) and medium postoperative care density (OR, 0.85; 95% CI, 0.77-0.94).

Conclusions and Relevance

In this cross-sectional study of Medicare claims, network measures capturing physician scarcity and team familiarity were associated with timely treatment. These results may help guide system-level interventions to reduce cancer treatment delays.

A flexible approach to measure care coordination based on patient-sharing networks

BACKGROUND

Effective care coordination may increase clinical efficiency, but its measurement remains difficult. The established metric "care density" (CD) measures care coordination based on patient-sharing among physicians, but it may be too rigid to generalize across disorders and countries. Therefore, we propose an extension called fragmented care density (FCD), which allows varying weights for connections between different types of providers. We compare both metrics in their ability to predict hospitalizations due to schizophrenia.

METHODS

We conducted a longitudinal cohort study based on German claims data from 2014 through 2017 to predict quarterly hospital admissions. 21,016 patients with schizophrenia from the federal state Baden-Württemberg were included. CD and FCD were calculated based on patient-sharing networks. The weights of FCD were optimized to predict hospital admissions during the first year of a 24-month follow-up. Subsequently, we employed likelihood ratio tests to assess whether adding either CD or FCD improved a baseline model with control variables for the second follow-up year.

RESULTS

The inclusion of FCD significantly improved the baseline model, Χ2(1) = 53.30, p < 0.001. We found that patients with lower percentiles in FCD had an up to 21% lower hospitalization risk than those with median or higher values, whereas CD did not affect the risk.

CONCLUSIONS

FCD is an adaptive metric that can weight provider relationships based on their relevance for predicting any outcome. We used it to better understand which medical specialties need to be involved to reduce hospitalization risk for patients with schizophrenia. As FCD can be modified for different health conditions and systems, it is broadly applicable and might help to identify barriers and promoting factors for effective collaboration.

Patient Care Satisfaction and Emergency Room Utilization among Young Adult Colorectal Cancer Survivors during the SARS-CoV-2 Pandemic: Lessons Learned

Introduction: Survivors of colorectal cancer (CRC) are at risk for late effects of therapy and recurrence of cancer. With recurrence rates ranging between 30−40%, follow-up care is needed for both early detection and management of late effects. Cancer care delivery for CRC patients was significantly disrupted by the SARS-CoV-2 pandemic, with decreases of 40% in such services in the United States between April 2020 and 2019. Survivors were left with fewer options for care, potentially causing increases in emergency room (ER) utilization. Methods: This cross-sectional study examined the patterns of ER utilization during the SARS-CoV-2 pandemic among young adult CRC survivors and assessed the relationship between self-reported care satisfaction and ER use. Eligible participants were colon or rectal cancer survivors diagnosed between 18−39 years of age, 6−36 months from diagnosis/relapse, English speaking and residing in the United States. Multivariable logistic regression assessed the association between patient care satisfaction and ER utilization, adjusting for pandemic factors. Covariates were chosen by significance of p < 0.1 at the univariate level and perceived clinical significance. Results: The overall sample (N = 196) had mean age (SD) 32.1 (4.5); 59% were male. Tumor location was colon or rectal in 42% and 57%, respectively, and the majority (56%) were diagnosed with stage 2 disease; 42.6% reported relapsed disease, and 20% had an ostomy. Most survivors (72.5%) had between 1−4 visits to an ER in the last 12 months and were categorized as normal utilizers. Approximately 24.7% of the sample had greater than 4 visits to the ER in the last 12 months and were categorized as super-utilizers. CRC survivors that reported a delay in their follow-up care as a result of the pandemic were two times (OR: 2.05, 95% CI 0.99, 4.24) more likely to be super-utilizers of the ER. Higher self-reported satisfaction with care was associated with a 13.7% lower likelihood of being a super-utilizer (OR: 0.86, 95%CI: −0.68, 1.09). Conclusions: This study found strong associations between delays in care, self-reported care satisfaction, and being a super-utilizer of the ER during the pandemic among young adult CRC survivors off treatment. Increasing patient satisfaction and minimizing care interruptions amongst this vulnerable population may aid in mitigating over-utilization in the ER during an ongoing pandemic.

Density of Patient-Sharing Networks: Impact on the Value of Parkinson Care

BACKGROUND

Optimal care for Parkinson's disease (PD) requires coordination and collaboration between providers within a complex care network. Individual patients have personalised networks of their own providers, creating a unique informal network of providers who treat ('share') the same patient. These 'patient-sharing networks' differ in density, ie, the number of identical patients they share. Denser patient-sharing networks might reflect better care provision, since providers who share many patients might have made efforts to improve their mutual care delivery. We evaluated whether the density of these patient-sharing networks affects patient outcomes and costs.

METHODS

We analysed medical claims data from all PD patients in the Netherlands between 2012 and 2016. We focused on seven professional disciplines that are commonly involved in Parkinson care. We calculated for each patient the density score: the average number of patients that each patient's providers shared. Density scores could range from 1.00 (which might reflect poor collaboration) to 83.00 (which might reflect better collaboration). This score was also calculated at the hospital level by averaging the scores for all patients belonging to a specific hospital. Using logistic and linear regression analyses we estimated the relationship between density scores and health outcomes, healthcare utilization, and healthcare costs.

RESULTS

The average density score varied considerably (average 6.7, SD 8.2). Adjusted for confounders, higher density scores were associated with a lower risk of PD-related complications (odds ratio [OR]: 0.901; P<.001) and with lower healthcare costs (coefficients: -0.018, P=.005). Higher density scores were associated with more frequent involvement of neurologists (coefficient 0.068), physiotherapists (coefficient 0.052) and occupational therapists (coefficient 0.048) (P values all <.001).

CONCLUSION

Patient sharing networks showed large variations in density, which appears unwanted as denser networks are associated with better outcomes and lower costs.

Identifying Strategies for Robust Survivorship Program Implementation: A Qualitative Analysis of Cancer Programs

PURPOSE

The Commission on Cancer seeks to promote robust survivorship programs among accredited cancer programs. In practice, cancer programs' survivorship programs range from cursory (eg, developing care plans without robust services) to robust (eg, facilitating follow-up care). To inform cancer programs' future efforts, in this study, we identified the implementation strategies that cancer programs used to achieve robust survivorship programs, distinguishing them from cursory programs.

METHODS

We sampled 39 cancer programs across the United States with approaches to survivorship program implementation ranging from cursory to robust on the basis of LIVESTRONG survivorship care consensus elements. Within sampled cancer programs, we conducted in-depth semistructured interviews with a total of 42 health care professionals. We used template analysis to distinguish implementation strategies used in cancer programs with robust survivorship programs from strategies that yielded cursory survivorship programs.

RESULTS

Cancer programs with robust survivorship programs established clear systems survivorship care and formal committees to improve the survivorship care processes. They sought buy-in from multiple stakeholders to leverage cancer program resources and defined clear roles with shared accountability among multidisciplinary groups. By contrast, cancer programs with cursory survivorship programs reported less consistency in survivorship care processes and lacked buy-in from key stakeholders. They had limited resources, faced persistent structural concerns, and had insufficient clarity in roles among team members.

CONCLUSION

Accrediting bodies may consider incorporating the implementation strategies that robust survivorship programs have used as guidance for supporting cancer programs in operationalizing survivorship care and evaluating the use of these strategies during the accreditation and review process.

Association of Physician Referrals with Timely Cancer Care Using Tumor Registry and Claims Data

More Americans are being screened for and more are surviving colorectal cancer due to advanced treatments and better quality of care; however, these benefits are not equitably distributed among diverse or older populations. Differential care delivery outcomes are driven by multiple factors, including access to timely treatment that comes from high-quality care coordination. Providers help ensure such coordinated care, which includes timely referrals to specialists. Variation in referrals between providers can also result in differences in treatment plans and outcomes. Patients who are more often referred between the same diagnosing and treating providers may benefit from more timely care compared to those who are not. Our objective is to examine patterns of referral, or patient-sharing networks (PSNs), and our outcome, treatment delay of 30-days (yes/no). We hypothesize that if a patient is in a PSN they will have lower odds of a 30-day treatment initiation delay. Our observational population-based analysis using the National Cancer Institute (NCI)-linked tumor registry and Medicare claims database includes records for 27,689 patients diagnosed with colorectal cancer from 2001 to 2013, and treated with either chemotherapy, radiotherapy, or surgery. We modeled the adjusted odds of a delay and found 17.04% of patients experienced a 30-day delay in initial treatment. Factors that increased odds of a delay were lack of membership in a PSN (adjusted odds ratio [AOR]: 2.20; 95% confidence interval [CI]: 1.71-2.84), racial/ethnic minority status, and having multiple comorbidities. Provider characteristics significantly associated with greater odds of a delay were if dyads were not in the same facility (AOR: 1.95; 95% CI: 1.81-2.10), if providers were different genders, most notably male (diagnosing) and female (treating) [AOR: 1.23; 95% CI: 1.08-1.40, p = 0.0015]. PSNs appear to be associated with reduced of a care delay. The associations observed in our study address the demand for developing multilevel interventions to improve the delivery and coordination of high-quality of care for older cancer patients.

Teaming up in primary care: Membership boundaries, interdependence, and coordination

OBJECTIVE

Increased demand for quality primary care and value-based payment has prompted interest in implementing primary care teams. Evidence-based recommendations for implementing teams will be critical to successful PA participation. This study sought to describe how primary care providers (PCPs) define team membership boundaries and coordinate tasks.

METHODS

This mixed-methods study included 28 PCPs from a primary care network. We analyzed survey data using descriptive statistics and interview data using content analysis.

RESULTS

Ninety-six percent of PCPs reported team membership. Team models fell into one of five categories. The predominant coordination mechanism differed by whether coordination was required in a visit or between visits.

CONCLUSIONS

Team-based primary care is a strategy for improving access to quality primary care. Most PCPs define team membership based on within-visit task interdependencies. Our findings suggest that team-based interventions can focus on clarifying team membership, increasing interaction between clinicians, and enhancing the electronic health record to facilitate between-visit coordination.

Associations of continuity and coordination of care with outcomes and costs after discharge among patients with heart failure: A nationwide population-based study

BACKGROUND

Although continuity and coordination of care have received increased attention as important ways to improve outcomes and decrease costs, limited information is available concerning the effects of "care continuity" and "care coordination" on mortality and costs. We used nationwide population-based data from Taiwan to explore the effects of care continuity and coordination on mortality and costs for heart failure.

METHODS

We analyzed all 18,991 heart failure patients 18 years of age or older and discharged from hospitals in 2016 using Taiwan's National Health Insurance claims data. Cox proportional hazard and multiple linear regression models were used, after adjustment for patient characteristics, to explore the relative impacts of the continuity of care (COC) index and care density on 1-year mortality and costs.

RESULTS

Higher COC index was associated with lower mortality (low vs. medium: hazard ratio [HR], 1.59; 95% confidence interval [CI], 1.47-1.71; high vs. medium: HR, 0.66; 95% CI, 0.61-0.72) and costs (low vs. medium: cost ratio [CR], 1.11; 95% CI, 1.07-1.16; high vs. medium: CR, 0.84; 95% CI, 0.81-0.88). Low care density was associated with higher mortality (low vs. medium: HR, 1.12; 95% CI, 1.04-1.20). Higher care density was associated with lower costs (low vs. medium: CR, 1.14; 95% CI, 1.10-1.18; high vs. medium: CR, 0.76; 95% CI, 0.73-0.79).

CONCLUSIONS

Low care continuity and coordination are associated with higher 1-year post-discharge mortality and costs. Facilitating care continuity and coordination may be an important strategy for improving value-based care for heart failure.

OUP accepted manuscript

Appropriate models of survivorship care for the growing number of adult survivors of childhood cancer are unclear. We conducted a realist review to describe how models of care that include primary care and relevant resources (eg, tools, training) could be effective for adult survivors of childhood cancer. We first developed an initial program theory based on qualitative literature (studies, commentaries, opinion pieces) and stakeholder consultations. We then reviewed quantitative evidence and consulted stakeholders to refine the program theory and develop and refine context-mechanism-outcome hypotheses regarding how models of care that include primary care could be effective for adult survivors of childhood cancer. Effectiveness for both resources and models is defined by survivors living longer and feeling better through high-value care. Intermediate measures of effectiveness evaluate the extent to which survivors and providers understand the survivor’s history, risks, symptoms and problems, health-care needs, and available resources. Thus, the models of care and resources are intended to provide information to survivors and/or primary care providers to enable them to obtain/deliver appropriate care. The variables from our program theory found most consistently in the literature include oncology vs primary care specialty, survivor and provider knowledge, provider comfort treating childhood cancer survivors, communication and coordination between and among providers and survivors, and delivery/receipt of prevention and surveillance of late effects. In turn, these variables were prominent in our context-mechanism-outcome hypotheses. The findings from this realist review can inform future research to improve childhood cancer survivorship care and outcomes.

Providers' mediating role for medication adherence among cancer survivors

Background

We conducted a mediation analysis of the provider team’s role in changes to chronic condition medication adherence among cancer survivors.

Methods

We used a retrospective, longitudinal cohort design following Medicare beneficiaries from 18-months before through 24-months following cancer diagnosis. We included beneficiaries aged ≥66 years newly diagnosed with breast, colorectal, lung or prostate cancer and using medication for non-insulin anti-diabetics, statins, and/or anti-hypertensives and similar individuals without cancer from Surveillance, Epidemiology, and End Results-Medicare data, 2008–2014. Chronic condition medication adherence was defined as a proportion of days covered ≥ 80%. Provider team structure was measured using two factors capturing the number of providers seen and the historical amount of patient sharing among providers. Linear regressions relying on within-survivor variation were run separately for each cancer site, chronic condition, and follow-up period.

Results

The number of providers and patient sharing among providers increased after cancer diagnosis relative to the non-cancer control group. Changes in provider team complexity explained only small changes in medication adherence. Provider team effects were statistically insignificant in 13 of 17 analytic samples with significant changes in adherence. Statistically significant provider team effects were small in magnitude (<0.5 percentage points).

Conclusions

Increased complexity in the provider team associated with cancer diagnosis did not lead to meaningful reductions in medication adherence. Interventions aimed at improving chronic condition medication adherence should be targeted based on the type of cancer and chronic condition and focus on other provider, systemic, or patient factors.

Economic Evaluation of Long-Term Survivorship Care for Cancer Patients in OECD Countries: A Systematic Review for Decision-Makers

Long-term cancer survivorship care is a crucial component of an efficient healthcare system. For numerous reasons, there has been an increase in the number of cancer survivors; therefore, healthcare decision-makers are tasked with balancing a finite budget with a strong demand for services. Decision-makers require clear and pragmatic interpretation of results to inform resource allocation decisions. For these reasons, the impact and importance of economic evidence are increasing. The aim of the current study was to conduct a systematic review of economic evaluations of long-term cancer survivorship care in Organization for Economic Co-operation and Development (OECD) member countries and to assess the usefulness of economic evidence for decision-makers. A systematic review of electronic databases, including MEDLINE, PubMed, PsycINFO and others, was conducted. The reporting quality of the included studies was appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Each included study’s usefulness for decision-makers was assessed using an adapted version of a previously published approach. Overall, 3597 studies were screened, and of the 235 studies assessed for eligibility, 34 satisfied the pre-determined inclusion criteria. We found that the majority of the included studies had limited value for informing healthcare decision-making and conclude that this represents an ongoing issue in the field. We recommend that authors explicitly include a policy statement as part of their presentation of results.

Physician patient-sharing relationships and healthcare costs and utilization in China: social network analysis based on health insurance data

OBJECTIVES

Evidence on physician patient-sharing relationships from developing countries is limited. This study aimed to identify patient-sharing networks among physicians in China and explore the effect of attributes of physician networks on healthcare utilization and costs.

METHODS

Retrospective analysis was undertaken based on healthcare claims from Urban Employee Basic Medical Insurance Data spanning the years 2015 to 2018. We identified patients with hypertension and modeled physician patient-sharing networks using social network analysis. Relationships among physicians were further quantified using network measures. We fitted a log-linear model to examine the association between networks and healthcare at the physician level.

RESULTS

29,321 patients, seen by 3,429 physicians from 57 hospitals in one eastern city of China were included. Physicians were connected to 21 other physicians (threshold = 1 shared patients) or 7 other physicians (threshold = 4, 6, or 8 shared patients). Degree and centrality measures of physicians at primary care facilities were significantly lower than those at secondary or tertiary hospitals (p < 0.001). The links between physicians at different hospital grades were weak and patients tended to flow among physicians at the same hospital grade. Compared with a low closeness centrality, a medium level was associated with fewer hospitalization costs and days, and high closeness centrality was accompanied by a sharper decrease (all P < 0.001).

CONCLUSIONS

Primary care physicians were located in peripheral positions in China, and the links between primary care facilities and higher-grade hospitals were still weak. Characteristics of physicians' networks and the position of physicians in the network were associated with spending and utilization of services, but not all associations were in the same direction.

Investigation of patient-sharing networks using a Bayesian network model selection approach for congruence class models

A Bayesian approach to conduct network model selection is presented for a general class of network models referred to as the congruence class models (CCMs). CCMs form a broad class that includes as special cases several common network models, such as the Erdős-Rényi-Gilbert model, stochastic block model, and many exponential random graph models. Due to the range of models that can be specified as CCMs, our proposed method is better able to select models consistent with generative mechanisms associated with observed networks than are current approaches. In addition, our approach allows for incorporation of prior information. We illustrate the use of this approach to select among several different proposed mechanisms for the structure of patient-sharing networks; such networks have been found to be associated with the cost and quality of medical care. We found evidence in support of heterogeneity in sociality but not selective mixing by provider type or degree.

Patient-sharing relationship between Chinese medicine doctors and other physicians: costs and outcomes of breast cancer survivorship care

PURPOSE

Breast cancer survivors represent a unique group of patients who need complex and continuous care after their cancer treatment. These patients often see several providers in various specialties. This study aimed to analyze how traditional Chinese medicine (TCM) integration within care networks of patients with breast cancer might be related to health care costs and patient outcomes under the National Health Insurance program in Taiwan.

METHODS

We enrolled all patients who underwent definitive mastectomy for newly diagnosed breast cancer between 2007 and 2015. We analyzed the presence of TCM physicians and the patient-sharing relationship between TCM physicians and other physicians during the first year after mastectomy. The outcomes included all-cause mortality, avoidable hospitalization, and medical expenditures.

RESULTS

There were 68,987 patients with breast cancer, with a median age of 53 years. After propensity score matching, patients whose TCM doctors had the highest connectedness with other physicians had the lowest odds of avoidable hospitalization (adjusted odds ratio 0.86; 95% confidence interval [CI], 0.78-0.96) and lowest hazard of mortality (adjusted hazard ratio, 0.82; 95% CI, 0.72-0.93), followed by those with TCM doctors with medium connectedness, then low connectedness, and lastly those patients with no TCM doctor in their care network.

CONCLUSIONS

A dose-response pattern was observed regarding the relationship between TCM doctor's connectedness with other physicians within a patient's care network and patient outcomes.

IMPLICATIONS FOR CANCER SURVIVORS

The findings demonstrated that stronger connectedness between TCM and other physicians could help improve the health outcomes of breast cancer survivors.

The association of continuity of care and risk of mortality in breast cancer patients with cardiometabolic comorbidities

OBJECTIVE

The association of continuity of care (COC) among providers and mortality risk for breast cancer patients with comorbidities is not sufficiently studied.

DESIGN

A retrospective cohort study using the 2006-2014 Surveillance, Epidemiology and End Results (SEER)-Medicare data.

PARTICIPANTS

Newly diagnosed female breast cancer patients (n = 57,578) with comorbidities (hypertension, hyperlipidemia, and/or diabetes).

METHODS

All-cause mortality was assessed annually for up to 5 years. COC was estimated using the Bice-Boxerman index, which included: 1) specialty COC capturing continuity of visits to the same provider type (Primary Care Physicians, Oncologists, and Other specialists) and 2) individual COC capturing continuous care to the same provider regardless of provider specialty. Cox proportional hazards models estimated the hazard ratio (HR) of all-cause mortality across quartile of the COC index.

RESULTS

Mortality was positively associated with advanced tumor stages and number of comorbidities (p < 0.05). Patients with high specialty COC (4th vs. 1st quartile, HR 1.34, 95%CI 1.29-1.40) had higher risks of mortality compared with those with low specialty COC. However, patients with high individual COC (4th vs. 1st quartile, HR 0.53, 95%CI 0.51-0.54) had lower risks of mortality compared to those with low individual COC.

CONCLUSION

Receiving care from fewer providers is associated with lower mortality and from fewer types of provider is associated with higher mortality. The results might be confounded by uncontrolled factors and provoke the need for alternative patient care models that recognize the balance between appropriate subspecialties and minimizing the fragmentation of care within and across subspecialties.

Determinants of physician networks: an ethnographic study examining the processes that inform patterns of collaboration and referral decision-making among physicians

OBJECTIVE

Most scholarly attention to studying collaborative ties in physician networks has been devoted to quantitatively analysing large, complex datasets. While valuable, such studies can reduce the dynamic and contextual complexities of physician collaborations to numerical values. Qualitative research strategies can contribute to our understanding by addressing the gaps left by more quantitative approaches. This study seeks to contribute to the literature that applies network science approaches to the context of healthcare delivery. We use qualitative, observational and interview, methods to pursue an in-depth, micro-level approach to the deeply social and discursive processes that influence patterns of collaboration and referral decision-making in physician networks.

DESIGN

Qualitative methodologies that paired ethnographic field observations, semistructured interviews and document analysis were used. An inductive thematic analysis approach was used to analyse, identify and describe patterns in those data.

SETTING

This study took place in a high-volume cardiovascular department at a major academic medical centre (AMC) located in the Midwest region of the USA.

PARTICIPANTS

Purposive and snowballing sampling were used to recruit study participants for both the observational and face-to-face in-depth interview portions of the study. In total, 25 clinicians and 43 patients participated in this study.

RESULTS

Two primary thematic categories were identified: (1) circumstances for external engagement; and (2) clinical conditions for engagement. Thematic subcategories included community engagement, scientific engagement, reputational value, experiential information, professional identity, self-awareness of competence, multidisciplinary programmes and situational factors.

CONCLUSION

This study adds new contextual knowledge about the mechanisms that characterise referral decision-making processes and how these impact the meaning of physician relationships, organisation of healthcare delivery and the knowledge and beliefs that physicians have about their colleagues. This study highlights the nuances that influence how new collaborative networks are formed and maintained by detailing how relationships among physicians develop and evolve over time.

Changes in chronic medication adherence in older adults with cancer versus matched cancer-free cohorts

OBJECTIVES

A cancer diagnosis can influence medication adherence for chronic conditions by shifting care priorities or reinforcing disease prevention. This study describes changes in adherence to medications for treating three common chronic conditions - diabetes, hyperlipidemia, and hypertension - among older adults newly diagnosed with non-metastatic breast, colorectal, lung, or prostate cancer.

METHODS

We identified Medicare beneficiaries aged ≥66 years newly diagnosed with cancer and using medication for at least one chronic condition, and similar cohorts of matched individuals without cancer. To assess medication adherence, proportion of days covered (PDC) was measured in six-month windows starting six-months before through 24 months following cancer diagnosis or matched index date. Generalized estimating equations were used to estimate difference-in-differences (DID) comparing changes in PDCs across cohorts using the pre-diagnosis window as the referent. Analyses were run separately for each cancer type-chronic condition combination.

RESULTS

Across cancer types and non-cancer cohorts, adherence was highest for anti-hypertensives (90-92%) and lowest for statins (77-79%). In older adults with colorectal and lung cancer, adherence to anti-diabetics and statins declined post-diagnosis compared with the matched non-cancer cohorts, with estimates ranging from a DID of -2 to -4%. In older adults with breast and prostate cancer cohorts, changes in adherence for all medications were similar to non-cancer cohorts.

CONCLUSION

Our findings highlight variation in medication adherence by cancer type and chronic condition. As many older adults with early stage cancer eventually die from non-cancer causes, it is imperative that cancer survivorship interventions emphasize medication adherence for other chronic conditions.

Evaluation of Physician Network-Based Measures of Care Coordination Using Medicare Patient-Reported Experience Measures

BACKGROUND

There is significant promise in analyzing physician patient-sharing networks to indirectly measure care coordination, yet it is unknown whether these measures reflect patients' perceptions of care coordination.

OBJECTIVE

To evaluate the associations between network-based measures of care coordination and patient-reported experience measures.

DESIGN

We analyzed patient-sharing physician networks within group practices using data made available by the Centers for Medicare and Medicaid Services.

SUBJECTS

Medicare beneficiaries who provided responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey in 2016 (data aggregated by physician group practice made available through the Physician Compare 2016 Group Public Reporting).

MAIN MEASURES

The outcomes of interest were patient-reported experience measures reflecting aspects of care coordination (CAHPS). The predictor variables of interests were physician group practice density (the number of physician pairs who share patients adjusting for the total number of physician pairs) and clustering (the extent to which sets of three physicians share patients).

KEY RESULTS

Four hundred seventy-six groups had patient-reported measures available. Patients' perception of "Clinicians working together for your care" was significantly positively associated with both physician group practice density (Est (95 % CI) = 5.07(0.83, 9.33), p = 0.02) and clustering (Est (95 % CI) = 3.73(1.01, 6.44), p = 0.007). Physician group practice clustering was also significantly positively associated with "Getting timely care, appointments, and information" (Est (95 % CI) = 4.63(0.21, 9.06), p = 0.04).

CONCLUSIONS

This work suggests that network-based measures of care coordination are associated with some patient-reported experience measures. Evaluating and intervening on patient-sharing networks may provide novel strategies for initiatives aimed at improving quality of care and the patient experience.

Comparing Shared Patient Networks Across Payers

BACKGROUND

Measuring care coordination in administrative data facilitates important research to improve care quality.

OBJECTIVE

To compare shared patient networks constructed from administrative claims data across multiple payers.

DESIGN

Social network analysis of pooled cross sections of physicians treating prevalent colorectal cancer patients between 2003 and 2013.

PARTICIPANTS

Surgeons, medical oncologists, and radiation oncologists identified from North Carolina Central Cancer Registry data linked to Medicare claims (N = 1735) and private insurance claims (N = 1321).

MAIN MEASURES

Provider-level measures included the number of patients treated, the number of providers with whom they share patients (by specialty), the extent of patient sharing with each specialty, and network centrality. Network-level measures included the number of providers and shared patients, the density of shared-patient relationships among providers, and the size and composition of clusters of providers with a high level of patient sharing.

RESULTS

For 24.5% of providers, total patient volume rank differed by at least one quintile group between payers. Medicare claims missed 14.6% of all shared patient relationships between providers, but captured a greater number of patient-sharing relationships per provider compared with the private insurance database, even after controlling for the total number of patients (27.242 vs 26.044, p < 0.001). Providers in the private network shared a higher fraction of patients with other providers (0.226 vs 0.127, p < 0.001) compared to the Medicare network. Clustering coefficients for providers, weighted betweenness, and eigenvector centrality varied greatly across payers. Network differences led to some clusters of providers that existed in the combined network not being detected in Medicare alone.

CONCLUSION

Many features of shared patient networks constructed from a single-payer database differed from similar networks constructed from other payers' data. Depending on a study's goals, shortcomings of single-payer networks should be considered when using claims data to draw conclusions about provider behavior.

Continuity of Care, Follow-Up Care, and Outcomes among Breast Cancer Survivors

This retrospective cohort study examined the effects of care continuity on the utilization of follow-up services and outcome of breast cancer patients (stages I-III) in the post-treatment phase of care. Propensity score matching and generalized estimation equations were used in the analysis of data obtained from national longitudinal databases. The continuity of care index (COCI) was calculated separately for primary care physicians (PCP) and oncologists. Our results revealed that breast cancer survivors with a higher oncology COCI were more likely than those with a lower oncology COCI to use mammography or breast ultrasound during the follow-up period (OR = 1.26, 95% CI: 1.19-1.32; OR = 1.12, 95% CI: 1.06-1.18; respectively). In terms of health outcomes, a higher oncology COCI was associated with a lower likelihood of hospitalization (OR = 0.78, 95% CI: 0.71-0.85) and emergency department use (OR = 0.88, 95% CI: 0.82-0.95). A higher PCP COCI was also associated with a lower likelihood of hospitalization (OR = 0.77, 95% CI: 0.70-0.85) and emergency department use (OR = 0.75, 95% CI: 0.68-0.82). Overall, this study determined that ambulatory care continuity is positively associated with the likelihood of using recommended follow-up care services and negatively associated with adverse health events among breast cancer survivors.

[A systematic review on population-based indicators of the quality of care in formal and informal provider networks and their application in health economic evaluations]

BACKGROUND

Provider networks in healthcare can emerge as either formal or informal networks. For sector-encompassing population-based quality measurement in informal networks, which allows for conclusions about the cost-effectiveness of care for home-dwelling persons in need of care, a comprehensive review on suitable quality indicators that can be derived from German social health insurance claims data is still lacking.

OBJECTIVE

Primary review questions: Which population-based indicators of quality of care in formal and informal provider networks are described in the international literature? Which of these indicators are used as outcome parameters in health economic evaluations, and what are the methodological approaches in these evaluations? Rating approaches and methods for establishing thresholds as well as the validity and suitability of quality indicators to predict quality of care as well as the potential for the calculation of quality indicators based on German social health insurance claims data are included in the secondary review questions.

SEARCH METHODS

Databases searched in May 2017 and July 2018 included PubMed, The Cochrane Library und NHS EED, CINAHL, GeroLit and EconLit. In addition, we hand-searched references of the studies identified and screened the project database Health Services Research Germany.

SELECTION CRITERIA

Quantitative design, German or English language. Any kind of formal or informal network for which distinct members regarding single providers are named and population-based quality indicators for adults (18 years or older) are described.

DATA COLLECTION AND ANALYSIS

Two authors (Cohen's Kappa = 0.64) independently screened titles, abstracts and full texts. A third independent reviewer was consulted in cases of uncertainty regarding the inclusion of studies. Critical appraisal was conducted using AMSTAR, the Cochrane Risk-of-Bias Tool, the Newcastle-Ottawa Scale (NOS), the Appraisal Tool for Cross-Sectional Studies (AXIS) and the criteria of the Drummond Checklist.

MAIN RESULTS

137 studies were included, five of which evaluated informal provider networks and applied indicators for medical conditions such as diabetes mellitus or heart failure or events like ambulatory care-sensitive hospitalisations, which were also utilized for formal networks. Five out of 14 health economic evaluations also assessed associations between costs and quality of care. The majority of studies did not include evidence on rating approaches and/or thresholds. Even though the validity and reliability of the used data in single studies is frequently discussed, only one in four of the included studies undertook a discussion of the suitability of the applied indicators. 121 studies explored indicators that can, in whole or in part, potentially be calculated on the basis of German social health insurance claims data and that target medical conditions such as osteoarthritis, asthma, chronic pain, chronic obstructive pulmonary disease, cardiovascular disease, dementia, diabetes mellitus, osteoporosis or mental health disorders as well as ambulatory care-sensitive events, appropriate medication of the elderly and polypharmacy, preventive care and continuity of care.

AUTHORS' CONCLUSIONS

This systematic review identified quality indicators that were predominantly used in formal provider networks and, with sufficient testing and further development, include the possibility of being used for measuring the quality of care in informal networks. The need for further research on suitable approaches to measure the interactions of quality of care and costs and on the validity, reliability and predictive suitability of single indicators as well as the finding that quality indicators especially developed for the German ambulatory sector were rarely used in the included studies constitute promising starting points for both an intensified methodological debate and the critical discussion of issues concerning population-based, sector-encompassing measurement of quality of care in health services research.

Evaluating Breast Cancer Care Coordination at a Rural National Cancer Institute Comprehensive Cancer Center Using Network Analysis and Geospatial Methods

BACKGROUND

Variation in cancer care coordination may affect care quality and patient outcomes. We sought to characterize the impact of geographic access to and dispersion of cancer care providers on variation in care coordination.

METHODS

Using electronic health record data from 2,507 women diagnosed with breast cancer at a National Cancer Institute Comprehensive Cancer Center from April 2011 to September 2015, a breast cancer patient-sharing physician network was constructed. Patient "care networks" represent the subnetworks of physicians with whom the focal patient had a clinical encounter. Patient care networks were analyzed to generate two measures of care coordination, care density (ratio of observed vs. potential connections between physicians), and clustering (extent to which physicians form connected triangles).

RESULTS

The breast cancer physician network included 667 physicians. On average, the physicians shared patients with 12 other physicians. Patients saw an average of 8 physicians during active treatment. In multivariable models adjusting for patient sociodemographic and clinical characteristics, we observed that greater travel burden (>2 hours) and lower geographic dispersion were associated with higher care density (P < 0.05 and P < 0.001, respectively) but lower care network clustering (P < 0.05).

CONCLUSIONS

Variation in network-based measures of care coordination is partially explained by patient travel burden and geographic dispersion of care.

IMPACT

Improved understanding of factors driving variation in patient care networks may identify patients at risk of receiving poorly coordinated cancer care.

Health care use during cancer survivorship: Review of 5 years of evidence

Improvements in treatment strategies have resulted in increasing survival rates among patients diagnosed with cancer but also result in a growing population of individuals who have greater health care needs. These needs will persist from diagnosis throughout the continuing phase of care, or the survivorship phase. To better define models of survivorship care, there must be a strong evidence base in survivor health care use patterns. The objective of this review, which covers studies from 2012 to January 2018, was to evaluate the available evidence on patterns of health care visits among survivors of adult cancers and to understand what is known about the rate of health care visits, the physician specialties associated with these visits, and/or the types health care settings (eg, outpatient, emergency room). The findings underscore the importance of primary care, with the majority of studies reporting that >90% of survivors visited a primary care provider in the prior year. Visits to oncologists and/or other physician specialties were positively associated with receiving cancer screenings and obtaining quality care for noncancer-related conditions. High care density/low care fragmentation between physician specialties had lower costs and a lower likelihood of redundant health care utilization. The follow-up in almost all studies was 3 years, providing short-term evidence; however, as the survivorship period lengthens with improved treatments, longer follow-up will be required. The long-term patterns with which survivors of cancer engage the health care system are critical to designing long-term follow-up care plans that are effective in addressing the complex morbidity that survivors experience.

Comparison of physician networks constructed from thresholded ties versus shared clinical episodes

OBJECTIVE

To compare standard methods for constructing physician networks from patient-physician encounter data with a new method based on clinical episodes of care.

DATA SOURCE

We used data on 100% of traditional Medicare beneficiaries from 51 nationally representative geographical regions for the years 2005-2010.

STUDY DESIGN

We constructed networks of physicians based on their shared patients. In the fixed-threshold networks and adaptive-threshold networks, we included data on all patient-physician encounters to form the physician-physician ties, and then subsequently thresholded some proportion of the strongest ties. In contrast, in the episode-based approach, only those patient-physician encounters that occurred within shared clinical episodes treating specific conditions contributed towards physician-physician ties.

DATA COLLECTION/EXTRACTION METHODS

We extracted clinical episodes in the Medicare data and investigated structural properties of the patient-sharing networks of physicians, temporal dynamics of their ties, and temporal stability of network communities across the two approaches.

PRINCIPAL FINDINGS

The episode-based networks accentuated ties between primary care physicians (PCPs) and medical specialists, had ties that were more likely to reappear in the future, and appeared to have more fluid community structure.

CONCLUSIONS

Constructing physician networks around shared episodes of care is a clinically sound alternative to previous approaches to network construction that does not require arbitrary decisions about thresholding. The resulting networks capture somewhat different aspects of patient-physician encounters.

A scoping review of patient-sharing network studies using administrative data

There is a robust literature examining social networks and health, which draws on the network traditions in sociology and statistics. However, the application of social network approaches to understand the organization of health care is less well understood. The objective of this work was to examine approaches to conceptualizing, measuring, and analyzing provider patient-sharing networks. These networks are constructed using administrative data in which pairs of physicians are considered connected if they both deliver care to the same patient. A scoping review of English language peer-reviewed articles in PubMed and Embase was conducted from inception to June 2017. Two reviewers evaluated article eligibility based upon inclusion criteria and abstracted relevant data into a database. The literature search identified 10,855 titles, of which 63 full-text articles were examined. Nine additional papers identified by reviewing article references and authors were examined. Of the 49 papers that met criteria for study inclusion, 39 used a cross-sectional study design, 6 used a cohort design, and 4 were longitudinal. We found that studies most commonly theorized that networks reflected aspects of collaboration or coordination. Less commonly, studies drew on the strength of weak ties or diffusion of innovation frameworks. A total of 180 social network measures were used to describe the networks of individual providers, provider pairs and triads, the network as a whole, and patients. The literature on patient-sharing relationships between providers is marked by a diversity of measures and approaches. We highlight key considerations in network identification including the definition of network ties, setting geographic boundaries, and identifying clusters of providers, and discuss gaps for future study.

Analysis of the U.S. patient referral network

In this paper, we analyze the US Patient Referral Network (also called the Shared Patient Network) and various subnetworks for the years 2009 to 2015. In these networks, two physicians are linked if a patient encounters both of them within a specified time interval, according to the data made available by the Centers for Medicare and Medicaid Services. We find power law distributions on most state-level data as well as a core-periphery structure. On a national and state level, we discover a so-called small-world structure as well as a "gravity law" of the type found in some large-scale economic networks. Some physicians play the role of hubs for interstate referral. Strong correlations between certain network statistics with health care system statistics at both the state and national levels are discovered. The patterns in the referral network evinced using several statistical analyses involving key metrics derived from the network illustrate the potential for using network analysis to provide new insights into the health care system and opportunities or mechanisms for catalyzing improvements.

Geographic Variations in Physician Relationships Over Time: Implications for Care Coordination

Care coordination may be more challenging when the specific physicians with whom primary care physicians (PCPs) are expected to coordinate care change over time. Using Medicare data on physician patient-sharing relationships and the Dartmouth Atlas, we explored the extent to which PCPs tend to share patients with other physicians over time. We found that 70.7% of ties between PCPs and other physicians that were present in 2012 persisted in 2013, and additional shared patients in 2012 increased the odds of being connected in 2013. Regions with higher persistent ties tended to have lower rates of emergency room visits, and regions where PCPs had more physician connections were more likely to have higher emergency room visits. The results point to potential opportunities and challenges faced by health care reforms that seek to improve coordination.

Meeting the challenge of COPD care delivery in the USA: a multiprovider perspective

The burden of chronic obstructive pulmonary disease (COPD) in the USA continues to grow. Although progress has been made in the the development of diagnostics, therapeutics, and care guidelines, whether patients' quality of life is improved will ultimately depend on the actual implementation of care and an individual patient's access to that care. In this Commission, we summarise expert opinion from key stakeholders-patients, caregivers, and medical professionals, as well as representatives from health systems, insurance companies, and industry-to understand barriers to care delivery and propose potential solutions. Health care in the USA is delivered through a patchwork of provider networks, with a wide variation in access to care depending on a patient's insurance, geographical location, and socioeconomic status. Furthermore, Medicare's complicated coverage and reimbursement structure pose unique challenges for patients with chronic respiratory disease who might need access to several types of services. Throughout this Commission, recurring themes include poor guideline implementation among health-care providers and poor patient access to key treatments such as affordable maintenance drugs and pulmonary rehabilitation. Although much attention has recently been focused on the reduction of hospital readmissions for COPD exacerbations, health systems in the USA struggle to meet these goals, and methods to reduce readmissions have not been proven. There are no easy solutions, but engaging patients and innovative thinkers in the development of solutions is crucial. Financial incentives might be important in raising engagement of providers and health systems. Lowering co-pays for maintenance drugs could result in improved adherence and, ultimately, decreased overall health-care spending. Given the substantial geographical diversity, health systems will need to find their own solutions to improve care coordination and integration, until better data for interventions that are universally effective become available.

Relationship Between Quality of Comorbid Condition Care and Costs for Cancer Survivors

PURPOSE

To estimate the association between cancer survivors' comorbid condition care quality and costs; to determine whether the association differs between cancer survivors and other patients.

METHODS

Using the SEER-Medicare-linked database, we identified survivors of breast, prostate, and colorectal cancers who were diagnosed in 2004, enrolled in Medicare fee-for-service for at least 12 months before diagnosis, and survived ≥ 3 years. Quality of care was assessed using nine process indicators for chronic conditions, and a composite indicator representing seven avoidable outcomes. Total costs on the basis of Medicare amount paid were grouped as inpatient and outpatient. We examined the association between care quality and costs for cancer survivors, and compared this association among 2:1 frequency-matched noncancer controls, using comparisons of means and generalized linear regressions.

RESULTS

Our sample included 8,661 cancer survivors and 17,332 matched noncancer controls. Receipt of recommended care was associated with higher outpatient costs for eight indicators, and higher inpatient and total costs for five indicators. For three measures (visit every 6 months for patients with chronic obstructive pulmonary disease or diabetes, and glycosylated hemoglobin or fructosamine every 6 months for patients with diabetes), costs for cancer survivors who received recommended care increased less than for noncancer controls. The absence of avoidable events was associated with lower costs of each type. An annual eye examination for patients with diabetes was associated with lower inpatient costs.

CONCLUSION

Higher-quality processes of care may not reduce short-term costs, but the prevention of avoidable outcomes reduces costs. The association between quality and cost was similar for cancer survivors and noncancer controls.

Patient sharing and quality of care: measuring outcomes of care coordination using claims data

BACKGROUND

With the goal of improving clinical efficiency and effectiveness, programs to enhance care coordination are a major focus of health care reform.

OBJECTIVE

To examine whether "care density"--a claims-based measure of patient sharing by office-based physicians--is associated with measures of quality. Care density is a proxy measure that may reflect how frequently a patient's doctors collaborate.

RESEARCH DESIGN

Cohort study using administrative databases from 3 large commercial insurance plans.

SUBJECTS

A total of 1.7 million adult patients; 31,675 with congestive heart failure, 78,530 with chronic obstructive pulmonary disease, and 240,378 with diabetes.

MEASURES

Care density was assessed in 2008. Prevention Quality Indicators (PQIs), 30-day readmissions, and Healthcare Effectiveness Data and Information Set quality indicators were measured in the following year.

RESULTS

Among all patients, we found that patients with the highest care density density--indicating high levels of patient sharing among their office-based physicians--had significantly lower rates of adverse events measured as PQIs compared with patients with low-care density (odds ratio=0.88; 95% confidence interval, 0.85-0.92). A significant association between care density and PQIs was also observed for patients with diabetes mellitus but not congestive heart failure or chronic obstructive pulmonary disease. Diabetic patients with higher care density scores had significantly lower odds of 30-day readmissions (odds ratio=0.68, 95% confidence interval, 0.48-0.97). Significant associations were observed between care density and Healthcare Effectiveness Data and Information Set measures although not always in the expected direction.

CONCLUSION

In some settings, patients whose doctors share more patients had lower odds of adverse events and 30-day readmissions.

Collaboration Between Surgeons and Medical Oncologists and Outcomes for Patients With Stage III Colon Cancer

PURPOSE

Collaboration between specialists is essential for achieving high-value care in patients with complex cancer needs. We explore how collaboration between oncologists and surgeons affects mortality and cost for patients requiring multispecialty cancer care.

PATIENTS AND METHODS

This was a retrospective cohort study of patients with stage III colon cancer from SEER-Medicare diagnosed between 2000 and 2009. Patients were assigned to a primary treating surgeon and oncologist. Collaboration between surgeon and oncologist was measured as the number of patients shared between them; this has been shown to reflect advice seeking and referral relationships between physicians. Outcomes included hazards for all-cause mortality, subhazards for colon cancer-specific mortality, and cost of care at 12 months.

RESULTS

A total of 9,329 patients received care from 3,623 different surgeons and 2,319 medical oncologists, representing 6,827 unique surgeon-medical oncologist pairs. As the number of patients shared between specialists increased from to one to five (25th to 75th percentile), patients experienced an approximately 20% improved survival benefit from all-cause and colon cancer-specific mortalities. Specifically, for each additional patient shared between oncologist and surgeon, all-cause mortality improved by 5% (hazard ratio, 0.95; 95%CI, 0.92 to 0.97), and colon cancer-specific mortality improved by 5% (subhazard ratio, 0.95; 95% CI, 0.91 to 0.97). There was no association with cost.

CONCLUSION

Specialist collaboration is associated with lower mortality without increased cost among patients with stage III colon cancer. Facilitating formal and informal collaboration between specialists may be an important strategy for improving the care of patients with complex cancers.

Prevention, identification, and management of late effects through risk reduction

OBJECTIVES

To review the psychosocial factors that affect quality of care and quality of life in cancer survivors, and discuss risk reduction through assessment for the early identification and management of the residual, long-term, and late effects.

DATA SOURCES

Literature review on survivorship and intervention strategies.

CONCLUSION

There is limited literature on the psychosocial dimensions of cancer survivorship and even more limited on strategies for care.

IMPLICATIONS FOR NURSING PRACTICE

Nurses have a major leadership role in assisting survivors and their families. Much research is needed to provide the knowledge needed for care.