RESUMO
PURPOSE: Addressing unwarranted clinical variation in oncology is a high priority for health systems that aspire to ensure consistent levels of high-quality and cost-effective care. Efforts to improve clinical practice and standardize care have proven challenging. Advocate Physician Partners undertook a patient simulation-based practice measurement and feedback project that was focused on breast and lung cancer to engage oncologists in the care standardization process. METHODS: One hundred three medical oncologists cared for online simulated patients using the Clinical Performance and Value platform, receiving feedback on how their care decisions compared with evidence-based guidelines and their peers. We repeated this process every 4 months over six rounds, measuring changes in quality-of-care scores. We then compared simulated patient results with available patient-level claims data. RESULTS: Over the course of the project, overall quality-of-care scores improved 11.9% (P < .001). Diagnostic accuracy increased 6.7% (P < .001) and correlated with improved treatment scores, including a nearly 10-percentage point increase in evidence-based chemotherapy regimens (P = .009) and a 56% increase in addressing palliative needs for patients with late-stage disease (P < .001). Unnecessary test ordering declined 25% (P < .001). We compared these results with available patient data and observed concordance with the metastatic imaging workup order rate for early-stage breast cancer. As unnecessary workups declined in the simulations and became more closely aligned with evidence-based guidelines, we saw similar rates of decline in the patient-level data. CONCLUSION: This study demonstrates that an oncology care standardization system that combines simulated patients with serial feedback increases evidence-based and cost-effective clinical decisions in patient simulations and patient-level data.
Assuntos
Neoplasias da Mama/epidemiologia , Análise Custo-Benefício/economia , Oncologia/economia , Qualidade da Assistência à Saúde , Neoplasias da Mama/economia , Neoplasias da Mama/terapia , Tomada de Decisões , Retroalimentação , Feminino , Fidelidade a Diretrizes , Humanos , Médicos/economiaRESUMO
INTRODUCTION: Unwanted clinical variation is common across the United States health care system and is particularly vexing in oncology owing to the complexity, morbidity, and high cost of the disease. Efforts to standardize care including guidelines and continuing medical education have had only limited impact. Disease-specific oncology clinical pathways hold the promise of reducing variation but have been hampered by a lack of ownership and accountability among oncology providers. MATERIALS AND METHODS: We describe the utility of combining a patient simulation-based clinical variation measurement with the in-house development of multidisciplinary breast cancer pathways at a National Cancer Institute-designated cancer center. RESULTS: At baseline, we found high variation in care decisions across the multidisciplinary team and within individual specialties in the management of simulated patients. Development and introduction of breast cancer clinical pathways combined with individual and group feedback on pathway adherence led to significant increases in pathway-aligned care decisions and decreases in measured variation. Overall quality scores increased from 47.5% to 61.1% (P < .001), with the largest improvement in diagnostic accuracy (+22.1%). Providers also ordered fewer unnecessary tests, saving an estimated $305 per patient case. Adherence to preferred chemotherapy regimens increased for both medical oncologists (+16%) and other members of the multidisciplinary team (+19%). CONCLUSION: Our work shows that a structured process to measure clinical variation and provide personalized feedback to an oncology multidisciplinary team drives adoption of evidence-based pathways, less unneeded spending, and higher quality care for patients.
Assuntos
Neoplasias da Mama , Procedimentos Clínicos/normas , Oncologia/normas , Equipe de Assistência ao Paciente/normas , Adulto , Idoso , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/economia , Neoplasias da Mama/terapia , Consenso , Análise Custo-Benefício , Técnicas de Apoio para a Decisão , Medicina Baseada em Evidências , Feminino , Fidelidade a Diretrizes , Humanos , Masculino , Pessoa de Meia-Idade , Equipe de Assistência ao Paciente/estatística & dados numéricos , Qualidade da Assistência à Saúde , Estados UnidosRESUMO
This project was undertaken to reduce unneeded variation among practicing primary care clinicians participating in an accountable care organization (ACO) and to raise quality and reduce costs. This real-world, quasi-controlled experiment compared ACO target improvements between 3 participating geographic regions and members within the ProHealth ACO against nonparticipating regions and members. The authors used a novel care standardization initiative to engage participating providers. This was a 2-year longitudinal study with 6 rounds of serially measured provider care decisions and customized individual and group improvement feedback. Participating providers cared for online patient simulations as they would actual patients, and their care decisions were scored against evidence-based guidelines. This approach generated significant increases in evidence-based quality scores (+27%) and reductions in unneeded testing (-55%) in the patient simulations. Improvements in the online simulated patients correlated with improvements in patient-level ACO quality measures, which showed gains above and beyond the quasi-control group. Reductions calculated for spending on unneeded tests and specialist referrals exceeded $4.8 million. This study found that supporting practicing physicians in ACOs with evidence-based feedback significantly improved care and cost-efficiency.
Assuntos
Organizações de Assistência Responsáveis/organização & administração , Redução de Custos , Custos de Cuidados de Saúde , Atenção Primária à Saúde/organização & administração , Qualidade da Assistência à Saúde/economia , Adulto , Idoso , Connecticut , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-IdadeRESUMO
BACKGROUND: Poor clinical outcomes are caused by multiple factors such as disease progression, patient behavior, and structural elements of care. One other important factor that affects outcome is the quality of care delivered by a provider at the bedside. Guidelines and pathways have been developed with the promise of advancing evidence-based practice. Yet, these alone have shown mixed results or fallen short in increasing adherence to quality of care. Thus, effective, novel tools are required for sustainable practice change and raising the quality of care. METHODS: The study focused on benchmarking and measuring variation and improving care quality for common types of breast cancer at four sites across the United States, using a set of 12 Clinical Performance and Value(®) (CPV(®)) vignettes per site. The vignettes simulated online cases that replicate a typical visit by a patient as the tool to engage breast cancer providers and to identify and assess variation in adherence to evidence-based practice guidelines and pathways. RESULTS: Following multiple rounds of CPV measurement, benchmarking and feedback, we found that scores had increased significantly between the baseline round and the final round (P < 0.001) overall and for all domains. By round 4 of the study, the overall score increased by 14% (P < 0.001), and the diagnosis with treatment plan domain had an increase of 12% (P < 0.001) versus baseline. CONCLUSION: We found that serially engaging breast cancer providers with a validated clinical practice engagement and measurement tool, the CPVs, markedly increased quality scores and adherence to clinical guidelines in the simulated patients. CPVs were able to measure differences in clinical skill improvement and detect how fast improvements were made.
RESUMO
The rate of protein secretion in host cells is inhibited during infection with several different picornaviruses, with consequences likely to have significant effects on viral growth, spread, and pathogenesis. This Sin(+) (secretion inhibition) phenotype has been documented for poliovirus, foot-and-mouth disease virus, and coxsackievirus B3 and can lead to reduced cell surface expression of major histocompatibility complex class I and tumor necrosis factor receptor as well as reduced extracellular secretion of induced cytokines such as interleukin-6 (IL-6), IL-8, and beta interferon. The inhibition of protein secretion is global, affecting the movement of all tested cargo proteins through the cellular secretion apparatus. To test the physiological significance of the Sin(-) and Sin(+) phenotypes in animal models, Sin(-) mutant viruses are needed that fail to inhibit host protein secretion and also exhibit robust growth properties. To identify such Sin(-) mutant polioviruses, we devised a fluorescence-activated cell sorter-based screen to select virus-infected cells that nevertheless expressed newly synthesized surface proteins. After multiple rounds of selection, candidate Sin(-) mutant viruses were screened for genetic stability, increased secretion of cargo molecules and wild-type translation and growth properties. A newly identified Sin(-) mutant poliovirus that contained coding changes in nonstructural proteins 2A (N32D) and 2C (E253G) was characterized. In this virus, the 2C mutation is responsible for the Sin(-) phenotype and the 2A mutation suppresses a resulting growth defect by increasing the rate of cell death and therefore the rate of viral spread. The 2A-N32D suppressor mutation was not allele specific and, by increasing the rate of cellular apoptosis, affected a completely different pathway than the 2C-E253G Sin(-) mutation. Therefore, the 2A mutation suppresses the 2C-E253G mutant phenotype by a bypass suppression mechanism.