Documents
Documents
Abstract Purpose To address the extent to which Federally Qualified Health Centers (FQHCs) and independent and provider-based Rural Health Clinics (RHCs) were using telehealth prior […]
To deliver on the promise of high-quality, value-based care for our patients in the context of workforce shortages and an aging population, risk stratification is […]
Background The Health Equity Payment (HEP) scheme was developed by population health leads from NHS Leicester, Leicestershire and Rutland (LLR) Integrated Care Board (ICB), intended […]
Abstract Importance Prior research conducted in private for-profit health care systems has suggested that social determinants of health (SDOH) play a role in adverse postoperative […]
Abstract Background Family physicians (FP) are critical in providing outpatient end-of-life (EOL) care, yet most continuity measures do not consider temporal changes in visits. The […]
Abstract Objective: To compare the risk of incident cardiovascular disease (CVD) events following sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB). Background: Bariatric surgery is […]
Abstract Background The use of artificial intelligence and machine learning (ML) tools is now common in the advancement of health care services and clinical risk […]
Risk stratification models have traditionally used medical and pharmacy claims data combined with other sources, such as electronic health records (EHRs). But provider organizations often […]
People usually go to the Emergency Department (ED) when they are experiencing a medical emergency. But some people choose the ED for non-urgent care, which […]
This webinar provides an introduction to the principle of case mix and the constructs within the ACG System that make this possible. This session is a […]
This white paper provides an overview of the ACG System and how it is being used to support a range of clinical and commissioning activities […]
Med Care 38:836-846. Department of Family Medicine, University of Rochester, New York, NY, USA BACKGROUND: Primary care physicians (PCPs) exhibit widely varying referral rates, resulting […]
Eval Health Prof 37:434-456. National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan It is well known that the differences-in-differences (DD) estimator is based […]
Manag Care 24:46-52. University of Texas, Houston, TX, USA; Michael E. DeBakey Veterans Affairs Medical Center HSR&D, Houston, TX, USA; Baylor College of Medicine, Houston, […]
J Natl Cancer Inst 107:p11: kju424. University Health Network, Toronto, ON, Canada; Institute of Medical Sciences, Toronto, ON, Canada BACKGROUND: We examined the impact of […]
Med Care 41:753-760. VA Puget Sound Health Care System, Seattle, WA, USA BACKGROUND: Although most widely used risk adjustment systems use diagnosis data to classify […]
Med Care 40:303-314. Institute for Health Care Research and Policy, Georgetown Public Policy Institute, Georgetown University, Washington, DC, USA OBJECTIVE: To compare the process of […]
Ann Fam Med 13:436-445. Bruyère Research Institute, Ottawa, ON, Canada; University of Ottawa, Ottawa, ON, Canada; Ottawa Hospital Research Institute, Ottawa, ON, Canada; Institute for […]
Circ Cardiovasc Qual Outcomes 8:586-592. University of British Columbia, Vancouver, BC, Canada BACKGROUND: The prevalence of the use of secondary prevention cardiovascular medications is lower […]
Arthritis Rheumatol 66:488-496. University of Toronto and Women’s College Hospital, Toronto, ON, Canada OBJECTIVE: To determine the relationship between surgeon experience with, and complications following, […]
Arch Intern Med 162:2269-2276. Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA BACKGROUND: The prevalence, health care […]
Health Serv Res 26:53-74. Department of Health Policy and Management, Johns Hopkins School of Hygiene and Public Health, Baltimore, MD, USA This article describes a […]
Med Care 49:932-939. Institute for Clinical Evaluative Sciences, Department of Health Management, Policy and Evaluation, University of Ottawa, Ottawa, ON, Canada BACKGROUND: Administrative healthcare databases […]
Health Aff 17:177-189. Wagner Graduate School, New York University, New York, NY, USA. “Preventable” hospitalizations have been proposed as indicators of poor health plan performance. […]
BMC Health Serv Res 10:22. Aragon Health Science Institute, Zaragoza, Spain BACKGROUND: In the financing of a national health system, where pharmaceutical spending is one […]
J Ambul Care Manage 19:86-89. Center for Research in Ambulatory Health Care Administration, Englewood, CO, USA A variety of profiling models and tools is utilized […]
J Ambul Care Manage 32:216-225. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA Approximately 7 of 10 (and 95% of the elderly) people […]
Scand J Prim Health Care 29:104-109. Lund University, Department of Clinical Sciences in Malmö, General Practice/Family Medicine, Malmö, Sweden OBJECTIVE. This study examined whether age, […]
Ambul Pediatr 3:253-262. Health Policy Institute, Georgetown University, Washington, DC, USA OBJECTIVE: To examine differences in selected processes of asthma care provided to Medicaid-enrolled children […]
Health Serv Res 39:985-1003. Health Management and Policy, University of Michigan, Ann Arbor, MI, USA OBJECTIVE: To investigate whether different risk-adjustment methodologies and economic profiling […]
Health Serv Res 43:1888-1905. Department of Health Services, University of Washington, Seattle, WA, USA OBJECTIVE: To estimate the joint effect of a multifaceted access intervention […]
Med Care 43:189-193. Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA BACKGROUND: Although patient-reported health-related quality of life (HRQOL) is […]
Aging Ment Health 15:204-213. School of Health Science, Blekinge Institute of Technology, Karlskrona, Sweden OBJECTIVE: The relationship between sleep complaints, comorbidity and health-related quality of […]
Acad Emerg Med 20:193-199. Institute for Clinical Evaluative Sciences, Toronto, ON, Canada OBJECTIVES: Atrial fibrillation is common in the emergency department (ED). Mortality rates at […]
PLoS One 7:e39518. Institute for Clinical Evaluative Sciences, Toronto, ON, Canada BACKGROUND: Although the benefits of physical activity in preventing chronic medical conditions are well […]
Health Care Manag Sci 3:159-169. Division of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, CA, USA This study used […]
Can J Aging 24 Suppl 1:81-95. Manitoba Centre for Health Policy, Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada Medication use is […]
Popul Health Manag 11:217-218. Mathematica Policy Research, Washington, DC, USA Although concurrent conditions such as complications and comorbidities are common in people with diabetes, both […]
Med Clin (Barc) 133:290-295. Published in Spanish. Dirección de Planificación, Badalona Serveis Assistencials SA, Badalona, Barcelona, España BACKGROUND AND OBJECTIVE: To determine the health care […]
Inquiry 35:171-177. Health Research Center, Institute for Research and Education, Health System Minnesota, Minneapolis, MN, USA Managed care plans are a type of health insurance. They […]
Gynecol Oncol 120:63-67. Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Toronto, Toronto, ON, Canada OBJECTIVE: This population-based study characterizes available physician […]
Ann Epidemiol 22:881-887. Institute for Clinical Evaluative Sciences, Toronto, ON, Canada PURPOSE: Administrative healthcare databases are used for health services research, comparative effectiveness studies, and […]
J Clin Epidemiol 65:924-933. Cancer Control and Screening Research Group, Department of Public Health, University of Otago, Wellington South, New Zealand OBJECTIVE: This article reviews […]
Am Heart J 165:939-948. Institute for Clinical Evaluative Sciences, Toronto, ON, Canada BACKGROUND: Emergency department (ED) use by patients with atrial fibrillation is high and […]
J Gen Intern Med 28:386-391. Office of Women’s Health, Mayo Clinic, Rochester, MN, USA BACKGROUND: Patients requiring interpreters may utilize the health care system differently […]
Diabetes Care 36:3018-3026. Women’s College Research Institute, Women’s College Hospital, Toronto, ON, Canada OBJECTIVE: Metformin has been associated with a reduction in breast cancer risk […]
Rev Peru Med Exp Salud Publica 30:345-347. Published in Spanish. Directorate of Planning, Badalona Serveis Assistencials SA, Badalona, Spain No abstract
Arthritis Care Res Department of Medicine, Rheumatology Division, University of Wisconsin, Madison, WI, USA OBJECTIVE: Despite numerous studies reporting increased cardiovascular disease (CVD) in patients […]
BMC Psychiatry 14:84. EpiChron Research Group on Chronic Diseases, Aragón Health Sciences Institute (IACS), University Hospital, Zaragoza, Spain BACKGROUND: The epidemiologic study of comorbidities of […]
J Public Health 36:300-307. Department of Health Policy & Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. BACKGROUND: Incorporating longitudinal information […]
This study explored the utility of the Johns Hopkins Aggregated Diagnostic Groups (ADGs) as a noncategorical measure of child health in administrative health data. Canadian […]
In: Population Association of America, eds. 2014 Annual Meeting, Population Association of America. Princeton, NJ, USA: Population Association of America. Cornell University, Ithaca, NY, USA […]
2015 IEEE International Conference on Big Data :2551-2559. Robert Bosch (US), Palo Alto, CA, USA Telehealth provides an opportunity to reduce healthcare costs through remote […]
Washington, DC: International Congress of Actuaries. University of Cape Town, South Africa The aim of this paper is to highlight the key methodological considerations in […]
J Am Statistical Assoc 101:911-923. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA Procedures for analyzing and comparing health care providers’ effects on […]
Health Watch :14-17, 32-34. Denver, Colorado, office of Wakely Consulting Group This article discusses some of the most important considerations in implementing risk adjustment within […]
In: Wrightson CW, eds. Financial strategy for managed care organizations: rate setting, risk adjustment, and competitive advantage. Ann Arbor, MI, USA: Health Administration Press:165-225. Health […]
Massachusetts Rate Setting Commission. Final report and recommendation. Boston, MA, USA: Massachusetts Rate Setting Commission. Massachusetts Rate Setting Commission, Boston, MA, USA We investigated methods […]
In: American Statistical Association, eds. Proceedings of the Section on Statistics in Epidemiology. Alexandria, VA, USA: American Statistical Association:42-49. Department of General Internal Medicine, Boston […]
Toronto, ON, Canada: Institute for Clinical Evaluative Sciences. Institute for Clinical Evaluative Sciences, Toronto, ON, Canada STUDY HYPOTHESES: We hypothesize that the apnea-hypopneas index (AHI), […]
Department of Biostatistics Working Paper 51. Baltimore, MD, USA: Johns Hopkins University. Johns Hopkins University, Baltimore, MD, USA OBJECTIVE. To examine effects of primary care […]
York, UK: University of York. University of York, York, UK Health care providers are almost always universally reimbursed by third party purchasers. As a result, […]
Rockville, MD, USA: Agency for Healthcare Research and Quality. Johns Hopkins University, Baltimore, MD, USA BACKGROUND. Bariatric surgery leads to weight loss, but it is […]
Journal of Statistics and Management Systems 14:843-868. This paper adopted the quantile regression (QR) estimator to assess the effects of the medical utilization factors (changes […]
Seattle, WA, USA: University of Washington (doctoral dissertation). University of Washington, Seattle, WA, USA This dissertation presents an economic analysis of patient-provider communication through secure […]
Madrid, Spain: Universidad Autonoma de Madrid (doctoral dissertation). Published in Spanish. Universidad Autonoma de Madrid, Madrid, Spain INTRODUCCIÓN: La insuficiencia cardiaca (IC) es un problema […]
F1000Research 2:145. Department of Medicine, Johns Hopkins University Schools of Medicine and Public Health, Baltimore, MD, USA OBJECTIVE: Previous randomized clinical trials and their meta-analyses […]
This Case Study shows how Leicester City CCG, one of the most ethnically diverse areas of the UK, analyzed emergency admission rates for all practices, to learn that practices with lower emergency admission rates had significantly higher coding completeness and GP patient survey scores. Learn more.
Johns Hopkins University Facilitating Equity & Efficiency in Primary Health Care, Malaysia using the ACG Case Mix System Dr Karen Kinder Executive Director
HealthPartners Risk Adjustment in Total Cost of Care & Resource Use: Re-Thinking Risk Adjustment Chad Heim Gary Kitching
Minnesota Department of Human Services The MN Health Care Home Initiative and ACG Dean Ewald
Mayo Clinic Assessment of Risk Stratification Methods Identifying Patients for Care Coordination within a Medical Home Lindsey R. Haas, MPH
Richmond Clinical Commissioning Group Using ACG to Support Delivery of Integrated Care Anna Raleigh, Consultant in Public Health Dr Caoimhe O Sullivan, Public Health Principal […]
DST Health Solutions Health Insurance Marketplace Amy Salls
Identifying Near Term Heath Cost Risk in the Absence of Claims Data —Bernard Khomenko, CEBS Vice President of Client Solutions, Data Smart Solutions
Using the ACG Software for a Full Picture of Population Risk Under the Accountable Care Act (ACA) —Amy Salls, DST Health Solutions David Bodycombe, Johns […]
Hadi Kharrazi, MD, PhD, Assistant Professor Health Policy and Management, Johns Hopkins Bloomberg School of Public Health talks about EMRs, other future data sources and […]
Background: A small number of people with chronic obstructive pulmonary disease (COPD) receive pulmonary function testing around the time of diagnosis. Because omitting testing increases […]
Abstract Background: Using electronic health records (EHRs), in addition to claims, to systematically identify patients with factors associated with adverse outcomes (geriatric risk) among older […]
Abstract Background: Hidradenitis suppurativa (HS) is a chronic debilitating disease with long-lasting comorbidities that impose direct and indirect costs on the health care system. However, […]
Abstract Background Pain is more common among people living with HIV (PLWH) than their counterparts; however, it is unclear whether analgesic use differs by […]
Abstract Primary Health Networks (PHNs) are tasked to enhance the efficiency and effectiveness of general practice. Gold Coast Primary Health Network (GCPHN) has been collecting […]
Abstract Background Physical therapy (PT) is an accepted standard of care after total joint arthroplasty (TJA) and essential to maximizing joint functionality and minimizing complications […]
Abstract Background The Johns Hopkins ACG System is widely used to predict patient healthcare service use and costs. Most applications have focused on adult populations. […]
Abstract Background The majority of new hepatitis C (HCV) cases occur among people who inject drugs. In recent years, multidisciplinary models of HCV treatment have […]
Abstract Background Currently, 11% of patients seen in the emergency department for atrial fibrillation die within 1 year of the visit. Our objective was to […]
Abstract Objectives To identify and summarise existing indices for measuring multimorbidity beyond disease counts, to establish which indices include mental health comorbidities or outcomes, and […]
Abstract While an increasing number of girls and women are being identified with autism, we know little about the health of reproductive-aged autistic women. Our […]
Abstract Objectives To determine the impact of frailty on postoperative readmission, morbidity, and mortality among patients undergoing surgery for endometrial cancer. Methods Patients with endometrial […]
Abstract Background Type 2 diabetes mellitus (T2D) is often accompanied by chronic diseases, including mental health problems. We aimed at studying mental health comorbidity prevalence […]
Abstract OBJECTIVE Pituitary adenomas (PAs) are among the most common intracranial tumors. Understanding the clinical effects of various modifiable risk factors (MRFs) and nonmodifiable risk […]
Abstract Aims To describe the impact of diabetes comorbidities on the health care services use and costs of a cohort of elderly patients with diabetes […]
Abstract Hypothesis There is limited data on the care and outcomes of individuals with both chronic obstructive pulmonary disease (COPD) and lung cancer, particularly in […]
Abstract Background: A standard measure of the cancer diagnostic pathway, diagnostic interval, is the time from “first presentation of cancer” to diagnosis. Cancer presentation may be […]
Abstract Objective Frailty has been shown to portend worse outcomes in surgical patients. Our goal was to identify the impact of frailty on outcomes and […]
Abstract Background Frailty aggregates a composite of geriatric and elderly features that is classified into a singular syndrome; literature thus far has proven its influence […]
Abstract Introduction This study assesses the risk of infection and clinical outcomes in a large consecutive population of cancer and non-cancer patients tested for SARS-CoV-2 […]
Abstract Objectives To examine the impact of time to surgery (TTS) on survival among patients with stage I non-small cell lung cancer (NSCLC). Methods All […]
