Abstract:Background
Primary care is considered the foundation of an effective health care system. However, primary care departments at academic health centers have numerous challenges to overcome when trying to achieve the Triple Aim.
Methods
As part of an organizational initiative to redesign primary care at a large academic health center, departments of internal medicine, general pediatrics and adolescent medicine, and family medicine worked together to comprehensively redesign primary care. This article describes … Show more
“…Primary care redesign has been increasingly evaluated but has yet to be thoroughly explored from an implementation science perspective. This study takes a novel implementation science perspective and in so doing highlights a key lesson: Practice redesign can redistribute responsibility and patient connection throughout a team, but success of a team‐based model might depend on clear role definition.…”
Section: Discussionmentioning
confidence: 99%
“…As a complex system, it deserves an evaluation approach that is flexible and nuanced and targets the right outcomes at the right time (eg, acceptability and adoption as outcomes in early implementation phase). 7 Primary care redesign has been increasingly evaluated 19 but has yet to be thoroughly explored from an implementation science perspective. This study takes a novel implementation science perspective and in so doing highlights a key lesson: Practice redesign can redistribute responsibility and patient connection throughout a team, but success of a team-based model might depend on clear role definition.…”
Section: Md/app Pairings For Team-based Carementioning
Purpose
Implementing team‐based care into existing primary care is challenging; understanding facilitators and barriers to implementation is critical. We assessed adoption and acceptability of new roles in the first 6 months of launching a team‐based care model focused on preventive care, population health, and psychosocial support.
Methods
We conducted qualitative rapid ethnography at a community‐based test clinic, including 74 hours of observations and 28 semi‐structured interviews. We identified implementation themes related to team‐based care and specifically the integration of three roles purposively designed to enhance coordination for better patient outcomes, including preventive screening and mental health: (1) medical assistants as care coordinators; (2) extended care team specialists, including clinical pharmacist and behavioral health professional; and (3) advanced practice providers (APPs)—ie, nurse practitioners and physician assistants.
Results
All stakeholders (ie, patients, providers, and staff) reported positive perceptions of care coordinators and extended care specialists; these roles were well defined and quickly implemented. Care coordinators effectively managed care between visits and established strong patient relationships. Specialist colocation facilitated patient access and well‐supported diabetes services and mental health care. We also observed unanticipated value: Care coordinators relayed encounter‐relevant chart information to providers while scribing; extended care specialists supported informal continuing medical education. In contrast, we observed uncertain definition and expectations of the APP role across stakeholders; accordingly, adoption and acceptability of the role varied.
Conclusions
Practice redesign can redistribute responsibility and patient connection throughout a team but should emphasize well‐defined roles. Ethnography, conducted early in implementation with multistakeholder perspectives, can provide rapid and actionable insights about where roles may need refinement or redefinition to support ultimate physical and mental health outcomes for patients.
“…Primary care redesign has been increasingly evaluated but has yet to be thoroughly explored from an implementation science perspective. This study takes a novel implementation science perspective and in so doing highlights a key lesson: Practice redesign can redistribute responsibility and patient connection throughout a team, but success of a team‐based model might depend on clear role definition.…”
Section: Discussionmentioning
confidence: 99%
“…As a complex system, it deserves an evaluation approach that is flexible and nuanced and targets the right outcomes at the right time (eg, acceptability and adoption as outcomes in early implementation phase). 7 Primary care redesign has been increasingly evaluated 19 but has yet to be thoroughly explored from an implementation science perspective. This study takes a novel implementation science perspective and in so doing highlights a key lesson: Practice redesign can redistribute responsibility and patient connection throughout a team, but success of a team-based model might depend on clear role definition.…”
Section: Md/app Pairings For Team-based Carementioning
Purpose
Implementing team‐based care into existing primary care is challenging; understanding facilitators and barriers to implementation is critical. We assessed adoption and acceptability of new roles in the first 6 months of launching a team‐based care model focused on preventive care, population health, and psychosocial support.
Methods
We conducted qualitative rapid ethnography at a community‐based test clinic, including 74 hours of observations and 28 semi‐structured interviews. We identified implementation themes related to team‐based care and specifically the integration of three roles purposively designed to enhance coordination for better patient outcomes, including preventive screening and mental health: (1) medical assistants as care coordinators; (2) extended care team specialists, including clinical pharmacist and behavioral health professional; and (3) advanced practice providers (APPs)—ie, nurse practitioners and physician assistants.
Results
All stakeholders (ie, patients, providers, and staff) reported positive perceptions of care coordinators and extended care specialists; these roles were well defined and quickly implemented. Care coordinators effectively managed care between visits and established strong patient relationships. Specialist colocation facilitated patient access and well‐supported diabetes services and mental health care. We also observed unanticipated value: Care coordinators relayed encounter‐relevant chart information to providers while scribing; extended care specialists supported informal continuing medical education. In contrast, we observed uncertain definition and expectations of the APP role across stakeholders; accordingly, adoption and acceptability of the role varied.
Conclusions
Practice redesign can redistribute responsibility and patient connection throughout a team but should emphasize well‐defined roles. Ethnography, conducted early in implementation with multistakeholder perspectives, can provide rapid and actionable insights about where roles may need refinement or redefinition to support ultimate physical and mental health outcomes for patients.
“…Organizationally, this panel adjustment plan was clear enough to use in determining compensation, opening and closing panels, and making physician hiring decisions. Weighted panel sizes are also organizationally used for making staffing decisions, setting compensation, 22 , 23 building registries for chronic disease (eg, diabetes), and outreach to patients, all critical components of a high-performing primary care system.…”
Section: Discussionmentioning
confidence: 99%
“…We only considered established physicians who were present before and after the panel weighting was implemented. 22 We also compared the number of physicians with open panels. An “open panel” is defined as the ability to accept new patients.…”
Background:Health system redesign necessitates understanding patient population characteristics, yet many primary care physicians are unable to identify patients on their panel. Moreover, accounting for differential workload due to patient variation is challenging. We describe development and application of a utilization-based weighting system accounting for patient complexity using sociodemographic factors within primary care at a large multidisciplinary group practice.Methods:A retrospective observational study was conducted of 27 clinics across primary care serving more than 150 000 patients. Before and after implementation, we measured empanelment by comparing weighted to unweighted panel size and the number of physicians who could accept patients. Perceived access was measured by the number of patients strongly agreed that an appointment was available when needed.Results:After instituting weighting, the percentage of physicians with open panels decreased for family physicians and pediatricians, but increased for general internists; the number of active patients increased by 2%. One year after implementation, perceived access improved significantly in family and general internal medicine clinics (P < .05). There were no significant changes for general pediatric and adolescent medicine patients.Conclusions:The creation of a weighing system accounting for complexity resulted in changes in practice closure, increased total patients, and improved access.
“…Physician training on the EHR (electronic health record) is now included, but baby boomer generation physicians will need additional training; the migrating physician license recertification to a computer based testing model is one way to help baby boomer become more comfortable with IT [9]. Physicians who enter an ACO are more likely to adopt IT, but the healthcare workforce requires training in health IT [10]. As strategies for improvements are increasing more measures and Health IT standards are being considered as met quality is shown through data, adapting to Health IT is a must for physicians as it is part of healthcare and is increasingly becoming part of the healthcare landscape as it drives analysis and meets the Triple Aim [11].…”
Health IT (Information Technology) is new to the healthcare industry, even though the term surfaced in 2008 the true meaning of what it is and how data aggregation, evaluation, and validation of patient data and information drives a successful quality healthcare organization. Understanding of key factors, what quality is and how it is measured, helps bridge together healthcare and technology for an organization to be successful in reporting quality measures for the best patient care.
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