Abstract:Background: Many primary care practices participating in patient-centered medical home (PCMH) transformation initiatives are expanding the work roles of their medical assistants (MAs). Little is known about attitudes of MAs or barriers and facilitators to these role changes.Methods: Secondary data analysis of qualitative cross-case comparison study of 15 New Jersey primary care practices participating in a PCMH project during 2012 to 2013. Observation field notes and in-depth and key informant interviews (with… Show more
“…Ferrante et al 10 note that medical assistant roles move from relatively passive to more active in Patient-Centered Medical Homes. There are multiple barriers to this shift, and multiple personal responses to the new roles by both clinicians and medical assistants.…”
“…Ferrante et al 10 note that medical assistant roles move from relatively passive to more active in Patient-Centered Medical Homes. There are multiple barriers to this shift, and multiple personal responses to the new roles by both clinicians and medical assistants.…”
“…Despite their lack of formal training, medical support personnel are being tasked with responsibilities such as: tracking lab reports (Naughton, Adelman, Bricker, Miller-Day, & Gabbay, 2013); administering vaccines (Ladden et al, 2013); serving as health coaches to improve lifestyle behaviors (Djuric et al, 2017); clinical scribing (Bodenheimer et al, 2014); and screening patients for risky behaviors (smoking, drinking, low physical activity, and unhealthy diet) (Ferrer, Mody-Bailey, Jaen, Gott, & Araujo, 2009). Outcomes in studies that have focused on or included the role expansion of medical support personnel have varied, and there is currently a limited understanding as to why there was success in some studies and not in others (Ferrante et al, 2018). Having a clearer understanding of how to best equip medical support personnel for their changing roles in healthcare is critical to patient care outcomes, and can provide insights into an understudied area of the transformation that is occurring in primary care practice (Bodenheimer et al, 2014;Ferrante et al, 2018).…”
Section: The Expanding Roles Of Medical Support Personnelmentioning
confidence: 99%
“…Outcomes in studies that have focused on or included the role expansion of medical support personnel have varied, and there is currently a limited understanding as to why there was success in some studies and not in others (Ferrante et al, 2018). Having a clearer understanding of how to best equip medical support personnel for their changing roles in healthcare is critical to patient care outcomes, and can provide insights into an understudied area of the transformation that is occurring in primary care practice (Bodenheimer et al, 2014;Ferrante et al, 2018).…”
Section: The Expanding Roles Of Medical Support Personnelmentioning
confidence: 99%
“…into an understudied area of the transformation that is occurring in primary care practice (Bodenheimer et al, 2014;Ferrante et al, 2018).…”
Section: The Expanding Roles Of Medical Support Personnelmentioning
confidence: 99%
“…Specifically, primary care physicians report a lack of selfperceived competency, a desire for education, and a need for improved, specific training in developmental screening (Golnik, Ireland, & Borowsky, 2009). Facilitators to implementation have also been identified and evaluated; most notably is the expanding roles of medical support personnel (Baker et al, 2010;Bernier, Strobel, & Lucas, 2018;Bodenheimer et al, 2014;Ferrante et al, 2018). The duration of formal training for medical support personnel, typically at a community college or a commercial training program, varies from three months to two years, with little standardization of curricula, and few programs exist nationally that address the skills needed for expanded roles (Bodenheimer et al, 2014).…”
Early treatment of developmental delays leads to improved outcomes for children (Yeung et al., 2014). In order to benefit from early intervention, children with developmental delays must be identified and referred at a young age. Although the use of validated developmental screening tools is supported by American Academy of Pediatrics (AAP) guidelines, these instruments are used variably by general physicians in pediatric practice (King et al., 2010). Because of the expanding work roles of medical support personnel, it is worthwhile to determine if this group can administer and score a developmental screening tool after completing an educational intervention to assist general pediatric practices in using these tools in accordance with the AAP mandate. Currently, no peer-reviewed published research exists regarding training medical support personnel to administer and score a standardized developmental screening tool. Guided by Kirkpatrick's four-level evaluation model, the current mixed methods study sought to: 1) assess the effect of an educational intervention on the knowledge of medical support v TABLE OF CONTENTS ABSTRACT…………………………………………………………………………… iii LIST OF TABLES…………………………………………………………………….. vi CHAPTER ONE……………………………………………………………………...
BACKGROUND:Little is known about the frequency, patterns, and determinants of readmissions among patients initially hospitalized for an ambulatory care-sensitive condition (ACSC). The degree to which hospitalizations in close temporal proximity cluster has also not been studied. Readmission patterns involving clustering likely reflect different underlying determinants than the same number of readmissions more evenly spaced. OBJECTIVE: To characterize readmission rates, patterns, and predictors among patients initially hospitalized with an ACSC. DESIGN: Retrospective analysis of the 2010-2014 Nationwide Readmissions Database. PARTICIPANTS: Non-pregnant patients aged 18-64 years old during initial ACSC hospitalization and who were discharged alive (N = 5,007,820). MAIN MEASURES: Frequency and pattern of 30-day allcause readmissions, grouped as 0, 1, 2+ non-clustered, and 2+ clustered readmissions. KEY RESULTS: Approximately 14% of patients had 1 readmission, 2.4% had 2+ non-clustered readmissions, and 3.3% patients had 2+ clustered readmissions during the 270-day follow-up. A higher Elixhauser Comorbidity Index was associated with increased risk for all readmission groups, namely with adjusted odds ratios (AORs) ranging from 1.12 to 3.34. Compared to patients aged 80 years and older, those in younger age groups had increased risk of 2+ non-clustered and 2+ clustered readmissions (AOR range 1.27-2.49). Patients with chronic versus acute ACSCs had an increased odds ratio of all readmission groups compared to those with 0 readmissions (AOR range 1.37-2.69). CONCLUSIONS: Among patients with 2+ 30-day readmissions, factors were differentially distributed between clustered and non-clustered readmissions. Identifying factors that could predict future readmission patterns can inform primary care in the prevention of readmissions following ACSC-related hospitalizations.
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