Using health aides to build patient rosters in primary care clinics in Misiones province, Argentina: impact of information technology with results-based financing on appropriateness of care

2017 ◽  
Author(s):  
Christel Vermeersch
Keyword(s):  
Primary Care ◽  
Information Technology ◽  
Primary Care Clinics ◽  
Appropriateness Of Care ◽  
Misiones Province ◽  
Results Based Financing

scholarly journals Patient perspectives on tablet-based technology to collect risk factor information in primary care

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Leanne Kosowan ◽  
Alan Katz ◽  
Gayle Halas ◽  
Alexander Singer
Keyword(s):  
Primary Care ◽  
Information Technology ◽  
Risk Factor ◽  
Risk Behaviours ◽  
Patient Risk ◽  
Self Reflection ◽  
Primary Care Clinics ◽  
User Friendly ◽  
The Impact ◽  
Risk Factor Information

Abstract Background Primary care provides an opportunity to introduce prevention strategies and identify risk behaviours. Algorithmic information technology such as the Risk Factor Identification Tool (RFIT) can support primary care counseling. This study explores the integration of the tablet-based RFIT in primary care clinics to support exploration of patient risk factor information. Methods Qualitative study to explore patients’ perspectives of RFIT. RFIT was implemented in two primary care clinics in Manitoba, Canada. There were 207 patients who completed RFIT, offered to them by eight family physicians. We conducted one-on-one patient interviews with 86 patients to capture the patient’s perspective. Responses were coded and categorized into five common themes. Results RFIT had a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Patients reported that the tablet-based RFIT provided a user-friendly interface that enabled self-reflection while in the waiting room. Patients discussed the impact of RFIT on the patient-provider interaction, utility for the clinician, their concerns and suggested improvements for RFIT. Among the patients who used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 min of PA a week, and 8.2% lived in poverty. Conclusion RFIT is a user-friendly tool for the collection of patient risk behaviour information. RFIT is particularly useful for patients lacking continuity in the care they receive. Information technology can promote self-reflection while providing useful information to the primary care clinician. When combined with practical tools and resources RFIT can assist in the reduction of risk behaviours.

scholarly journals Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: A Pragmatic Evaluation (Preprint)

2020 ◽  
Author(s):  
Leanne Kosowan ◽  
Alan Katz ◽  
Gayle Halas ◽  
Lisa LaBine ◽  
Alexander Singer
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Information Technology ◽  
Risk Factor ◽  
Primary Prevention ◽  
Primary Care Clinics ◽  
Clinic Staff ◽  
Algorithmic Information ◽  
Prevention Counseling ◽  
Risk Factor Information

BACKGROUND Tobacco use, physical inactivity and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice and support by a primary care provider leads to behaviour change attempts among patients. However, although physicians consider preventative health important the focus on symptoms presentation, acute care and medication review often overshadows primary prevention counseling. OBJECTIVE This study evaluates feasibility, adoption and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. METHODS This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. RFIT was implemented in two primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. RESULTS Clinicians reported a smooth and fast transfer of RFIT responses to an EMR encounter note. Two hundred seven patients used the RFIT with a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Among the patients that used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 minutes of PA a week, and 8.2% lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. CONCLUSIONS Clinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize and synthesize individual health information to inform and tailor primary care counseling to the patients’ context and readiness to change. RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, RFIT can inform brief interventions within primary care.

Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: A Pragmatic Evaluation (Preprint)

2020 ◽  
Author(s):  
Leanne Kosowan ◽  
Alan Katz ◽  
Gayle Halas ◽  
Lisa LaBine ◽  
Alexander Singer
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Information Technology ◽  
Risk Factor ◽  
Primary Prevention ◽  
Patient Risk ◽  
Primary Care Clinics ◽  
Clinic Staff ◽  
Prevention Counseling ◽  
Risk Factor Information

BACKGROUND Tobacco use, physical inactivity and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice and support by a primary care provider leads to behaviour change attempts among patients. However, although physicians consider preventative health important the focus on presentation, acute care and medication review often overshadows primary prevention counseling. OBJECTIVE This study evaluates feasibility, adoption and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. METHODS This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. RFIT was implemented in two primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. RESULTS Clinicians reported a smooth and fast transfer of RFIT responses to an EMR encounter note. There were 207 patients that used the RFIT with a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Among the patients that used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 minutes of PA a week, and 8.2% lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. CONCLUSIONS Clinicians and clinic staff positively reviewed the use of information technology in primary care. RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, RFIT can inform brief interventions within primary care.

Sign in / Sign up

Export Citation Format

Share Document