scholarly journals Pilot study of pharmacist-assisted delivery of pharmacogenetic testing in a primary care setting

2014 ◽  
Vol 15 (13) ◽  
pp. 1677-1686 ◽  
Author(s):  
Susanne B Haga ◽  
Nancy M Allen LaPointe ◽  
Alex Cho ◽  
Shelby D Reed ◽  
Rachel Mills ◽  
...  
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Care Setting ◽  
Primary Care Setting ◽  
Pharmacogenetic Testing ◽  
Assisted Delivery

scholarly journals A Pilot Study on Using the Patient Health Questionnaire in the Primary Care Setting in Japan

2005 ◽  
Vol 6 (1) ◽  
pp. 9-16
Author(s):  
Kazuhiro Waza ◽  
Graham Antonnette ◽  
Zyzanski Stephen ◽  
Kazuo Inoue ◽  
Masato Sasaki ◽  
...  
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Care Setting ◽  
Primary Care Setting ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Patient Health

scholarly journals Delivering pharmacogenetic testing in a primary care setting

2013 ◽  
pp. 105 ◽  
Author(s):  
Rachel Mills ◽  
Deepak Voora ◽  
Bruce Peyser ◽  
Susanne Haga
Keyword(s):  
Primary Care ◽  
Care Setting ◽  
Primary Care Setting ◽  
Pharmacogenetic Testing

Efficacy of Using Physical Activity Mentors to Increase the Daily Steps of Older Adults in the Primary Care Setting: A Pilot Study

2014 ◽  
Vol 22 (1) ◽  
pp. 16-24 ◽  
Author(s):  
Karen A. Croteau ◽  
Vijiayurani Suresh ◽  
Elanna Farnham
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Primary Care ◽  
Pilot Study ◽  
Repeated Measures ◽  
Care Setting ◽  
Primary Care Setting ◽  
Chronic Illnesses ◽  
Main Effects

The purpose of this pilot study was to determine if using physical activity (PA) mentors has any additional impact on daily steps of older adults participating in the Maine in Motion (MIM) program in the primary care setting. Participants were randomly assigned to a MIM-only group (n= 14) or a MIM+ mentor group (n= 14). The MIM intervention lasted 6 months with follow-up at 12 months. Average age of participants was 64 ± 8.8 years and most participants had multiple chronic illnesses. At baseline, mean body mass index (BMI) was 32.2 ± 5.1 and average daily steps were 4,236 ± 2,266. Repeated-measures ANOVA revealed significant main effects for steps,F(2.324, 59.104) = 4.168,p= .015, but no main effects for group,F(1, 25) = 2.988,p= .096, or time-by-group interaction,F(2.324, 59.104) = 0.905,p= .151. All participants significantly increased daily steps over the course of the intervention, with MIM+ participants maintaining increases at follow-up. No significant findings were found for BMI.

scholarly journals Patients’ Utilization and Perception of an Artificial Intelligence–Based Symptom Assessment and Advice Technology in a British Primary Care Waiting Room: Exploratory Pilot Study

10.2196/19713 ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. e19713 ◽  
Author(s):  
Stephen Miller ◽  
Stephen Gilbert ◽  
Vishaal Virani ◽  
Paul Wicks
Keyword(s):  
Artificial Intelligence ◽  
Primary Care ◽  
Pilot Study ◽  
Health System ◽  
Care Setting ◽  
Primary Care Setting ◽  
Symptom Assessment ◽  
Medical Attention ◽  
Self Assessment ◽  
Care Clinic

Background When someone needs to know whether and when to seek medical attention, there are a range of options to consider. Each will have consequences for the individual (primarily considering trust, convenience, usefulness, and opportunity costs) and for the wider health system (affecting clinical throughput, cost, and system efficiency). Digital symptom assessment technologies that leverage artificial intelligence may help patients navigate to the right type of care with the correct degree of urgency. However, a recent review highlighted a gap in the literature on the real-world usability of these technologies. Objective We sought to explore the usability, acceptability, and utility of one such symptom assessment technology, Ada, in a primary care setting. Methods Patients with a new complaint attending a primary care clinic in South London were invited to use a custom version of the Ada symptom assessment mobile app. This exploratory pilot study was conducted between November 2017 and January 2018 in a practice with 20,000 registered patients. Participants were asked to complete an Ada self-assessment about their presenting complaint on a study smartphone, with assistance provided if required. Perceptions on the app and its utility were collected through a self-completed study questionnaire following completion of the Ada self-assessment. Results Over a 3-month period, 523 patients participated. Most were female (n=325, 62.1%), mean age 39.79 years (SD 17.7 years), with a larger proportion (413/506, 81.6%) of working-age individuals (aged 15-64) than the general population (66.0%). Participants rated Ada’s ease of use highly, with most (511/522, 97.8%) reporting it was very or quite easy. Most would use Ada again (443/503, 88.1%) and agreed they would recommend it to a friend or relative (444/520, 85.3%). We identified a number of age-related trends among respondents, with a directional trend for more young respondents to report Ada had provided helpful advice (50/54, 93%, 18-24-year olds reported helpful) than older respondents (19/32, 59%, adults aged 70+ reported helpful). We found no sex differences on any of the usability questions fielded. While most respondents reported that using the symptom checker would not have made a difference in their care-seeking behavior (425/494, 86.0%), a sizable minority (63/494, 12.8%) reported they would have used lower-intensity care such as self-care, pharmacy, or delaying their appointment. The proportion was higher for patients aged 18-24 (11/50, 22%) than aged 70+ (0/28, 0%). Conclusions In this exploratory pilot study, the digital symptom checker was rated as highly usable and acceptable by patients in a primary care setting. Further research is needed to confirm whether the app might appropriately direct patients to timely care, and understand how this might save resources for the health system. More work is also needed to ensure the benefits accrue equally to older age groups.

Translating the REACH OUT dementia caregiver intervention into a primary care setting: a pilot study

2020 ◽  
pp. 1-10
Author(s):  
Asia Sikora Kessler ◽  
Gabrielle Mock ◽  
Diane Hendricks ◽  
Laura Robbins ◽  
Harpriya Kaur ◽  
...  
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Care Setting ◽  
Primary Care Setting ◽  
Dementia Caregiver

scholarly journals Patients’ Utilization and Perception of an Artificial Intelligence–Based Symptom Assessment and Advice Technology in a British Primary Care Waiting Room: Exploratory Pilot Study (Preprint)

2020 ◽  
Author(s):  
Stephen Miller ◽  
Stephen Gilbert ◽  
Vishaal Virani ◽  
Paul Wicks
Keyword(s):  
Artificial Intelligence ◽  
Primary Care ◽  
Pilot Study ◽  
Health System ◽  
Care Setting ◽  
Primary Care Setting ◽  
Symptom Assessment ◽  
Medical Attention ◽  
Self Assessment ◽  
Care Clinic

BACKGROUND When someone needs to know whether and when to seek medical attention, there are a range of options to consider. Each will have consequences for the individual (primarily considering trust, convenience, usefulness, and opportunity costs) and for the wider health system (affecting clinical throughput, cost, and system efficiency). Digital symptom assessment technologies that leverage artificial intelligence may help patients navigate to the right type of care with the correct degree of urgency. However, a recent review highlighted a gap in the literature on the real-world usability of these technologies. OBJECTIVE We sought to explore the usability, acceptability, and utility of one such symptom assessment technology, Ada, in a primary care setting. METHODS Patients with a new complaint attending a primary care clinic in South London were invited to use a custom version of the Ada symptom assessment mobile app. This exploratory pilot study was conducted between November 2017 and January 2018 in a practice with 20,000 registered patients. Participants were asked to complete an Ada self-assessment about their presenting complaint on a study smartphone, with assistance provided if required. Perceptions on the app and its utility were collected through a self-completed study questionnaire following completion of the Ada self-assessment. RESULTS Over a 3-month period, 523 patients participated. Most were female (n=325, 62.1%), mean age 39.79 years (SD 17.7 years), with a larger proportion (413/506, 81.6%) of working-age individuals (aged 15-64) than the general population (66.0%). Participants rated Ada’s ease of use highly, with most (511/522, 97.8%) reporting it was very or quite easy. Most would use Ada again (443/503, 88.1%) and agreed they would recommend it to a friend or relative (444/520, 85.3%). We identified a number of age-related trends among respondents, with a directional trend for more young respondents to report Ada had provided helpful advice (50/54, 93%, 18-24-year olds reported helpful) than older respondents (19/32, 59%, adults aged 70+ reported helpful). We found no sex differences on any of the usability questions fielded. While most respondents reported that using the symptom checker would not have made a difference in their care-seeking behavior (425/494, 86.0%), a sizable minority (63/494, 12.8%) reported they would have used lower-intensity care such as self-care, pharmacy, or delaying their appointment. The proportion was higher for patients aged 18-24 (11/50, 22%) than aged 70+ (0/28, 0%). CONCLUSIONS In this exploratory pilot study, the digital symptom checker was rated as highly usable and acceptable by patients in a primary care setting. Further research is needed to confirm whether the app might appropriately direct patients to timely care, and understand how this might save resources for the health system. More work is also needed to ensure the benefits accrue equally to older age groups.

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