Beverly FitzPatrick

Dr. Beverly FitzPatrick


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2019 in Currents in Pharmacy Teaching and Learning
Verified
Journal Article
Closed access
BFBeverly FitzPatrick
Beverly FitzPatrick

10 June 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
meshari alwashmimeshari alwashmi
meshari alwashmi
BFBeverly FitzPatrick
Beverly FitzPatrick
EDErin Davis
Erin Davis
JGJM Gamble
JM Gamble
JFJamie Farrell
Jamie Farrell
JHJohn Hawboldt
John Hawboldt
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Using a Mobile Health (mHealth) intervention, consisting of a smartphone and compatible medical device, has the potential to enhance Chronic Obstructive Pulmonary Disease (COPD) treatment outcomes while mitigating health care costs. The purpose of this study is to understand the perceptions of health care providers (HCPs) regarding the use of mHealth in COPD management. Objective: To explore the potential facilitators and barriers among HCPs regarding the use of mHealth interventions for COPD management. Methods: This is a qualitative study. Semi-structured individual interviews were conducted with 30 HCPs, including nurses, pharmacists, and physicians who work directly with COPD patients. A flexible prompts guide was used to facilitate discussions. Topics included: demographics, mHealth usage, perceptions towards challenges of mHealth adoption, factors facilitating mHealth adoption, and preferences regarding features of the mHealth intervention for COPD management. Interviews were conversational in nature and items were not asked verbatim or in the order presented. The interviews were transcribed verbatim and compared against the digital recordings to ensure the accuracy of the content. After creating a codebook for analysis, two researchers independently coded the remaining interview data using pattern coding. They discussed commonalities and differences in coding until consensus was reached. Results: A total of 30 nurses, physicians, and pharmacists participated. The main facilitators to mHealth adoption are possible health benefits for patients, ease of use, educating patients and their HCPs, credibility, and reducing the cost to the healthcare system. Alternatively, the barriers adoption are technical issues, privacy and confidentiality issues, lack of awareness, potential limited uptake from the elderly, potential limited connection between patients and HCPs, and finances. Conclusions: It is important to understand the perceptions of HCPs regarding adoption of innovative mHealth interventions for COPD management. This study identifies some potential facilitators and barriers that may inform the successful development and implementation of mHealth interventions for COPD management.

23 July 2020 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
meshari alwashmimeshari alwashmi
meshari alwashmi
BFBeverly FitzPatrick
Beverly FitzPatrick
JFJamie Farrell
Jamie Farrell
JGJM Gamble
JM Gamble
EDErin Davis
Erin Davis
JHJohn Hawboldt
John Hawboldt
Background: Using a mobile health (mHealth) intervention consisting of a smartphone and compatible medical device has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes while mitigating health care costs. Objective: This study aims to describe the demographics, use, and access to smartphones of patients with COPD. It also aims to explore and develop an understanding of potential facilitators and barriers that might influence patients using mHealth interventions for COPD management. Methods: This was an explanatory, sequential mixed methods study. Patients who attended respirology clinics completed a questionnaire on technology access and use. We conducted semistructured individual interviews with the patients. Interview topics included the following: demographics, mHealth use, perceptions toward challenges of mHealth adoption, factors facilitating mHealth adoption, and preferences regarding features of mHealth interventions for COPD management. Results: A total of 100 adults completed the survey but 22 participants were excluded because they were not diagnosed with COPD. Of these, 10 patients with COPD participated in the interview. The quantitative component revealed that many patients with COPD owned a mobile phone, but only about one-fourth of the participants (18/77, 23%) owned a smartphone. The likelihood of owning a smartphone was not associated with age, sex, marital status, or geographical location, but patients with high educational status were more likely to own a smartphone. The qualitative component found that patients with COPD, in general, had a positive attitude toward mHealth adoption for COPD management, but several facilitators and barriers were identified. The main facilitators of mHealth adoption are possible health benefits for patients, ease of use, educating patients, and credibility. Alternatively, the barriers to adoption are technical issues, lack of awareness, potential limited uptake from older adults, privacy and confidentiality issues, finances, and lack of interest in mHealth Conclusions: It is important to understand the perceptions of patients with COPD regarding the adoption of innovative mHealth interventions for COPD management. This study identifies some potential facilitators and barriers that may inform the successful development and implementation of mHealth interventions for COPD management.

27 February 2015 in Canadian Journal of Science, Mathematics and Technology Education
Verified
Journal Article
Closed access
BFBeverly FitzPatrick
Beverly FitzPatrick
HSHenry Schulz
Henry Schulz
The curriculum for two science units in each of Grades 6 and 7 was analyzed to determine the cognitive levels of the outcomes and their cognitive alignment with the assessments that corresponded with these outcomes. This was done for British Columbia, Alberta, Ontario, and Atlantic Canada. The outcomes and assessments included a variety of higher and lower thinking skills, with several jurisdictions having distinctly fewer higher than lower order outcomes and assessments. The cognitive alignment between outcomes and assessments ranged from 42 to 71%. Strong alignment between outcomes and classroom assessment increases students’ opportunity to learn and become good thinkers.

1 February 2015 in American Journal of Pharmaceutical Education
Verified
Journal Article
Closed access
BFBeverly FitzPatrick
Beverly FitzPatrick
JHJohn Hawboldt
John Hawboldt
DDDaniel Doyle
Daniel Doyle
TGTerri Genge
Terri Genge
To determine whether national educational outcomes, course objectives, and classroom assessments for 2 therapeutics courses were aligned for curricular content and cognitive processes, and if they included higher-order thinking. Document analysis and student focus groups were used. Outcomes, objectives, and assessment tasks were matched for specific therapeutics content and cognitive processes. Anderson and Krathwohl's Taxonomy was used to define higher-order thinking. Students discussed whether assessments tested objectives and described their thinking when responding to assessments. There were 7 outcomes, 31 objectives, and 412 assessment tasks. The alignment for content and cognitive processes was not satisfactory. Twelve students participated in the focus groups. Students thought more short-answer questions than multiple choice questions matched the objectives for content and required higher-order thinking. The alignment analysis provided data that could be used to reveal and strengthen the enacted curriculum and improve student learning.

1 January 2017 in Global Pediatric Health
Verified
Journal Article
Open access
BFBeverly FitzPatrick
Beverly FitzPatrick
JHJohn Hawboldt
John Hawboldt
MSMary Jane Smith
Mary Jane Smith
TLTiffany Lee
Tiffany Lee
Low adherence to cystic fibrosis (CF) treatment is associated with poor health outcomes, while knowledge of the disease and medication regimen can positively influence adherence. This study’s purpose was to develop and validate a questionnaire to help determine CF medication knowledge of pediatric patients and caregivers. Our questionnaire had 37 items: 22 selected-response and 15 open-response questions. We used validation processes from the Standards for Educational and Psychological Testing. CF experts analyzed validity evidence based on content. Then, the questionnaire was field tested with 17 pediatric patients and 18 caregivers. The correlation between age and medication knowledge was medium (r = .33), but was not significant (P = .189). Cronbach’s α for the overall test was .84. Participants thought the questionnaire was important and suitable, with a few minor suggestions to improve wording. Strong validity evidence indicates the questionnaire could be used to assess medication knowledge and allow more personalized education to improve adherence.