Sarah Gonzales

Ms. Sarah Gonzales


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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20 September 2023 in JMIR Research Protocols
Verified
Journal Article
Open access
DMDavid Y Ming
David Y Ming
WWWillis Wong
Willis Wong
KJKelley A Jones
Kelley A Jones
RARichard C Antonelli
Richard C Antonelli
NGNitin Gujral
Nitin Gujral
HKHeather A King
Heather A King
Background: Electronic health record (EHR)–integrated digital personal health records (PHRs) via Fast Healthcare Interoperability Resources (FHIR) are promising digital health tools to support care coordination (CC) for children and youth with special health care needs but remain widely unadopted; as their adoption grows, mixed methods and implementation research could guide real-world implementation and evaluation. Objective: This study (1) evaluates the feasibility of an FHIR-enabled digital PHR app for CC for children and youth with special health care needs, (2) characterizes determinants of implementation, and (3) explores associations between adoption and patient- or family-reported outcomes. Methods: This nonrandomized, single-arm, prospective feasibility trial will test an FHIR-enabled digital PHR app’s use among families of children and youth with special health care needs in primary care settings. Key app features are FHIR-enabled access to structured data from the child’s medical record, families’ abilities to longitudinally track patient- or family-centered care goals, and sharing progress toward care goals with the child’s primary care provider via a clinician dashboard. We shall enroll 40 parents or caregivers of children and youth with special health care needs to use the app for 6 months. Inclusion criteria for children and youth with special health care needs are age 0-16 years; primary care at a participating site; complex needs benefiting from CC; high hospitalization risk in the next 6 months; English speaking; having requisite technology at home (internet access, Apple iOS mobile device); and an active web-based EHR patient portal account to which a parent or caregiver has full proxy access. Digital prescriptions will be used to disseminate study recruitment materials directly to eligible participants via their existing EHR patient portal accounts. We will apply an intervention mixed methods design to link quantitative and qualitative (semistructured interviews and family engagement panels with parents of children and youth with special health care needs) data and characterize implementation determinants. Two CC frameworks (Pediatric Care Coordination Framework; Patient-Centered Medical Home) and 2 evaluation frameworks (Consolidated Framework for Implementation Research; Technology Acceptance Model) provide theoretical foundations for this study. Results: Participant recruitment began in fall 2022, before which we identified >300 potentially eligible patients in EHR data. A family engagement panel in fall 2021 generated formative feedback from family partners. Integrated analysis of pretrial quantitative and qualitative data informed family-centered enhancements to study procedures. Conclusions: Our findings will inform how to integrate an FHIR-enabled digital PHR app for children and youth with special health care needs into clinical care. Mixed methods and implementation research will help strengthen implementation in diverse clinical settings. The study is positioned to advance knowledge of how to use digital health innovations for improving care and outcomes for children and youth with special health care needs and their families. Trial Registration: ClinicalTrials.gov NCT05513235; https://clinicaltrials.gov/study/NCT05513235 International Registered Report Identifier (IRRID): DERR1-10.2196/46847

22 December 2022 in JMIR Formative Research
Verified
Journal Article
Open access
SGSarah Gonzales
Sarah Gonzales
OOOlaoluwa Okusaga
Olaoluwa Okusaga
JRJ Corey Reuteman-Fowler
J Corey Reuteman-Fowler
MOMegan M Oakes
Megan M Oakes
JBJamie N Brown
Jamie N Brown
HBHayden B Bosworth
Hayden B Bosworth
Background: Suboptimal medication adherence is a significant problem for patients with serious mental illness. Measuring medication adherence through subjective and objective measures can be challenging, time-consuming, and inaccurate. Objective: The primary purpose of this feasibility and acceptability study was to evaluate the impact of a digital medicine system (DMS) among Veterans (patients) with serious mental illness as compared with treatment as usual (TAU) on medication adherence. Methods: This open-label, 2-site, provider-randomized trial assessed aripiprazole refill adherence in Veterans with schizophrenia, schizoaffective disorder, bipolar disorder, or major depressive disorder. We randomized 26 providers such that their patients either received TAU or DMS for a period of 90 days. Semistructured interviews with patients and providers were used to examine the feasibility and acceptability of using the DMS. Results: We enrolled 46 patients across 2 Veterans Health Administration sites: 21 (46%) in DMS and 25 (54%) in TAU. There was no difference in the proportion of days covered by medication refill over 3 and 6 months (0.82, SD 0.24 and 0.75, SD 0.26 in DMS vs 0.86, SD 0.19 and 0.82, SD 0.21 in TAU, respectively). The DMS arm had 0.85 (SD 0.20) proportion of days covered during the period they were engaged with the DMS (mean 144, SD 100 days). Interviews with patients (n=14) and providers (n=5) elicited themes salient to using the DMS. Patient findings described the positive impact of the DMS on medication adherence, challenges with the DMS patch connectivity and skin irritation, and challenges with the DMS app that affected overall use. Providers described an overall interest in using a DMS as an objective measure to support medication adherence in their patients. However, providers described challenges with the DMS dashboard and integrating DMS data into their workflow, which decreased the usability of the DMS for providers. Conclusions: There was no observed difference in refill rates. Among those who engaged in the DMS arm, the proportion of days covered by refills were relatively high (mean 0.85, SD 0.20). The qualitative analyses highlighted areas for further refinement of the DMS. Trial Registration: ClinicalTrials.gov NCT03881449; https://clinicaltrials.gov/ct2/show/NCT03881449

1 June 2020 in Patient Preference and Adherence
Verified
Journal Article
Open access
PDF file
CMCharles Muriuri
Charles Muriuri
ISIsabelle P Sico
Isabelle P Sico
JSJulie Schexnayder
Julie Schexnayder
AWAllison R Webel
Allison R Webel
NONwora Lance Okeke
Nwora Lance Okeke
HBHayden B Bosworth
Hayden B Bosworth
Background: After achieving viral suppression, it is critical for persons living with HIV (PLWH) to focus on prevention of non-AIDS comorbidities such as cardiovascular disease (CVD) in order to enhance their quality of life and longevity of life. Despite PLWH elevated risk of developing CVD compared to individuals without HIV, PLWH do not often meet evidence-based treatment goals for CVD prevention; the reasons for PLWH not meeting guideline recommendations are poorly understood. The objective of this study was to identify the factors associated with adherence to CVD medications for PLWH who have achieved viral suppression. Methods: Qualitative data were obtained from formative research conducted to inform the adaptation of a nurse-led intervention trial to improve cardiovascular health at three large academic medical centers in the United States. Transcripts were analyzed using content analysis guided by principles drawn from grounded theory. Results: Fifty-one individuals who had achieved viral suppression (< 200 copies/mL) participated: 37 in 6 focus groups and 14 in individual semi-structured interviews. Mean age was 57 years (SD: 7.8); most were African Americans (n=31) and majority were male (n=34). Three main themes were observed. First, participants reported discordance between their healthcare providers’ recommendations and their own preferred strategies to reduce CVD risk. Second, participants intentionally modified frequency of CVD medication taking which appeared to be related to low CVD risk perception and perceived or experienced side effects with treatment. Finally, participants discussed the impact of long-term experience with HIV care on adherence to CVD medication and motivational factors that enhanced adherence to heart healthy behaviors. Conclusion: Findings suggest that future research should focus on developing interventions to enhance patient–provider communication in order to elicit beliefs, concerns and preferences for CVD prevention strategies. Future research should seek to leverage and adapt established evidence-based practices in HIV care to support CVD medication adherence.

Verified
Journal Article
Open access
PDF file
Nina SperberNina Sperber
Nina Sperber
DCDeborah Cragun
Deborah Cragun
MRMegan Roberts
Megan Roberts
LBLisa M. Verification Bendz
Lisa M. Verification Bendz
PIParker Ince
Parker Ince
RURyley Uber
Ryley Uber
Using a patient’s genetic information to inform medication prescriptions can be clinically effective; however, the practice has not been widely implemented. Health systems need guidance on how to engage with providers to improve pharmacogenetic test utilization. Approaches from the field of implementation science may shed light on the complex factors affecting pharmacogenetic test use in real-world settings and areas to target to improve utilization. This paper presents an approach to studying the application of precision medicine that utilizes mixed qualitative and quantitative methods and implementation science frameworks to understand which factors or combinations consistently account for high versus low utilization of pharmocogenetic testing. This approach involves two phases: (1) collection of qualitative and quantitative data from providers—the cases—at four clinical institutions about their experiences with, and utilization of, pharmacogenetic testing to identify salient factors; and (2) analysis using a Configurational Comparative Method (CCM), using a mathematical algorithm to identify the minimally necessary and sufficient factors that distinguish providers who have higher utilization from those with low utilization. Advantages of this approach are that it can be used for small to moderate sample sizes, and it accounts for conditions found in real-world settings by demonstrating how they coincide to affect utilization.

29 July 2025 in Journal of the Association of Nurses in AIDS Care
Verified
Journal Article
Closed access
CMCharles Muriuri
Charles Muriuri
CDCarrie Dombeck
Carrie Dombeck
ACAmy Corneli
Amy Corneli
APApril C. Pettit
April C. Pettit
NONwora Lance Okeke
Nwora Lance Okeke
GBGerald S. Bloomfield
Gerald S. Bloomfield
People with HIV from historically underrepresented racial and ethnic minority (URM) groups are at increased risk of cardiovascular disease (CVD). Guided by the health belief model, we conducted in-depth interviews with URM with HIV, established CVD, and CVD risk factors at three academic medical centers in the Southern United States between November 2019 and March 2020. We analyzed the data using applied thematic analysis. A total of 27 participants were interviewed, and most were African American. Participants described their HIV status as a contributing factor to perceived severity of CVD. Barriers, such as a lack of access to specialists and affordability found in our study, highlight both individual challenges and systemic issues affecting this population. To ensure equitable CVD care, interventions should address both individual beliefs and systemic barriers. Integrating these findings into new or existing intervention strategies has the potential to enhance preventive efforts and improve cardiovascular health outcomes in this population.

10 February 2026 in Pain Management Nursing
Verified
Journal Article
Closed access
LBLindsay A. Ballengee
Lindsay A. Ballengee
OOOyomoare L Osazuwa-Peters
Oyomoare L Osazuwa-Peters
SGSarah Gonzales
Sarah Gonzales
DADeborah H. Allen
Deborah H. Allen
COChristiana Oshotse
Christiana Oshotse
DCDevon Check
Devon Check