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Dunlop KLA, Singh N, Smit AK, Morrow AL, Steinberg J, Cust AE, Makeham M, Bonner C, Terrill B, Monrouxe LV, Wilkinson D, Sawleshwarkar S, Ma AS. Building capacity for genomics in primary care: a scoping review of practitioner attitudes, education needs, and enablers. Front Med (Lausanne) 2025; 12:1577958. [PMID: 40370713 PMCID: PMC12076481 DOI: 10.3389/fmed.2025.1577958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2025] [Accepted: 04/14/2025] [Indexed: 05/16/2025] Open
Abstract
Introduction Improving clinical capacity for genomics in primary care promises to lead to better health, but genomics uptake in the sector is slow and patchy. This review aimed to identify the attitudes of primary care practitioners (PCPs) and the education needs and enablers in applying genomics to inform priorities in education and implementation. Methods Searches were conducted across Medline, Scopus, CINAHL, Embase, and Cochrane CENTRAL until November 2023. Barriers and enablers were mapped to the Theoretical Domains Framework and the Genomic Medicine Integrative Research Framework. Results A total of 52 studies were included, and the most frequently mapped domains from the Theoretical Domains Framework were 'Knowledge' (65.4% of papers), 'Environmental context and resources' (40.4%), 'Skills' (38.5%), and 'Social/professional role and identity' (32.7%). Four key implications were identified: knowledge as a major barrier and enabler, education to build capacity, uncertainty about the role of PCPs, and additional needs beyond education alone. Discussion While PCPs are optimistic about genomics, long-standing barriers to delivery in primary care remain. Multifaceted, evidence-based education strategies, including interactive components to change behaviour, will help to address barriers. Clarifying the role of PCPs, referral pathways, and collaboration with tertiary genetics services will further build capacity for genomics delivery in primary care.
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Affiliation(s)
- Kate L. A. Dunlop
- The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Nehal Singh
- The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Amelia K. Smit
- The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - April L. Morrow
- The Centre for Genetics Education, Health Education and Training Institute (HETI) NSW Health, Sydney, NSW, Australia
| | - Julia Steinberg
- The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Anne E. Cust
- The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Meredith Makeham
- Community and Primary Health Care, Faculty of Medicine, The University of Sydney, Sydney, NSW, Australia
| | - Carissa Bonner
- Leeder Centre for Health Policy, Economics and Data, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Bronwyn Terrill
- Australian Genomics, Melbourne, VIC, Australia
- School of Clinical Medicine, Faculty of Health and Medicine, UNSW, Sydney, NSW, Australia
| | - Lynn V. Monrouxe
- School of Health Sciences, The Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - David Wilkinson
- The Royal Australian College of General Practitioners Ltd (RACGP), East Melbourne, VIC, Australia
| | | | - Alan S. Ma
- Specialty of Genomic Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Clinical Genetics, Sydney Children’s Hospital Network, Sydney, NSW, Australia
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Phadke A, Weng Y, Johnson CB, Winget M, Mahoney M, Sharp C, Sattler A, Shah S, Desai M, Ng S, Shaw JG. Integrating a High Blood Pressure Advisory Across a Primary Care Network. JAMA Netw Open 2025; 8:e257313. [PMID: 40279123 PMCID: PMC12032570 DOI: 10.1001/jamanetworkopen.2025.7313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Accepted: 02/25/2025] [Indexed: 04/26/2025] Open
Abstract
Importance Leveraging technology to prompt team-based care might improve ambulatory hypertension care. Objective To assess whether an electronic medical record (EMR) high blood pressure (BP) advisory improves hypertension control. Design, Setting, and Participants This quality improvement study assessed hypertension control in patients presenting to primary care office visits from March 2018 to February 2020. Data were included from 28 primary care clinics (8 clinics contributed data toward the primary objective and 28 contributed data toward secondary objectives) in a single academic health system in California before and after intervention and concurrent care team observations and interviews assessing implementation. Data were analyzed from November 2019 to October 2020. Intervention An EMR high BP advisory combined with team training, audit, and feedback. EMR entry of elevated BP (systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg) prompted an interruptive medical assistant-facing advisory to recheck BP. Persistently elevated BP prompted a second interruptive clinician-facing advisory with order panel link. Main Outcomes and Measures The primary outcome was BP lower than 140 mm Hg systolic and lower than 90 mm Hg diastolic during an office visit within 6 months of an initial primary care visit. Secondary outcomes included BP recheck after initial elevated value, antihypertensive medication change, and new hypertension diagnoses. Qualitative outcomes focused on implementation barriers and facilitators. Results The primary outcome assessed 2760 control patients and 3018 intervention patients with preexisting hypertension (mean [SD] age, 66.5 [14.4] years; 2847 [49.2%] women, 1746 [30.2%] Asian, 619 [10.7%] Hispanic, and 2407 [41.7%] White). The likelihood of hypertension control increased 18.3% per month on average (odds ratio [OR], 1.18; 95% CI, 1.10-1.27; P < .001) in the intervention vs control groups. Modeled rates of adjusted hypertension control over 6 months increased from 82.3% to 92.3% for the intervention cohort and decreased from 71.5% to 70.3% for the control (preintervention) cohort. BP recheck rate increased (from 37.6% to 77.9%; OR, 4.76; 95% CI, 4.45-5.10; P < .001), while ordered antihypertensive medications was unchanged. New hypertension diagnosis increased from 12.1% to 20.6% (OR, 1.34; 95% CI, 1.13-1.58; P = .01). In interviews of 34 care team members (clinicians, medical assistants, and managers) from 6 clinics, implementation barriers included competing priorities and time for BP rechecks, order panel complexity, and mixed clinician engagement; facilitators included intervention visibility, EMR integration, and team-based approach. Conclusions and Relevance This quality improvement study of an EMR high BP advisory intervention found significantly improved primary care hypertension control and diagnosis due to the combination of team-based care and technology.
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Affiliation(s)
- Anuradha Phadke
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Yingjie Weng
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Cati Brown Johnson
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Marcy Winget
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Megan Mahoney
- Department of Family and Community Medicine, University of California San Francisco, San Francisco
| | - Christopher Sharp
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Amelia Sattler
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Shreya Shah
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Manisha Desai
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Stanley Ng
- University Medical Partners, Livermore, California
| | - Jonathan G. Shaw
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
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Mai CW, Sridhar SB, Karattuthodi MS, Ganesan PM, Shareef J, Lee EL, Armani K. Scoping review of enablers and challenges of implementing pharmacogenomics testing in the primary care settings. BMJ Open 2024; 14:e087064. [PMID: 39500605 PMCID: PMC11552560 DOI: 10.1136/bmjopen-2024-087064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 09/24/2024] [Indexed: 11/13/2024] Open
Abstract
INTRODUCTION Pharmacogenomic testing (PGx) plays a crucial role in improving patient medication safety, yet ethical concerns and limitations impede its clinical implementation in the primary care settings. AIMS To systematically review the current state of PGx in the primary care settings and determine the enablers and challenges of its implementation. DESIGN A scoping review was carried out by adhering to Arksey and O'Malley's 6-stage methodological framework and the 2020 Joanna Briggs Institute and Levac et al. DATA SOURCES: Cochrane Library, EMBASE, Global Health, MEDLINE and PubMed were searched up to 17 July 2023. ELIGIBILITY CRITERIA All peer-reviewed studies in English, reporting the enablers and the challenges of implementing PGx in the primary care settings were included. DATE EXTRACTION AND SYNTHESIS Two independent reviewers extracted the data. Information was synthesised based on the reported enablers and the challenges of implementing PGx testing in the primary care settings. Information was then presented to stakeholders for their inputs. RESULTS 78 studies discussing the implementation of PGx testing are included, of which 57% were published between 2019 and 2023. 68% of the studies discussed PGx testing in the primary care setting as a disease-specific themes. Healthcare professionals were the major stakeholders, with primary care physicians (55%) being the most represented. Enablers encompassed various advantages such as diagnostic and therapeutic benefits, cost reduction and the empowerment of healthcare professionals. Challenges included the absence of sufficient scientific evidence, insufficient training for healthcare professionals, ethical and legal aspects of PGx data, low patient awareness and acceptance and the high costs linked to PGx testing. CONCLUSION PGx testing integration in primary care requires increased consumer awareness, comprehensive healthcare provider training on legal and ethical aspects and global feasibility studies to better understand its implementation challenges. Managing high costs entails streamlining processes, advocating for reimbursement policies and investing in research on innovation and affordability research to improve life expectancy.
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Affiliation(s)
- Chun-Wai Mai
- Faculty of Pharmaceutical Sciences, UCSI University, Kuala Lumpur, Cheras, Malaysia
| | | | - Mohammed Salim Karattuthodi
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Udupi, Karnataka, India
| | | | - Javedh Shareef
- RAK Medical & Health Sciences University, Ras Al Khaimah, UAE
| | - E Lyn Lee
- IMU University, Kuala Lumpur, Malaysia
| | - Keivan Armani
- Department of Primary Care and Public Health, School of Public Health, Imperial College London Faculty of Medicine, London, UK
- UCSI University Faculty of Pharmaceutical Sciences, Cheras, Kuala Lumpur, Malaysia
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Brown-Johnson CG, Lessios AS, Thomas S, Kim M, Fukaya E, Wu S, Kling SMR, Brown G, Winget M. A Nurse-Led Care Delivery App and Telehealth System for Patients Requiring Wound Care: Mixed Methods Implementation and Evaluation Study. JMIR Form Res 2023; 7:e43258. [PMID: 37610798 PMCID: PMC10483299 DOI: 10.2196/43258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 05/04/2023] [Accepted: 05/29/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Innovative solutions to nursing care are needed to address nurse, health system, patient, and caregiver concerns related to nursing wellness, work flexibility and control, workforce retention and pipeline, and access to patient care. One innovative approach includes a novel health care delivery model enabling nurse-led, off-hours wound care (PocketRN) to triage emergent concerns and provide additional patient health education via telehealth. OBJECTIVE This pilot study aimed to evaluate the implementation of PocketRN from the perspective of nurses and patients. METHODS Patients and part-time or per-diem, wound care-certified and generalist nurses were recruited through the Stanford Medicine Advanced Wound Care Center in 2021 and 2022. Qualitative data included semistructured interviews with nurses and patients and clinical documentation review. Quantitative data included app use and brief end-of-interaction in-app satisfaction surveys. RESULTS This pilot study suggests that an app-based nursing care delivery model is acceptable, clinically appropriate, and feasible. Low technology literacy had a modest effect on initial patient adoption; this barrier was addressed with built-in outreach and by simplifying the patient experience (eg, via phone instead of video calls). This approach was acceptable for users, despite total patient enrollment and use numbers being lower than anticipated (N=49; 17/49, 35% of patients used the app at least once beyond the orientation call). We interviewed 10 patients: 7 who had used the app were satisfied with it and reported that real-time advice after hours reduced anxiety, and 3 who had not used the app after enrollment reported having other resources for health care advice and noted their perception that this tool was meant for urgent issues, which did not occur for them. Interviewed nurses (n=10) appreciated working from home, and they reported comfort with the scope of practice and added quality of care facilitated by video capabilities; there was interest in additional wound care-specific training for nonspecialized nurses. Nurses were able to provide direct patient care over the web, including the few participating nurses who were unable to perform in-person care (n=2). CONCLUSIONS This evaluation provides insights into the integration of technology into standard health care services, such as in-clinic wound care. Using in-system nurses with access to electronic medical records and specialized knowledge facilitated app integration and continuity of care. This care delivery model satisfied nurse desires for flexible and remote work and reduced patient anxiety, potentially reducing postoperative wound care complications. Feasibility was negatively impacted by patients' technology literacy and few language options; additional patient training, education, and language support are needed to support equitable access. Adoption was impacted by a lack of perceived need for additional care; lower-touch or higher-acuity settings with a longer wait between visits could be a better fit for this type of nurse-led care.
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Affiliation(s)
- Cati G Brown-Johnson
- Evaluation Sciences Unit, Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Anna Sophia Lessios
- Evaluation Sciences Unit, Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
| | | | | | - Eri Fukaya
- Division of Vascular Surgery, Vascular Medicine Section, Stanford University School of Medicine, Stanford, CA, United States
| | - Siqi Wu
- Evaluation Sciences Unit, Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Samantha M R Kling
- Evaluation Sciences Unit, Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
| | - Gretchen Brown
- Office of the Chief Nursing Informatics Officer, Nursing Innovation & Informatics, Stanford Medicine, Stanford, CA, United States
| | - Marcy Winget
- Evaluation Sciences Unit, Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, United States
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Gasteiger N, Vercell A, Khan N, Dowding D, Davies AC, Davies A. Digital interventions for genomics and genetics education, empowerment, and service engagement: A systematic review. J Community Genet 2023:10.1007/s12687-023-00648-w. [PMID: 37198378 DOI: 10.1007/s12687-023-00648-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/24/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND Patient-facing digital technologies may reduce barriers to and alleviate the burden on genetics services. However, no work has synthesised the evidence for patient-facing digital interventions for genomics/genetics education and empowerment, or to facilitate service engagement more broadly. It is also unclear which groups have been engaged by digital interventions. AIM This systematic review explores which existing patient-facing digital technologies have been used for genomics/genetics education and empowerment, or to facilitate service engagement, and for whom and for which purposes the interventions have been developed. METHODS The review adhered to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Eight databases were searched for literature. Information was extracted into an Excel sheet and analysed in a narrative manner. Quality assessments were conducted using the Mixed Methods Appraisal Tool. RESULTS Twenty-four studies were included, of which 21 were moderate or high quality. The majority (88%) were conducted in the United States of America or within a clinical setting (79%). More than half (63%) of the interventions were web-based tools, and almost all focussed on educating users (92%). There were promising results regarding educating patients and their families and facilitating engagement with genetics services. Few of the studies focussed on empowering patients or were community-based. CONCLUSION Digital interventions may be used to deliver information about genetics concepts and conditions, and positively impact service engagement. However, there is insufficient evidence related to empowering patients and engaging underserved communities or consanguineous couples. Future work should focus on co-developing content with end users and incorporating interactive features.
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Affiliation(s)
- Norina Gasteiger
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Amy Vercell
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
- The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK
| | - Naz Khan
- Genomic Medicine, St. Mary's Hospital, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK
| | - Dawn Dowding
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Angela C Davies
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK
| | - Alan Davies
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester, UK.
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Rangachari P, Mushiana SS, Herbert K. A scoping review of applications of the Consolidated Framework for Implementation Research (CFIR) to telehealth service implementation initiatives. BMC Health Serv Res 2022; 22:1450. [PMID: 36447279 PMCID: PMC9708146 DOI: 10.1186/s12913-022-08871-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The Consolidated Framework for Implementation Research (CFIR), introduced in 2009, has the potential to provide a comprehensive understanding of the determinants of implementation-effectiveness of health service innovations. Although the CFIR has been increasingly used in recent years to examine factors influencing telehealth implementation, no comprehensive reviews currently exist on the scope of knowledge gained exclusively from applications of the CFIR to telehealth implementation initiatives. This review sought to address this gap. METHODS PRISMA-ScR criteria were used to inform a scoping review of the literature. Five academic databases (PUBMED, PROQUEST, SCIDIRECT, CINAHL, and WoS) were searched for eligible sources of evidence from 01.01.2010 through 12.31.2021. The initial search yielded a total of 18,388 records, of which, 64 peer-reviewed articles met the inclusion criteria for the review. Included articles were reviewed in full to extract data, and data collected were synthesized to address the review questions. RESULTS Most included articles were published during or after 2020 (64%), and a majority (77%) were qualitative or mixed-method studies seeking to understand barriers or facilitators to telehealth implementation using the CFIR. There were few comparative- or implementation-effectiveness studies containing outcome measures (5%). The database search however, revealed a growing number of protocols for implementation-effectiveness studies published since 2020. Most articles (91%) reported the CFIR Inner Setting domain (e.g., leadership engagement) to have a predominant influence over telehealth implementation success. By comparison, few articles (14%) reported the CFIR Outer Setting domain (e.g., telehealth policies) to have notable influence. While more (63%) telehealth initiatives were focused on specialty (vs primary) care, a vast majority (78%) were focused on clinical practice over medical education, healthcare administration, or population health. CONCLUSIONS Organized provider groups have historically paid considerable attention to advocating for telehealth policy (Outer Setting) reform. However, results suggest that for effective telehealth implementation, provider groups need to refocus their efforts on educating individual providers on the complex inter-relationships between Inner Setting constructs and telehealth implementation-effectiveness. On a separate note, the growth in implementation-effectiveness study protocols since 2020, suggests that additional outcome measures may soon be available, to provide a more nuanced understanding of the determinants of effective telehealth implementation based on the CFIR domains and constructs.
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Affiliation(s)
- Pavani Rangachari
- Department of Population Health and Leadership, School of Health Sciences, University of New Haven, 300 Boston Post Road, West Haven, CT 06516 USA
| | - Swapandeep S. Mushiana
- Veterans Affairs (VA) Quality Scholars Program - San Francisco VA Healthcare System, San Francisco, CA 94121 USA
| | - Krista Herbert
- Portland Veterans Affairs (VA) Healthcare System, Portland, OR 97239 USA
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He B, Huang Z, Huang C, Nice EC. Clinical applications of plasma proteomics and peptidomics: Towards precision medicine. Proteomics Clin Appl 2022; 16:e2100097. [PMID: 35490333 DOI: 10.1002/prca.202100097] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/16/2022] [Accepted: 04/28/2022] [Indexed: 02/05/2023]
Abstract
In the context of precision medicine, disease treatment requires individualized strategies based on the underlying molecular characteristics to overcome therapeutic challenges posed by heterogeneity. For this purpose, it is essential to develop new biomarkers to diagnose, stratify, or possibly prevent diseases. Plasma is an available source of biomarkers that greatly reflects the physiological and pathological conditions of the body. An increasing number of studies are focusing on proteins and peptides, including many involving the Human Proteome Project (HPP) of the Human Proteome Organization (HUPO), and proteomics and peptidomics techniques are emerging as critical tools for developing novel precision medicine preventative measures. Excitingly, the emerging plasma proteomics and peptidomics toolbox exhibits a huge potential for studying pathogenesis of diseases (e.g., COVID-19 and cancer), identifying valuable biomarkers and improving clinical management. However, the enormous complexity and wide dynamic range of plasma proteins makes plasma proteome profiling challenging. Herein, we summarize the recent advances in plasma proteomics and peptidomics with a focus on their emerging roles in COVID-19 and cancer research, aiming to emphasize the significance of plasma proteomics and peptidomics in clinical applications and precision medicine.
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Affiliation(s)
- Bo He
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, P. R. China
| | - Zhao Huang
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, P. R. China
| | - Canhua Huang
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University and Collaborative Innovation Center for Biotherapy, Chengdu, P. R. China.,Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, Zhejiang, China
| | - Edouard C Nice
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia
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Roberts MC, Foss KS, Henderson GE, Powell SN, Saylor KW, Weck KE, Milko LV. Public Interest in Population Genetic Screening for Cancer Risk. Front Genet 2022; 13:886640. [PMID: 35938028 PMCID: PMC9354961 DOI: 10.3389/fgene.2022.886640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 06/06/2022] [Indexed: 01/04/2023] Open
Abstract
An emerging role for DNA sequencing is to identify people at risk for an inherited cancer syndrome in order to prevent or ameliorate the manifestation of symptoms. Two cancer syndromes, Hereditary Breast and Ovarian Cancer and Lynch Syndrome meet the "Tier 1" evidence threshold established by the Centers for Disease Control and Prevention (CDC) for routine testing of patients with a personal or family history of cancer. Advancements in genomic medicine have accelerated public health pilot programs for these highly medically actionable conditions. In this brief report, we provide descriptive statistics from a survey of 746 US respondents from a Qualtrics panel about the public's awareness of genetic testing, interest in learning about their cancer risk, and likelihood of participating in a population genetic screening (PGS) test. Approximately of half the respondents were aware of genetic testing for inherited cancer risk (n = 377/745, 50.6%) and would choose to learn about their cancer risk (n-309/635, 48.7%). Characteristics of those interested in learning about their cancer risk differed by educational attainment, age, income, insurance status, having a primary care doctor, being aware of genetic testing, and likelihood of sharing information with family (p < 0.05). A sizeable majority of the respondents who were interested in about learning their cancer risk also said that they were likely to participate in a PGS test that involved a clinical appointment and blood draw, but no out-of-pocket cost (n = 255/309, 82.5%). Reasons for not wanting to participate included not finding test results interesting or important, concerns about costs, and feeling afraid to know the results. Overall, our results suggest that engaging and educating the general population about the benefits of learning about an inherited cancer predisposition may be an important strategy to address recruitment barriers to PGS.
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Affiliation(s)
- Megan C. Roberts
- Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy, Chapel Hill, NC, United States
| | - Kimberly S. Foss
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Gail E. Henderson
- Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Sabrina N. Powell
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Katherine W. Saylor
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Karen E. Weck
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Laura V. Milko
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Baratta J, Brown-Johnson C, Safaeinili N, Goldman Rosas L, Palaniappan L, Winget M, Mahoney M. Patient and Health Professional Perceptions of Telemonitoring for Hypertension Management: Qualitative Study. JMIR Form Res 2022; 6:e32874. [PMID: 35687380 PMCID: PMC9233257 DOI: 10.2196/32874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 03/07/2022] [Accepted: 04/13/2022] [Indexed: 12/04/2022] Open
Abstract
Background Hypertension is the most prevalent and important risk factor for cardiovascular disease, affecting nearly 50% of the US adult population; however, only 30% of these patients achieve controlled blood pressure (BP). Incorporating strategies into primary care that take into consideration individual patient needs, such as remote BP monitoring, may improve hypertension management. Objective From March 2018 to December 2018, Stanford implemented a precision health pilot called Humanwide, which aimed to leverage high-technology and high-touch medicine to tailor individualized care for conditions such as hypertension. We examined multi-stakeholder perceptions of hypertension management in Humanwide to evaluate the program’s acceptability, appropriateness, feasibility, and sustainability. Methods We conducted semistructured interviews with 16 patients and 15 health professionals to assess their experiences with hypertension management in Humanwide. We transcribed and analyzed the interviews using a hybrid approach of inductive and deductive analysis to identify common themes around hypertension management and consensus methods to ensure reliability and validity. Results A total of 63% (10/16) of the patients and 40% (6/15) of the health professionals mentioned hypertension in the context of Humanwide. These participants reported that remote BP monitoring improved motivation, BP control, and overall clinic efficiency. The health professionals discussed feasibility challenges, including the time needed to analyze BP data and provide individualized feedback, integration of BP data, technological difficulties with the BP cuff, and decreased patient use of remote BP monitoring over time. Conclusions Remote BP monitoring for hypertension management in Humanwide was acceptable to patients and health professionals and appropriate for care. Important challenges need to be addressed to improve the feasibility and sustainability of this approach by leveraging team-based care, engaging patients to sustain remote BP monitoring, standardizing electronic medical record integration of BP measurements, and finding more user-friendly BP cuffs.
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Affiliation(s)
- Juliana Baratta
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
| | - Cati Brown-Johnson
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
| | - Nadia Safaeinili
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
| | - Lisa Goldman Rosas
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
| | - Latha Palaniappan
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
| | - Marcy Winget
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
| | - Megan Mahoney
- Division of Primary Care and Population Health, Stanford School of Medicine, Palo Alto, CA, United States
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The Rise of Population Genomic Screening: Characteristics of Current Programs and the Need for Evidence Regarding Optimal Implementation. J Pers Med 2022; 12:jpm12050692. [PMID: 35629115 PMCID: PMC9145687 DOI: 10.3390/jpm12050692] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 12/13/2022] Open
Abstract
Purpose: Advances in clinical genomic sequencing capabilities, including reduced costs and knowledge gains, have bolstered the consideration of genomic screening in healthy adult populations. Yet, little is known about the existing landscape of genomic screening programs in the United States. It can be difficult to find information on current implementation efforts and best practices, particularly in light of critical questions about equity, cost, and benefit. Methods: In 2020, we searched publicly available information on the Internet and the scientific literature to identify programs and collect information, including: setting, program funding, targeted population, test offered, and patient cost. Program representatives were contacted throughout 2020 and 2021 to clarify, update, and supplement the publicly available information. Results: Twelve programs were identified. Information was available on key program features, such as setting, genes tested, and target populations. Data on costs, outcomes, or long-term sustainability plans were not always available. Most programs offered testing at no or significantly reduced cost due to generous pilot funding, although the sustainability of these programs remains unknown. Gene testing lists were diverse, ranging from 11 genes (CDC tier 1 genes) to 59 genes (ACMG secondary findings list v.2) to broad exome and genome sequencing. This diversity presents challenges for harmonized data collection and assessment of program outcomes. Conclusions: Early programs are exploring the logistics and utility of population genomic screening in various settings. Coordinated efforts are needed to take advantage of data collected about uptake, infrastructure, and intervention outcomes to inform future research, evaluation, and program development.
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Implementation of Pharmacogenomics and Artificial Intelligence Tools for Chronic Disease Management in Primary Care Setting. J Pers Med 2021; 11:jpm11060443. [PMID: 34063850 PMCID: PMC8224063 DOI: 10.3390/jpm11060443] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 12/12/2022] Open
Abstract
Chronic disease management often requires use of multiple drug regimens that lead to polypharmacy challenges and suboptimal utilization of healthcare services. While the rising costs and healthcare utilization associated with polypharmacy and drug interactions have been well documented, effective tools to address these challenges remain elusive. Emerging evidence that proactive medication management, combined with pharmacogenomic testing, can lead to improved health outcomes and reduced cost burdens may help to address such gaps. In this report, we describe informatic and bioanalytic methodologies that integrate weak signals in symptoms and chief complaints with pharmacogenomic analysis of ~90 single nucleotide polymorphic variants, CYP2D6 copy number, and clinical pharmacokinetic profiles to monitor drug–gene pairs and drug–drug interactions for medications with significant pharmacogenomic profiles. The utility of the approach was validated in a virtual patient case showing detection of significant drug–gene and drug–drug interactions of clinical significance. This effort is being used to establish proof-of-concept for the creation of a regional database to track clinical outcomes in patients enrolled in a bioanalytically-informed medication management program. Our integrated informatic and bioanalytic platform can provide facile clinical decision support to inform and augment medication management in the primary care setting.
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