1
|
Abstract
Since the publication of the first genome-wide association study for cancer in 2007, thousands of common alleles that are associated with the risk of cancer have been identified. The relative risk associated with individual variants is small and of limited clinical significance. However, the combined effect of multiple risk variants as captured by polygenic scores (PGSs) may be much greater and therefore provide risk discrimination that is clinically useful. We review the considerable research efforts over the past 15 years for developing statistical methods for PGSs and their application in large-scale genome-wide association studies to develop PGSs for various cancers. We review the predictive performance of these PGSs and the multiple challenges currently limiting the clinical application of PGSs. Despite this, PGSs are beginning to be incorporated into clinical multifactorial risk prediction models to stratify risk in both clinical trials and clinical implementation studies.
Collapse
Affiliation(s)
- Xin Yang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Early Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| |
Collapse
|
2
|
Shamseddine A, Chehade L, Al Mahmasani L, Charafeddine M. Colorectal Cancer Screening in the Middle East: What, Why, Who, When, and How? Am Soc Clin Oncol Educ Book 2023; 43:e390520. [PMID: 37163709 DOI: 10.1200/edbk_390520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The incidence of colorectal cancer (CRC) in the Middle East is increasing, especially among those younger than 50 years. Risk factors including obesity, sedentary lifestyle, and dietary changes are associated with the epidemiologic shift and are a result of socioeconomic changes happening in the region. Worldwide, CRC screening is associated with decreased incidence and mortality of CRC, but screening uptake is still low in the Middle East because of cultural barriers and lack of awareness; in addition, most countries do not have national screening programs. Knowledge of CRC screening and participation rates vary among different countries, but overall they are low. Both primary and secondary prevention approaches are needed in the Middle East, and cost-effectiveness is important in choosing screening modalities. Although colonoscopy is considered the most robust screening method, stool-based testing may be an acceptable screening strategy in resource-limited settings, and focusing on high-risk individuals such as those with hereditary CRC might be the most cost-effective strategy. In addition to financial limitations in many countries in the Middle East, human displacement places an extra toll on cancer control strategies in the region.
Collapse
Affiliation(s)
- Ali Shamseddine
- Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Riad El Solh, Beirut, Lebanon
| | - Laudy Chehade
- Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Riad El Solh, Beirut, Lebanon
| | - Layal Al Mahmasani
- Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Riad El Solh, Beirut, Lebanon
| | - Maya Charafeddine
- Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Riad El Solh, Beirut, Lebanon
| |
Collapse
|
3
|
Nichol BAB, Hurlbert AC, Read JCA. Predicting attitudes towards screening for neurodegenerative diseases using OCT and artificial intelligence: Findings from a literature review. J Public Health Res 2022; 11:22799036221127627. [PMID: 36310821 PMCID: PMC9597051 DOI: 10.1177/22799036221127627] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/02/2022] [Indexed: 11/25/2022] Open
Abstract
Recent developments in artificial intelligence (AI) and machine learning raise the possibility of screening and early diagnosis for neurodegenerative diseases, using 3D scans of the retina. The eventual value of such screening will depend not only on scientific metrics such as specificity and sensitivity but, critically, also on public attitudes and uptake. Differential screening rates for various screening programmes in England indicate that multiple factors influence uptake. In this narrative literature review, some of these potential factors are explored in relation to predicting uptake of an early screening tool for neurodegenerative diseases using AI. These include: awareness of the disease, perceived risk, social influence, the use of AI, previous screening experience, socioeconomic status, health literacy, uncontrollable mortality risk, and demographic factors. The review finds the strongest and most consistent predictors to be ethnicity, social influence, the use of AI, and previous screening experience. Furthermore, it is likely that factors also interact to predict the uptake of such a tool. However, further experimental work is needed both to validate these predictions and explore interactions between the significant predictors.
Collapse
Affiliation(s)
- Beth AB Nichol
- Department of Social Work, Education,
and Community Wellbeing, Northumbria University, Newcastle upon Tyne, UK,Beth AB Nichol, Department of Social Work,
Education, and Community Wellbeing, Northumbria University, Coach Lane,
Newcastle upon Tyne NE7 7XA, UK.
| | - Anya C Hurlbert
- Biosciences Institute, Newcastle
University, Newcastle upon Tyne, UK
| | - Jenny CA Read
- Biosciences Institute, Newcastle
University, Newcastle upon Tyne, UK
| |
Collapse
|
4
|
Milton S, Emery JD, Rinaldi J, Kinder J, Bickerstaffe A, Saya S, Jenkins MA, McIntosh J. Exploring a novel method for optimising the implementation of a colorectal cancer risk prediction tool into primary care: a qualitative study. Implement Sci 2022; 17:31. [PMID: 35550164 PMCID: PMC9097304 DOI: 10.1186/s13012-022-01205-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 04/14/2022] [Indexed: 01/22/2023] Open
Abstract
Background We developed a colorectal cancer risk prediction tool (‘CRISP’) to provide individualised risk-based advice for colorectal cancer screening. Using known environmental, behavioural, and familial risk factors, CRISP was designed to facilitate tailored screening advice to patients aged 50 to 74 years in general practice. In parallel to a randomised controlled trial of the CRISP tool, we developed and evaluated an evidence-based implementation strategy. Methods Qualitative methods were used to explore the implementation of CRISP in general practice. Using one general practice in regional Victoria, Australia, as a ‘laboratory’, we tested ways to embed CRISP into routine clinical practice. General practitioners, nurses, and operations manager co-designed the implementation methods with researchers, focussing on existing practice processes that would be sustainable. Researchers interviewed the staff regularly to assess the successfulness of the strategies employed, and implementation methods were adapted throughout the study period in response to feedback from qualitative interviews. The Consolidated Framework for Implementation Research (CFIR) underpinned the development of the interview guide and intervention strategy. Coding was inductive and themes were developed through consensus between the authors. Emerging themes were mapped onto the CFIR domains and a fidelity checklist was developed to ensure CRISP was being used as intended. Results Between December 2016 and September 2019, 1 interviews were conducted, both face-to-face and via videoconferencing (Zoom). All interviews were transcribed verbatim and coded. Themes were mapped onto the following CFIR domains: (1) ‘characteristics of the intervention’: CRISP was valued but time consuming; (2) ‘inner setting’: the practice was open to changing systems; 3. ‘outer setting’: CRISP helped facilitate screening; (4) ‘individual characteristics’: the practice staff were adaptable and able to facilitate adoption of new clinical processes; and (5) ‘processes’: fidelity checking, and education was important. Conclusions These results describe a novel method for exploring implementation strategies for a colorectal cancer risk prediction tool in the context of a parallel RCT testing clinical efficacy. The study identified successful and unsuccessful implementation strategies using an adaptive methodology over time. This method emphasised the importance of co-design input to make an intervention like CRISP sustainable for use in other practices and with other risk tools. Supplementary Information The online version contains supplementary material available at 10.1186/s13012-022-01205-8.
Collapse
Affiliation(s)
- Shakira Milton
- Centre for Cancer Research, University of Melbourne, Melbourne, Australia. .,Department of General Practice, University of Melbourne, Melbourne, Australia.
| | - Jon D Emery
- Centre for Cancer Research, University of Melbourne, Melbourne, Australia.,Department of General Practice, University of Melbourne, Melbourne, Australia.,The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Box 113, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK
| | - Jane Rinaldi
- University of Melbourne Shepparton Medical Centre, Melbourne Teaching Health Clinics Ltd, 49 Graham Street, Shepparton, VIC, 3630, Australia
| | - Joanne Kinder
- University of Melbourne Shepparton Medical Centre, Melbourne Teaching Health Clinics Ltd, 49 Graham Street, Shepparton, VIC, 3630, Australia
| | - Adrian Bickerstaffe
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Sibel Saya
- Centre for Cancer Research, University of Melbourne, Melbourne, Australia.,Department of General Practice, University of Melbourne, Melbourne, Australia
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
| | - Jennifer McIntosh
- Department of General Practice, University of Melbourne, Melbourne, Australia.,HumaniSE Lab, Department of Software Systems and Cybersecurity, Monash University, Clayton, Victoria, Australia
| |
Collapse
|
5
|
Cairns JM, Greenley S, Bamidele O, Weller D. A scoping review of risk-stratified bowel screening: current evidence, future directions. Cancer Causes Control 2022; 33:653-685. [PMID: 35306592 PMCID: PMC8934381 DOI: 10.1007/s10552-022-01568-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 03/02/2022] [Indexed: 12/21/2022]
Abstract
PURPOSE In this scoping review, we examined the international literature on risk-stratified bowel screening to develop recommendations for future research, practice and policy. METHODS Six electronic databases were searched from inception to 18 October 2021: Medline, Embase, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials. Forward and backwards citation searches were also undertaken. All relevant literature were included. RESULTS After de-deduplication, 3,629 records remained. 3,416 were excluded at the title/abstract screening stage. A further 111 were excluded at full-text screening stage. In total, 102 unique studies were included. Results showed that risk-stratified bowel screening programmes can potentially improve diagnostic performance, but there is a lack of information on longer-term outcomes. Risk models do appear to show promise in refining existing risk stratification guidelines but most were not externally validated and less than half achieved good discriminatory power. Risk assessment tools in primary care have the potential for high levels of acceptability and uptake, and therefore, could form an important component of future risk-stratified bowel screening programmes, but sometimes the screening recommendations were not adhered to by the patient or healthcare provider. The review identified important knowledge gaps, most notably in the area of organisation of screening services due to few pilots, and what risk stratification might mean for inequalities. CONCLUSION We recommend that future research focuses on what organisational challenges risk-stratified bowel screening may face and a consideration of inequalities in any changes to organised bowel screening programmes.
Collapse
Affiliation(s)
- J M Cairns
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7HR, UK.
| | - S Greenley
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7HR, UK
| | - O Bamidele
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7HR, UK
| | - D Weller
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
| |
Collapse
|
6
|
Pontone S, Lauriola M, Palma R, Panetta C, Tomai M, Baker R. Do difficulties in emotional processing predict procedure pain and shape the patient's colonoscopy experience? BMJ Open 2022; 12:e050544. [PMID: 35190415 PMCID: PMC8860019 DOI: 10.1136/bmjopen-2021-050544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES Pain and fear of colonoscopy are inter-related; they make the colonoscopy experience unpleasant and impede adherence to colorectal cancer screening and prevention campaigns. According to previous research, fear and pain have been found to depend on patients' maladaptive cognitions and exaggerated emotional responses. The present study investigated whether emotional processing difficulties predicted colonoscopy pain and the associated catastrophising thoughts. DESIGN Prospective, observational, blinded. METHOD A sample of 123 patients was assessed for specific emotional processing difficulties (ie, suppression of emotions, unprocessed emotions, failure to control emotions, avoidance of emotional triggers and impoverished emotional experience) and anxiety-related variables (ie, worry, anxiety and depression) before colonoscopy. A trained medical doctor rated patients' behavioural manifestations of pain during colonoscopy. After complete recovery from sedation, the patients rated the endoscopy experience using perceived pain and situation-specific pain catastrophising scales. RESULTS About half of the patients were above the cut-off for anxiety before the procedure. Notwithstanding sedation, behavioural manifestations of pain during colonoscopy indicated probable or moderate pain for about one-third of the patients. Failure to control emotions, poor emotional experience and avoiding emotional triggers were positively correlated with behavioural manifestations of pain, self-reported pain and pain catastrophising. Regression analyses, controlling for gender, age, colonoscopy experience and sedation, revealed that avoidance of emotional triggers uniquely contributed to predicting pain outcomes. CONCLUSIONS Early identification of emotional processing difficulties associated with pain catastrophising can help define personalised psychological preparation paths to manage negative emotions in patients who fear colonoscopy pain.
Collapse
Affiliation(s)
- Stefano Pontone
- Department of Surgical Sciences, Sapienza University of Rome, Roma, Italy
| | - Marco Lauriola
- Department of Social and Developmental Psychology, Sapienza University of Rome, Roma, Italy
| | - Rossella Palma
- Department of Surgical Sciences, Sapienza University of Rome, Roma, Italy
| | - Cristina Panetta
- Department of Surgical Sciences, Sapienza University of Rome, Roma, Italy
| | - Manuela Tomai
- Dynamic and Clinical Psychology and Health Studies, Sapienza University of Rome, Roma, Italy
| | - Roger Baker
- Clinical Research Unit, Faculty of Health and Social Sciences, Bournemouth University, Poole, UK
| |
Collapse
|
7
|
Demb J, Gupta S. Realizing the Promise of Personalized Colorectal Cancer Screening in Practice. J Natl Cancer Inst 2021; 113:1120-1122. [PMID: 33734403 PMCID: PMC8844589 DOI: 10.1093/jnci/djab044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 01/18/2023] Open
Affiliation(s)
- Joshua Demb
- Department of Veteran Affairs, San Diego Healthcare System, San Diego, CA, USA
- Division of Gastroenterology, Department of Internal Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Samir Gupta
- Department of Veteran Affairs, San Diego Healthcare System, San Diego, CA, USA
- Division of Gastroenterology, Department of Internal Medicine, University of California, San Diego, La Jolla, CA, USA
- University of California, San Diego Moores Cancer Center, La Jolla, CA, USA
| |
Collapse
|
8
|
Imperiale TF, Monahan PO, Stump TE, Ransohoff DF. Derivation and validation of a predictive model for advanced colorectal neoplasia in asymptomatic adults. Gut 2021; 70:1155-1161. [PMID: 32994311 DOI: 10.1136/gutjnl-2020-321698] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/27/2020] [Accepted: 08/30/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Knowing risk for advanced colorectal neoplasia (AN) could help patients and providers choose among screening tests, improving screening efficiency and uptake. We created a risk prediction model for AN to help decide which test might be preferred, a use not considered for existing models. DESIGN Average-risk 50-to-80-year olds undergoing first-time screening colonoscopy were recruited from endoscopy units in Indiana. We measured sociodemographic and physical features, medical and family history and lifestyle factors and linked these to the most advanced finding. We derived a risk equation on two-thirds of the sample and assigned points to each variable to create a risk score. Scores with comparable risks were collapsed into risk categories. The model and score were tested on the remaining sample. RESULTS Among 3025 subjects in the derivation set (mean age 57.3 (6.5) years; 52% women), AN prevalence was 9.4%. The 13-variable model (c-statistic=0.77) produced three risk groups with AN risks of 1.5% (95% CI 0.72% to 2.74%), 7.06% (CI 5.89% to 8.38%) and 27.26% (CI 23.47% to 31.30%) in low-risk, intermediate-risk and high-risk groups (p value <0.001), containing 23%, 59% and 18% of subjects, respectively. In the validation set of 1475 subjects (AN prevalence of 8.4%), model performance was comparable (c-statistic=0.78), with AN risks of 2.73% (CI 1.25% to 5.11%), 5.57% (CI 4.12% to 7.34%) and 25.79% (CI 20.51% to 31.66%) in low-risk, intermediate-risk and high-risk subgroups, respectively (p<0.001), containing proportions of 23%, 59% and 18%. CONCLUSION Among average-risk persons, this model estimates AN risk with high discrimination, identifying a lower risk subgroup that may be screened non-invasively and a higher risk subgroup for which colonoscopy may be preferred. The model could help guide patient-provider discussions of screening options, may increase screening adherence and conserve colonoscopy resources.
Collapse
Affiliation(s)
- Thomas F Imperiale
- Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA .,Center for Innovation, Health Services Research and Development, Richard L Roudebush VA Medical Center, Indianapolis, IN, USA.,The Regenstrief Institute Inc, Indianapolis, IN, USA
| | - Patrick O Monahan
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Timothy E Stump
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - David F Ransohoff
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| |
Collapse
|
9
|
Fang Z, Hang D, Wang K, Joshi A, Wu K, Chan AT, Ogino S, Giovannucci EL, Song M. Risk prediction models for colorectal cancer: Evaluating the discrimination due to added biomarkers. Int J Cancer 2021; 149:1021-1030. [PMID: 33948940 DOI: 10.1002/ijc.33621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 04/07/2021] [Accepted: 04/20/2021] [Indexed: 02/05/2023]
Abstract
Most risk prediction models for colorectal cancer (CRC) are based on questionnaires and show a modest discriminatory ability. Therefore, we aim to develop risk prediction models incorporating plasma biomarkers for CRC to improve discrimination. We assessed the predictivity of 11 biomarkers in 736 men in the Health Professionals Follow-up Study and 639 women in the Nurses' Health Study. We used stepwise logistic regression to examine whether a set of biomarkers improved the predictivity on the basis of predictors in the National Cancer Institute's (NCI) Colorectal Cancer Risk Assessment Tool. Model discrimination was assessed using C-statistics. Bootstrap with 500 randomly sampled replicates was used for internal validation. The models containing each biomarker generated a C-statistic ranging from 0.50 to 0.59 in men and 0.50 to 0.54 in women. The NCI model demonstrated a C-statistic (95% CI) of 0.67 (0.62-0.71) in men and 0.58 (0.54-0.63) in women. Through stepwise selection of biomarkers, the C-statistic increased to 0.70 (0.66-0.74) in men after adding growth/differentiation factor 15, total adiponectin, sex hormone binding globulin and tumor necrosis factor receptor superfamily member 1B (P for difference = 0.008); and increased to 0.62 (0.57-0.66) in women after further including insulin-like growth factor 1 and insulin-like growth factor-binding protein 3 (P for difference = .06). The NCI + selected biomarkers model was internally validated with a C-statistic (95% CI) of 0.73 (0.70-0.77) in men and 0.66 (0.61-0.70) in women. Circulating plasma biomarkers may improve the performance of risk factor-based prediction model for CRC.
Collapse
Affiliation(s)
- Zhe Fang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
10
|
Gagliardi AR, Reich HN, Cattran DC, Barbour SJ. How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy. BMC Med Inform Decis Mak 2020; 20:231. [PMID: 32938443 PMCID: PMC7493917 DOI: 10.1186/s12911-020-01253-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 09/09/2020] [Indexed: 11/24/2022] Open
Abstract
Background IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks and benefits of immunosuppressive therapy for individual patients, and can inform patient-centred communication. No prior research examined barriers of risk predication tools (RPT) specific to IgAN. The purpose of this study was to explore determinants (facilitators, barriers) of RPT use from the patient perspective. Methods We conducted a single focus group with English-speaking adults aged 18 or older with biopsy-proven IgAN. We asked about how they would use an IgAN RPT, and how to improve its design and implementation. We analyzed the transcript using constant comparison to inductively derive themes, and complied with qualitative research reporting criteria. Results The 5 participants were Caucasian men who varied in age from 35 to 55. The glomerular filtration rate ranged from 29 to 71 mL/min/1.73m2, and proteinuria ranged from 0.36 to 1.41 g/d. Participants identified both benefits and harms of the risk score. They said physicians should first ask patients for permission to use it. To make it more useful, participants offered suggestions to enhance RTP design: visual display, information on how to interpret the risk score, risk categories, health implications, modifiable risk factors, multiple scenarios, and comparison with similar patients. They offered additional suggestions to enhance RPT implementation: it should not replace patient-provider discussion, it should be accompanied by self-management education so that patients can take an active role in their health. Participants appreciated information from members of the multidisciplinary team in addition to physicians. Participants also said that physicians should monitor patient emotions or concerns on an ongoing basis. Conclusions Patients with IgAN identified numerous ways to enhance the design and use of an RPT. Others could use this information to design and implement RPTs for patients with other conditions, but should employ user-centred design to develop RPTs that address patient preferences.
Collapse
|