Behavioral AI to Predict and Increase Peritoneal Dialysis Uptake
NCT ID: NCT06533254
Last Updated: 2024-12-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
3000 participants
OBSERVATIONAL
2024-09-01
2025-12-31
Brief Summary
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Scaled Insights' can utilize the data from this study to develop individualized nudges for healthcare professionals that can be broadly deployed within a digital platform so that clinics across the English speaking world can use it as a means of supporting patients with CKD in selecting peritoneal dialysis treatment.
Using Scaled Insights novel Behavioral Artificial Intelligence solution, the proposed project has two aims:
1. to identify personality attributes of patients with Chronic Kidney Disease and correlating their personality attributes with their subsequent choice of dialysis. Once correlated into personality based clusters, the AI Model will then be able will determine which personality cluster each net new patient will fall into and therefore predict their specific likelihood of opting for peritoneal dialysis or hemodialysis
2. once prediction is possible, customized nudges towards the selection of PD will be developed and tested to improve the likelihood that patients will opt for peritoneal dialysis
Hypotheses:
1. Scaled Insights Behavioral AI will identify the personality characteristics of patients with Chronic Kidney Disease who are likely to opt for both peritoneal dialysis and hemodialysis (Phase 1)
2. Scaled Insights Behavioral AI will identify the nudges that are most effective in encouraging or supporting patients with Chronic Kidney Disease in choosing peritoneal dialysis over hemodialysis (Phase 2)
Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Patients who have Chronic Kidney Disease (Phase 1)
Patients who have Chronic Kidney Disease attending clinics managed by Dallas Renal Group in Texas USA, Leeds Teaching Hospitals NHS Trust UK and Suffolk and North East Essex NHS Trust UK will be contacted via their health care provider to invite them to participate.
Predicting choice of dialysis
Language data collected using survey 1, will be analyzed using Scaled Insights Behavioral AI solution to identify personality attributes and values. The resulting individual scores will be plotted on a graph and be used to identify specific personality clusters of patients.
Participants will respond to a survey that utilizes open and closed ended questions, asking broad questions about kidney failure and associated behaviors (e.g. diet, attitudes towards treatment). The open-ended questions will gather a natural language sample of 100-300 words whilst closed questions will capture data using Likert scale and multiple-choice responses.
The open-ended questions will gather a natural language sample of 100-300 words for analysis using Scaled Insights Behavioral AI approach. This language sample will be analyzed using Scaled Insights Behavioral AI system to identify personality attributes and values. Patients will also be asked their likelihood of selecting PD over HD.
Patients who have Chronic Kidney Disease (Phase 2)
Patients who have Chronic Kidney Disease and are attending the units managed by Dallas Renal Group in Texas USA, Leeds Teaching Hospitals NHS Trust UK and Suffolk and North East Essex NHS Trust UK.
Behavioral nudges
Patients with Chronic Kidney Disease, participants will be provided with their predicted personalized nudge to increase their likelihood of either maintaining their choice of peritoneal dialysis, or switching from hemodialysis to peritoneal dialysis.
Participants will respond to a survey that utilizes open and closed ended questions, asking broad questions about kidney failure and associated behaviors (e.g. diet, attitudes towards treatment). The open-ended questions will gather a natural language sample of 100-300 words whilst closed questions will capture data using Likert scale and multiple-choice responses.
Interventions
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Predicting choice of dialysis
Language data collected using survey 1, will be analyzed using Scaled Insights Behavioral AI solution to identify personality attributes and values. The resulting individual scores will be plotted on a graph and be used to identify specific personality clusters of patients.
Participants will respond to a survey that utilizes open and closed ended questions, asking broad questions about kidney failure and associated behaviors (e.g. diet, attitudes towards treatment). The open-ended questions will gather a natural language sample of 100-300 words whilst closed questions will capture data using Likert scale and multiple-choice responses.
The open-ended questions will gather a natural language sample of 100-300 words for analysis using Scaled Insights Behavioral AI approach. This language sample will be analyzed using Scaled Insights Behavioral AI system to identify personality attributes and values. Patients will also be asked their likelihood of selecting PD over HD.
Behavioral nudges
Patients with Chronic Kidney Disease, participants will be provided with their predicted personalized nudge to increase their likelihood of either maintaining their choice of peritoneal dialysis, or switching from hemodialysis to peritoneal dialysis.
Participants will respond to a survey that utilizes open and closed ended questions, asking broad questions about kidney failure and associated behaviors (e.g. diet, attitudes towards treatment). The open-ended questions will gather a natural language sample of 100-300 words whilst closed questions will capture data using Likert scale and multiple-choice responses.
Eligibility Criteria
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Inclusion Criteria
* Phase 2: US and UK adult patients aged 18+ years, with Chronic Kidney Disease stage 4-5.
Exclusion Criteria
* Phases 2: Young people aged \<18 years. People who do not have Chronic Kidney Disease stage 4-5. People who reside outside of the USA and UK.
18 Years
ALL
No
Sponsors
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Dallas Renal Group
UNKNOWN
The Leeds Teaching Hospitals NHS Trust
OTHER
Suffolk and North East Essex NHS Trust
UNKNOWN
Scaled Insights
INDUSTRY
Responsible Party
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Stuart W. Flint
Dr Stuart W. Flint
Principal Investigators
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Stuart W Flint, PhD
Role: PRINCIPAL_INVESTIGATOR
Scaled Insights
Locations
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Dallas Renal Group
Dallas, Texas, United States
Countries
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Central Contacts
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Facility Contacts
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Irfan Agha, MD
Role: backup
References
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Flint SW, Brown A, Tahrani AA, Piotrkowicz A, Joseph AC. Cross-sectional analysis to explore the awareness, attitudes and actions of UK adults at high risk of severe illness from COVID-19. BMJ Open. 2020 Dec 29;10(12):e045309. doi: 10.1136/bmjopen-2020-045309.
Flint SW, Leaver M, Griffiths A, Kaykanloo M. Disparate healthcare experiences of people living with overweight or obesity in England. EClinicalMedicine. 2021 Sep 15;41:101140. doi: 10.1016/j.eclinm.2021.101140. eCollection 2021 Nov.
Related Links
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Website for the AI company that developed the AI solution that will be used in this study.
Other Identifiers
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AI-Dialysis
Identifier Type: -
Identifier Source: org_study_id