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| Name | Class |
|---|---|
| Dallas Renal Group | UNKNOWN |
| The Leeds Teaching Hospitals NHS Trust | OTHER |
| Suffolk and North East Essex NHS Trust | UNKNOWN |
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Scaled Insights Behavioral AI will be used to improve clinicians ability to detect and understand: The likelihood of patients with kidney failure opting for peritoneal dialysis and to select the right personalized nudge to get CKD patients to choose peritoneal dialysis
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:
Hypotheses:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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. |
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| 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. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Predicting choice of dialysis | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Choice of Dyalysis | The Investigators will use AI to predict patients choice of dialysis. This choice will be recorded by their clinical provider as per normal routine care. | From August 2024 to August 2025 |
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Inclusion Criteria:
Exclusion Criteria:
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There are two phases in this study.
Phase 1: 2000 participants in total. 1000 in the USA, and 1000 in the UK; 500 patients who predict they will choose peritoneal dialysis and 500 who predict they will choose hemodialysis in each country.
Patients who agree to participate in the study, will consent using an online survey disseminated to patients with Chronic Kidney Disease stage 4-5. Where needed, participants can be supported to complete the survey by a Research Nurse/Assistant to complete the survey.
Phase 2: 1000 Patients with Chronic Kidney Disease in total. 500 in the USA and 500 in the UK.
Patients who agree to participate in the study. They will be asked to access a link to an online web platform where the study will be hosted.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Stuart W Flint, PhD | Contact | +44 7929404094 | sflint@scaledinsights.com |
| Name | Affiliation | Role |
|---|---|---|
| Stuart W Flint, PhD | Scaled Insights | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dallas Renal Group | Recruiting | Dallas | Texas | 75230 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33376185 | Result | 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. | |
| 34585130 | Result | 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. |
| Label | URL |
|---|---|
| Website for the AI company that developed the AI solution that will be used in this study. | View source |
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| ID | Term |
|---|---|
| D051436 | Renal Insufficiency, Chronic |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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| Behavioral nudges | Behavioral | 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. |
|
| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |