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Cardiometabolic Devices Accuracy Study

Primary Purpose

Diabetes Mellitus, Chronic Kidney Diseases, Hyperlipidemias

Status
Completed
Phase
Not Applicable
Locations
Nepal
Study Type
Interventional
Intervention
Determine the accuracy of quantitative measurements of GLU, HbA1c,CHOL and CRE with POC devices compared to a laboratory reference method (Roche)
Sponsored by
Foundation for Innovative New Diagnostics, Switzerland
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Diabetes Mellitus

Eligibility Criteria

20 Years - undefined (Adult, Older Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria:

  • 20 years or older (in line with KHDC eligibility age)
  • Attending the Dhulabari PHC facility or Kakarvitta health post in the context of the KHDC program
  • Haemoglobin levels ≥8 g/dL
  • Able and willing to provide informed consent

Exclusion Criteria:

  • Inability to provide sufficient capillary or venous whole blood sample for all tests
  • Haemoglobin levels < 8g/dL
  • Anyone attending the Dhulabari PHC facility or Kakarvitta health post for other reasons than the KHDC program

Sites / Locations

  • B.P Koirala Institute of Health Sciences

Arms of the Study

Arm 1

Arm Type

Other

Arm Label

Diagnostic

Arm Description

Fingerstick collection and venous whole blood collection.

Outcomes

Primary Outcome Measures

Correlation estimation of quantitative measurements of cardiometabolic blood parameters measured on a point-of-care device versus a laboratory reference method
Estimates of correlation between quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from capillary blood and tested with point-of-care multiparameter devices versus quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from venous blood and tested with a laboratory reference method.
Limits of agreements estimation of quantitative measurements of cardiometabolic blood parameters measured on a point-of-care device versus a laboratory reference method
Estimates of limits of agreement for quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from capillary blood and tested with point-of-care multiparameter devices versus quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from venous blood and tested with a laboratory reference method.

Secondary Outcome Measures

Operational characteristics of study device Tascom
Rate of invalid test results and error types for Tascom (POC device)
Operational characteristics of study device JanaCare
Rate of invalid test results and error types for JanaCare(POC device)
Usability of study devices Tascom
System usability score for Tascom (POC device) SUS Score (>80.3, Grade A, Excellent) SUS Score (68-80.3, Grade B, Good) SUS Score (68, Grade C, Okay) SUS Score (51-68, Grade D, Poor) SUS Score (<51, Grade F, Awful)
Usability of study devices JanaCare
System usability score for JanaCare(POC device) SUS Score (>80.3, Grade A, Excellent) SUS Score (68-80.3, Grade B, Good) SUS Score (68, Grade C, Okay) SUS Score (51-68, Grade D, Poor) SUS Score (<51, Grade F, Awful)

Full Information

First Posted
January 28, 2022
Last Updated
July 8, 2022
Sponsor
Foundation for Innovative New Diagnostics, Switzerland
Collaborators
University Hospital, Geneva, B.P. Koirala Institute of Health Sciences
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1. Study Identification

Unique Protocol Identification Number
NCT05257564
Brief Title
Cardiometabolic Devices Accuracy Study
Official Title
Performance and Usability Evaluation of Cardiometabolic Point-of-care Devices in a Target Use Setting
Study Type
Interventional

2. Study Status

Record Verification Date
February 2022
Overall Recruitment Status
Completed
Study Start Date
February 14, 2022 (Actual)
Primary Completion Date
May 29, 2022 (Actual)
Study Completion Date
June 30, 2022 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Foundation for Innovative New Diagnostics, Switzerland
Collaborators
University Hospital, Geneva, B.P. Koirala Institute of Health Sciences

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
With the rise of cardiovascular diseases (CVD) and diabetes, the global disease burden is shifting towards non-communicable diseases (NCDs). An increasing number of low- and middle-income countries (LMICs) are currently experiencing the double burden of infectious and non-communicable diseases. In order to facilitate a patient-centred approach to healthcare, there is an urgent need to ensure that primary healthcare (PHC) facilities in LMICs are capable of addressing diagnosis and monitoring of non-communicable diseases at the point-of-care (POC). Important minimum parameters for PHC POC diagnosis and monitoring of cardiometabolic diseases are lipids/lipoproteins, glucose, glycated haemoglobin (HbA1c) and serum creatinine, to address cardiovascular disease, diabetes and chronic kidney disease. While several technologies of multi-parameter POC devices capable of supporting diagnosis and monitoring of cardiometabolic diseases exist, their quantitative accuracy is often not well evaluated outside of the manufacturer's laboratories and published independent evaluations can be rare, particularly in the settings of intended use. These settings are PHC facilities in varying climatic environments and with staff without specialist laboratory training. Our study aims to evaluate the quantitative accuracy of 2 cardiometabolic POC devices in a setting of intended use and performed by the intended user. (Evaluating the quantitative measurements of glucose, HbA1c, total cholesterol and creatinine as measured in a healthcare setting with point-of-care multiparameter devices compared to a laboratory reference method).
Detailed Description
Independent performance evaluation of POC devices have shown that many devices, regardless of their intended use, do not perform as well as the manufacturers' claims may suggest. There are a variety of reasons for this, including difference in skills levels of personnel who were involved in generating the data for the manufacturer's claims and who actually perform the test in a clinic, limited evaluation of samples from different geographical locations and thus potential interfering substances or less controlled environmental conditions (e.g. dust, heat and humidity). Independent performance evaluations to assess clinical accuracy, as well as system usability are important to drive adoption of any technology, and even more so, if the technology is intended to move testing outside of the traditional setting, i.e. away from the central laboratory to the point-of-care. Many devices appear ideally suited for certain settings, however when it comes to actual implementation, the users often discover that the device and workflow do not meet their needs. The choice of a suboptimal device means badly invested resources and may lead to inappropriate use, resulting in fewer reliable tests for patients in the absence of alternatives. Data from real-world evaluations in settings of the intended use can support decision makers to select the right device. The setting for this study will be a primary healthcare facility and a health post in Nepal, where study participants attend the facility in the context of the "Early detection and management of Chronic Kidney Diseases, Hypertension, Diabetes and Cardiovascular disease in Community in Nepal (KHDC-Nepal) program", conducted by the University Hospital of Geneva and the BP Koirala Institute of Health Science in Nepal.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Diabetes Mellitus, Chronic Kidney Diseases, Hyperlipidemias

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
Prospective quantitative accuracy study
Masking
None (Open Label)
Allocation
N/A
Enrollment
359 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Diagnostic
Arm Type
Other
Arm Description
Fingerstick collection and venous whole blood collection.
Intervention Type
Device
Intervention Name(s)
Determine the accuracy of quantitative measurements of GLU, HbA1c,CHOL and CRE with POC devices compared to a laboratory reference method (Roche)
Intervention Description
Fingerstick capillary blood will be collected according to each manufacturer's Instructions for use. The fingerstick capillary blood samples will be used immediately on the point-of-care assays. The venous blood will be collected in specific tubes for plasma (GLU), for whole blood (HbA1c) and for serum (CREP, CHOL). Plasma will be separated by centrifugation at the PHC facility and health post and aliquots will be prepared. Serum will be left to clot prior to centrifugation and serum aliquots will be prepared at the PHC facility and health post. The samples will be stored until transfer to the BPKIHS reference lab.
Primary Outcome Measure Information:
Title
Correlation estimation of quantitative measurements of cardiometabolic blood parameters measured on a point-of-care device versus a laboratory reference method
Description
Estimates of correlation between quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from capillary blood and tested with point-of-care multiparameter devices versus quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from venous blood and tested with a laboratory reference method.
Time Frame
4 months
Title
Limits of agreements estimation of quantitative measurements of cardiometabolic blood parameters measured on a point-of-care device versus a laboratory reference method
Description
Estimates of limits of agreement for quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from capillary blood and tested with point-of-care multiparameter devices versus quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from venous blood and tested with a laboratory reference method.
Time Frame
4 months
Secondary Outcome Measure Information:
Title
Operational characteristics of study device Tascom
Description
Rate of invalid test results and error types for Tascom (POC device)
Time Frame
4 months
Title
Operational characteristics of study device JanaCare
Description
Rate of invalid test results and error types for JanaCare(POC device)
Time Frame
4 months
Title
Usability of study devices Tascom
Description
System usability score for Tascom (POC device) SUS Score (>80.3, Grade A, Excellent) SUS Score (68-80.3, Grade B, Good) SUS Score (68, Grade C, Okay) SUS Score (51-68, Grade D, Poor) SUS Score (<51, Grade F, Awful)
Time Frame
4 months
Title
Usability of study devices JanaCare
Description
System usability score for JanaCare(POC device) SUS Score (>80.3, Grade A, Excellent) SUS Score (68-80.3, Grade B, Good) SUS Score (68, Grade C, Okay) SUS Score (51-68, Grade D, Poor) SUS Score (<51, Grade F, Awful)
Time Frame
4 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
20 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: 20 years or older (in line with KHDC eligibility age) Attending the Dhulabari PHC facility or Kakarvitta health post in the context of the KHDC program Haemoglobin levels ≥8 g/dL Able and willing to provide informed consent Exclusion Criteria: Inability to provide sufficient capillary or venous whole blood sample for all tests Haemoglobin levels < 8g/dL Anyone attending the Dhulabari PHC facility or Kakarvitta health post for other reasons than the KHDC program
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Sanjib Sharma, Prof.Dr
Organizational Affiliation
head of the B.P Koirala Institute of Health Sciences
Official's Role
Principal Investigator
Facility Information:
Facility Name
B.P Koirala Institute of Health Sciences
City
Dharān Bāzār
State/Province
Sunsari
ZIP/Postal Code
56700
Country
Nepal

12. IPD Sharing Statement

Plan to Share IPD
No

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Cardiometabolic Devices Accuracy Study

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