Domain-Specific Theory, Methods, and Interpretation Questions and Group Ratings on Response Accuracy and Completeness
| Topics . | Question Type . | Questions . | Accuracy (Range: 1–6) . | Completeness (Range: 1–6) . |
|---|---|---|---|---|
| Gero-clinical science | Theory | Act as a role of scientist, explain the theoretical understanding of mobility impairment in adults older than 65 years. | 6 | 3 (average of 4, 4, 1) |
| Methods | Act as a scientist, what research method should be used to investigate mobility impairment in adults older than 65 years. | 6 | 4 | |
| Interpretation | Act as a scientist, how would you interpret results from your recommended methods. | 6 | 1 | |
| Average: | 6 | 2.7 | ||
| Basic geroscience | Theory | What is the relationship between kynurenine metabolism and aging? | 6 | 4 |
| Methods | What is an effective experimental approach to reduce kynurenine metabolites to promote healthy aging in mice? | 4 | 4 | |
| Interpretation | What would be a plausible reason why KATs could not have an effect on aging and muscular health in mice? | 5 | 4 | |
| Average: | 5 | 4 | ||
| Informatics with electronic health records | Theory | What are the key issues in research to use EHR data to predict frailty? | 6 | 6 |
| Methods | What are the features we want to be included in the model to predict frailty using EHR data? Do EHR data include frailty labels? When there is no frailty label in EHR data, what methods should be used? | 6 | 6 | |
| Interpretation | If we are able to predict frailty using EHR, what does that mean in the field of geriatrics? | 6 | 4 | |
| Average: | 6 | 5.3 | ||
| Gero-technology | Theory | What are the gaps in research concerning detecting exact falls using the accelerometer in a healthcare facility? | 4 | 4 |
| Methods | What kind of analysis should be done with the accelerometer data used for fall detection? | 3 | 1 | |
| Interpretation | How to interpret the difference in fall detection between accelerometer data and other types of alarms in healthcare facility? | 4 | 1 | |
| Average: | 3.7 | 2 |
| Topics . | Question Type . | Questions . | Accuracy (Range: 1–6) . | Completeness (Range: 1–6) . |
|---|---|---|---|---|
| Gero-clinical science | Theory | Act as a role of scientist, explain the theoretical understanding of mobility impairment in adults older than 65 years. | 6 | 3 (average of 4, 4, 1) |
| Methods | Act as a scientist, what research method should be used to investigate mobility impairment in adults older than 65 years. | 6 | 4 | |
| Interpretation | Act as a scientist, how would you interpret results from your recommended methods. | 6 | 1 | |
| Average: | 6 | 2.7 | ||
| Basic geroscience | Theory | What is the relationship between kynurenine metabolism and aging? | 6 | 4 |
| Methods | What is an effective experimental approach to reduce kynurenine metabolites to promote healthy aging in mice? | 4 | 4 | |
| Interpretation | What would be a plausible reason why KATs could not have an effect on aging and muscular health in mice? | 5 | 4 | |
| Average: | 5 | 4 | ||
| Informatics with electronic health records | Theory | What are the key issues in research to use EHR data to predict frailty? | 6 | 6 |
| Methods | What are the features we want to be included in the model to predict frailty using EHR data? Do EHR data include frailty labels? When there is no frailty label in EHR data, what methods should be used? | 6 | 6 | |
| Interpretation | If we are able to predict frailty using EHR, what does that mean in the field of geriatrics? | 6 | 4 | |
| Average: | 6 | 5.3 | ||
| Gero-technology | Theory | What are the gaps in research concerning detecting exact falls using the accelerometer in a healthcare facility? | 4 | 4 |
| Methods | What kind of analysis should be done with the accelerometer data used for fall detection? | 3 | 1 | |
| Interpretation | How to interpret the difference in fall detection between accelerometer data and other types of alarms in healthcare facility? | 4 | 1 | |
| Average: | 3.7 | 2 |
Notes: Accuracy ratings range from 1 (“Mostly Incorrect”) to 6 (“Mostly Correct”). Completeness ratings range from 1 (“Extremely Incomplete”) to 6 (“Extremely Comprehensive”). Both scores are based on group consensus. EHR = electronic health record; KAT = kynurenine aminotransferase.
Domain-Specific Theory, Methods, and Interpretation Questions and Group Ratings on Response Accuracy and Completeness
| Topics . | Question Type . | Questions . | Accuracy (Range: 1–6) . | Completeness (Range: 1–6) . |
|---|---|---|---|---|
| Gero-clinical science | Theory | Act as a role of scientist, explain the theoretical understanding of mobility impairment in adults older than 65 years. | 6 | 3 (average of 4, 4, 1) |
| Methods | Act as a scientist, what research method should be used to investigate mobility impairment in adults older than 65 years. | 6 | 4 | |
| Interpretation | Act as a scientist, how would you interpret results from your recommended methods. | 6 | 1 | |
| Average: | 6 | 2.7 | ||
| Basic geroscience | Theory | What is the relationship between kynurenine metabolism and aging? | 6 | 4 |
| Methods | What is an effective experimental approach to reduce kynurenine metabolites to promote healthy aging in mice? | 4 | 4 | |
| Interpretation | What would be a plausible reason why KATs could not have an effect on aging and muscular health in mice? | 5 | 4 | |
| Average: | 5 | 4 | ||
| Informatics with electronic health records | Theory | What are the key issues in research to use EHR data to predict frailty? | 6 | 6 |
| Methods | What are the features we want to be included in the model to predict frailty using EHR data? Do EHR data include frailty labels? When there is no frailty label in EHR data, what methods should be used? | 6 | 6 | |
| Interpretation | If we are able to predict frailty using EHR, what does that mean in the field of geriatrics? | 6 | 4 | |
| Average: | 6 | 5.3 | ||
| Gero-technology | Theory | What are the gaps in research concerning detecting exact falls using the accelerometer in a healthcare facility? | 4 | 4 |
| Methods | What kind of analysis should be done with the accelerometer data used for fall detection? | 3 | 1 | |
| Interpretation | How to interpret the difference in fall detection between accelerometer data and other types of alarms in healthcare facility? | 4 | 1 | |
| Average: | 3.7 | 2 |
| Topics . | Question Type . | Questions . | Accuracy (Range: 1–6) . | Completeness (Range: 1–6) . |
|---|---|---|---|---|
| Gero-clinical science | Theory | Act as a role of scientist, explain the theoretical understanding of mobility impairment in adults older than 65 years. | 6 | 3 (average of 4, 4, 1) |
| Methods | Act as a scientist, what research method should be used to investigate mobility impairment in adults older than 65 years. | 6 | 4 | |
| Interpretation | Act as a scientist, how would you interpret results from your recommended methods. | 6 | 1 | |
| Average: | 6 | 2.7 | ||
| Basic geroscience | Theory | What is the relationship between kynurenine metabolism and aging? | 6 | 4 |
| Methods | What is an effective experimental approach to reduce kynurenine metabolites to promote healthy aging in mice? | 4 | 4 | |
| Interpretation | What would be a plausible reason why KATs could not have an effect on aging and muscular health in mice? | 5 | 4 | |
| Average: | 5 | 4 | ||
| Informatics with electronic health records | Theory | What are the key issues in research to use EHR data to predict frailty? | 6 | 6 |
| Methods | What are the features we want to be included in the model to predict frailty using EHR data? Do EHR data include frailty labels? When there is no frailty label in EHR data, what methods should be used? | 6 | 6 | |
| Interpretation | If we are able to predict frailty using EHR, what does that mean in the field of geriatrics? | 6 | 4 | |
| Average: | 6 | 5.3 | ||
| Gero-technology | Theory | What are the gaps in research concerning detecting exact falls using the accelerometer in a healthcare facility? | 4 | 4 |
| Methods | What kind of analysis should be done with the accelerometer data used for fall detection? | 3 | 1 | |
| Interpretation | How to interpret the difference in fall detection between accelerometer data and other types of alarms in healthcare facility? | 4 | 1 | |
| Average: | 3.7 | 2 |
Notes: Accuracy ratings range from 1 (“Mostly Incorrect”) to 6 (“Mostly Correct”). Completeness ratings range from 1 (“Extremely Incomplete”) to 6 (“Extremely Comprehensive”). Both scores are based on group consensus. EHR = electronic health record; KAT = kynurenine aminotransferase.
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