Abstract
Background
There is lack of standardisation in assessment tools used in geriatric medicine research, which makes
pooling of data and cross-study comparisons difcult.
Methods
We conducted a modifed Delphi process to establish measures to be included within core and extended
datasets for geriatric medicine research in the United Kingdom (UK). This included three complete questionnaire
rounds, and one consensus meeting. Participants were selected from attendance at the NIHR Newcastle Biomedical
Research Centre meeting, May 2019, and academic geriatric medicine e-mailing lists. Literature review was used to
develop the initial questionnaire, with all responses then included in the second questionnaire. The third questionnaire used refned options from the second questionnaire with response ranking.
Results
Ninety-eight responses were obtained across all questionnaire rounds (Initial: 19, Second: 21, Third: 58)
from experienced and early career researchers in geriatric medicine. The initial questionnaire included 18 questions
with short text responses, including one question for responders to suggest additional items. Twenty-six questions
were included in the second questionnaire, with 108 within category options. The third questionnaire included three
ranking, seven fnal agreement, and four binary option questions. Results were discussed at the consensus meeting.
In our position statement, the fnal consensus dataset includes six core domains: demographics (age, gender, ethnicity, socioeconomic status), specifed morbidities, functional ability (Barthel and/or Nottingham Extended Activities of
Daily Living), Clinical Frailty Scale (CFS), cognition, and patient-reported outcome measures (dependent on research
question). We also propose how additional variables should be measured within an extended dataset.
Conclusions
Our core and extended datasets represent current consensus opinion of academic geriatric medicine
clinicians across the UK. We consider the development and further use of these datasets will strengthen collaboration
between researchers and academic institutions.
There is lack of standardisation in assessment tools used in geriatric medicine research, which makes
pooling of data and cross-study comparisons difcult.
Methods
We conducted a modifed Delphi process to establish measures to be included within core and extended
datasets for geriatric medicine research in the United Kingdom (UK). This included three complete questionnaire
rounds, and one consensus meeting. Participants were selected from attendance at the NIHR Newcastle Biomedical
Research Centre meeting, May 2019, and academic geriatric medicine e-mailing lists. Literature review was used to
develop the initial questionnaire, with all responses then included in the second questionnaire. The third questionnaire used refned options from the second questionnaire with response ranking.
Results
Ninety-eight responses were obtained across all questionnaire rounds (Initial: 19, Second: 21, Third: 58)
from experienced and early career researchers in geriatric medicine. The initial questionnaire included 18 questions
with short text responses, including one question for responders to suggest additional items. Twenty-six questions
were included in the second questionnaire, with 108 within category options. The third questionnaire included three
ranking, seven fnal agreement, and four binary option questions. Results were discussed at the consensus meeting.
In our position statement, the fnal consensus dataset includes six core domains: demographics (age, gender, ethnicity, socioeconomic status), specifed morbidities, functional ability (Barthel and/or Nottingham Extended Activities of
Daily Living), Clinical Frailty Scale (CFS), cognition, and patient-reported outcome measures (dependent on research
question). We also propose how additional variables should be measured within an extended dataset.
Conclusions
Our core and extended datasets represent current consensus opinion of academic geriatric medicine
clinicians across the UK. We consider the development and further use of these datasets will strengthen collaboration
between researchers and academic institutions.
Original language | English |
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Number of pages | 11 |
Journal | BMC Geriatrics |
Volume | 23 |
Issue number | 168 |
DOIs | |
Publication status | Published - 23 Mar 2023 |
Keywords
- Minimum dataset
- Frailty
- ADL
- CFS
- Barthel