TY - JOUR
T1 - Challenges of one-year longitudinal follow-up of a prospective, observational cohort study using an anonymised database
T2 - Recommendations for trainee research collaboratives
AU - STARSurg Collaborative
AU - Kamarajah, Sivesh
AU - McLean, Kenneth A.
AU - Borakati, Aditya
AU - Drake, Thomas M.
AU - Woin, Evelina
AU - Khatri, Chetan
AU - Fitzgerald, J. Edward
AU - Harrison, Ewen M.
AU - Bhangu, Aneel
AU - Nepogodiev, Dmitri
AU - Glasbey, James C.
AU - Burke, Joshua
AU - Bath, Michael F.
AU - Claireaux, Henry A.
AU - Gundogan, Buket
AU - Mohan, Midhun
AU - Deekonda, Praveena
AU - Kong, Chia
AU - Joyce, Holly
AU - McNamee, Lisa
AU - Arulkumaran, Nishkantha
AU - Bell, Samira
AU - Duthie, Fiona
AU - Hughes, Jeremy
AU - Pinkney, Thomas D.
AU - Prowle, John
AU - Richards, Toby
AU - Thomas, Mark
AU - Dynes, K.
AU - Patel, M.
AU - Patel, P.
AU - Wigley, C.
AU - Suresh, R.
AU - Shaw, A.
AU - Klimach, S.
AU - Jull, P.
AU - Evans, D.
AU - Preece, R.
AU - Ibrahim, I.
AU - Manikavasagar, V.
AU - Smith, R.
AU - Brown, F. S.
AU - Deekonda, P.
AU - Teo, R.
AU - Sim, D. P.Y.
AU - Borakati, A.
AU - Logan, A. E.
AU - Barai, I.
AU - Amin, H.
AU - Suresh, S.
N1 - Publisher Copyright:
© 2019 The Author(s).
PY - 2019/12/12
Y1 - 2019/12/12
N2 - Background: Trainee research collaboratives (TRCs) have pioneered high quality, prospective 'snap-shot' surgical cohort studies in the UK. Outcomes After Kidney injury in Surgery (OAKS) was the first TRC cohort study to attempt to collect one-year follow-up data. The aims of this study were to evaluate one-year follow-up and data completion rates, and to identify factors associated with improved follow-up rates. Methods: In this multicentre study, patients undergoing major gastrointestinal surgery were prospectively identified and followed up at one-year following surgery for six clinical outcomes. The primary outcome for this report was the follow-up rate for mortality at 1 year. The secondary outcome was the data completeness rate in those patients who were followed-up. An electronic survey was disseminated to investigators to identify strategies associated with improved follow-up. Results: Of the 173 centres that collected baseline data, 126 centres registered to participate in one-year follow-up. Overall 62.3% (3482/5585) of patients were followed-up at 1 year; in centres registered to collect one-year outcomes, the follow-up rate was 82.6% (3482/4213). There were no differences in sex, comorbidity, operative urgency, or 7-day postoperative AKI rate between patients who were lost to follow-up and those who were successfully followed-up. In centres registered to collect one-year follow-up outcomes, overall data completeness was 83.1%, with 57.9% (73/126) of centres having ≥95% data completeness. Factors associated with increased likelihood of achieving ≥95% data completeness were total number of patients to be followed-up (77.4% in centres with < 15 patients, 59.0% with 15-29 patients, 51.4% with 30-59 patients, and 36.8% with > 60 patients, p = 0.030), and central versus local storage of patient identifiers (72.5% vs 48.0%, respectively, p = 0.006). Conclusions: TRC methodology can be used to follow-up patients identified in prospective cohort studies at one-year. Follow-up rates are maximized by central storage of patient identifiers.
AB - Background: Trainee research collaboratives (TRCs) have pioneered high quality, prospective 'snap-shot' surgical cohort studies in the UK. Outcomes After Kidney injury in Surgery (OAKS) was the first TRC cohort study to attempt to collect one-year follow-up data. The aims of this study were to evaluate one-year follow-up and data completion rates, and to identify factors associated with improved follow-up rates. Methods: In this multicentre study, patients undergoing major gastrointestinal surgery were prospectively identified and followed up at one-year following surgery for six clinical outcomes. The primary outcome for this report was the follow-up rate for mortality at 1 year. The secondary outcome was the data completeness rate in those patients who were followed-up. An electronic survey was disseminated to investigators to identify strategies associated with improved follow-up. Results: Of the 173 centres that collected baseline data, 126 centres registered to participate in one-year follow-up. Overall 62.3% (3482/5585) of patients were followed-up at 1 year; in centres registered to collect one-year outcomes, the follow-up rate was 82.6% (3482/4213). There were no differences in sex, comorbidity, operative urgency, or 7-day postoperative AKI rate between patients who were lost to follow-up and those who were successfully followed-up. In centres registered to collect one-year follow-up outcomes, overall data completeness was 83.1%, with 57.9% (73/126) of centres having ≥95% data completeness. Factors associated with increased likelihood of achieving ≥95% data completeness were total number of patients to be followed-up (77.4% in centres with < 15 patients, 59.0% with 15-29 patients, 51.4% with 30-59 patients, and 36.8% with > 60 patients, p = 0.030), and central versus local storage of patient identifiers (72.5% vs 48.0%, respectively, p = 0.006). Conclusions: TRC methodology can be used to follow-up patients identified in prospective cohort studies at one-year. Follow-up rates are maximized by central storage of patient identifiers.
KW - Follow-up
KW - Methodology
KW - Research collaborative
KW - Surgery
UR - https://www.scopus.com/pages/publications/85088862841
U2 - 10.1186/s12874-019-0857-y
DO - 10.1186/s12874-019-0857-y
M3 - Article
AN - SCOPUS:85088862841
SN - 1471-2288
VL - 19
JO - BMC Medical Research Methodology
JF - BMC Medical Research Methodology
IS - 1
M1 - 237
ER -