| Autor: |
STARSurg Collaborative, Kamarajah, Sivesh, McLean, Kenneth A., Borakati, Aditya, Drake, Thomas M., Woin, Evelina, Khatri, Chetan, Fitzgerald, J. Edward, Harrison, Ewen M., Bhangu, Aneel, Nepogodiev, Dmitri, Glasbey, James C., Burke, Joshua, Bath, Michael F., Claireaux, Henry A., Gundogan, Buket, Mohan, Midhun, Deekonda, Praveena, Kong, Chia, Joyce, Holly |
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| Zdroj: |
BMC Medical Research Methodology; 12/12/2019, Vol. 19 Issue 1, p1-7, 7p, 1 Diagram, 4 Charts |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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