BMJ Open (Mar 2022)

Development of a minimum dataset for subacute rehabilitation: a three-round e-Delphi consensus study

  • Katrina Campbell,
  • Theresa Green,
  • Tony Williams,
  • Kellie Stockton,
  • Cate Cameron,
  • Nadine Foster,
  • Merrilyn Banks,
  • Susan Turner,
  • Hannah Chung,
  • Kent Druery,
  • Julia Druery,
  • Sarah J Wallace,
  • Adrienne M Young,
  • Alicia Chaplain,
  • Joshua R Lowe,
  • Kana Appadurai,
  • Penni Burfein,
  • Pauline Burge,
  • Haylee Kajewski,
  • Jasmine Kellaway,
  • Jordan McCamley,
  • Scott Parkinson,
  • Alana Paviour,
  • Ingrid Rosbergen-Wildemors,
  • Donna Ryan,
  • Sonia Sam,
  • Kylie Short,
  • Ben Hackwood

DOI
https://doi.org/10.1136/bmjopen-2021-058725
Journal volume & issue
Vol. 12, no. 3

Abstract

Read online

Objectives To develop a minimum dataset to be routinely collected across a heterogenous population within a subacute rehabilitation service to guide best care and outcomes for patients, and value for the health service.Design Three-round e-Delphi exercise, followed by consensus meetings.Setting Multicentre study in Brisbane, Australia.Participants Rehabilitation decision-makers, researchers and clinicians were invited to participate in the e-Delphi exercise. A multidisciplinary project steering committee (rehabilitation decision makers, researchers, clinicians and consumers) participated in consensus meetings.Methods In round 1 of the e-Delphi, participants responded to an open-ended question, generating data and outcomes that should be routinely collected in rehabilitation. In rounds 2 and 3, participants rated the importance of collecting each item on a nine-point scale. Consensus was defined a priori, as items rated as ‘essential’ by at least 70%, and of ‘limited importance’ by less than 15%, of respondents. Consensus meetings were held to further refine and define the dataset for implementation.Results In total, 38 participants completed round 1 of the e-Delphi. Qualitative content analysis of their responses generated 1072 codes, which were condensed into 39 categories and 209 subcategories. Following two rounds of rating (round 2: n=32 participants; round 3: n=28 participants), consensus was reached for 124 items. Four consensus meetings (n=14 participants) resulted in the final dataset which included 42 items across six domains: (1) patient demographics, (2) premorbid health and psychosocial information, (3) admission information, (4) service delivery and interventions, (5) outcomes and (6) caregiver information and outcomes.Conclusions We identified 42 items that reflect the values and experiences of rehabilitation stakeholders. Items unique to this dataset include caregiver information and outcomes, and detailed service delivery and intervention data. Future research will establish the feasibility of collection in practice.