BMJ Open (Jun 2019)

Healthcare provision, functional ability and quality of life after proximal femoral fracture - ’ProFem': Study protocol of a population-based, prospective study based on individually linked survey and statutory health insurance data

  • Silke Andrich,
  • Michaela Ritschel,
  • Gabriele Meyer,
  • Astrid Stephan,
  • Marion Baltes,
  • Juliane Blessin,
  • Kathrin Jobski,
  • Alexander M Fassmer,
  • Burkhard Haastert,
  • Veronika Gontscharuk,
  • Werner Arend,
  • Lena Theunissen,
  • Denise Colley,
  • Raoul Hinze,
  • Simon Thelen,
  • Petra Fuhrmann,
  • Christian G G Sorg,
  • Joachim Windolf,
  • Christoph J Rupprecht,
  • Andrea Icks

DOI
https://doi.org/10.1136/bmjopen-2018-028144
Journal volume & issue
Vol. 9, no. 6

Abstract

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IntroductionProximal femoral fractures (PFF) are among the most frequent fractures in older people. However, the situation of people with a PFF after hospital discharge is poorly understood. Our aim is to (1) analyse healthcare provision, (2) examine clinical and patient-reported outcomes (PROs), (3) describe clinical and sociodemographic predictors of these and (4) develop an algorithm to identify subgroups with poor outcomes and a potential need for more intensive healthcare.Methods and analysisThis is a population-based prospective study based on individually linked survey and statutory health insurance (SHI) data. All people aged minimum 60 years who have been continuously insured with the AOK Rheinland/Hamburg and experience a PFF within 1 year will be consecutively included (SHI data analysis). Additionally, 700 people selected randomly from the study population will be consecutively invited to participate in the survey. Questionnaire data will be collected in the participants’ private surroundings at 3, 6 and 12 months after hospital discharge. If the insured person considers themselves to be only partially or not at all able to take part in the survey, a proxy person will be interviewed where possible. SHI variables include healthcare provision, healthcare costs and clinical outcomes. Questionnaire variables include information on PROs, lifestyle characteristics and socioeconomic status. We will use multiple regression models to estimate healthcare processes and outcomes including mortality and cost, investigate predictors, perform non-responder analysis and develop an algorithm to identify vulnerable subgroups.Ethics and disseminationThe study was approved by the ethics committee of the Faculty of Medicine, Heinrich-Heine-University Düsseldorf (approval reference 6128R). All participants including proxies providing written and informed consent can withdraw from the study at any time. The study findings will be disseminated through scientific journals and public information.Trial registration numberDRKS00012554.