Health outcomes research

OUTCOMES10

Real-life data

  • RWE/ Observational studies focused on collecting information on pathologies or conditions, medicines, or medical devices in real clinical practice:

    • Cross-sectional, retrospective, or prospective design.
    • Evaluation of:
      • Patient-reported outcomes (PROs): health-related quality of life, adherence, satisfaction.
      • Clinical outcomes/ effectiveness.
      • Use of healthcare resources and costs.
  • Preference studies:

    • Discrete choice experiment, Best-Worst scaling, Ranking-based conjoint
    • Assessment of:
      • Preferences (relative importance) for the characteristics of the treatment, health product, or health intervention.
      • Differences and similarities in preferences between different stakeholders
      • Factors (socio-demographic, clinical, resource use) that may influence preferences.
  • Development and/or validation of instruments to measure PROs:

      • Develop and validate questionnaires that measure PROs in a population with needs not covered by current tools.
      • Validation in the Spanish population of questionnaires developed in other countries.
  • Perception studies of different stakeholders:

      • Online survey design.
      • Aimed at patients, healthcare professionals, and/or managers.
      • Invitation from Patients’ Associations, Scientific Societies, external panels, or clients.
      • Collection of information on the perception of each group concerning the topic of interest.
  • Tools to aid shared doctor-patient decision-making:

      • Interventions to improve the patient’s knowledge of the therapeutic or diagnostic alternatives available.
      • They help the patient to make decisions together with the medical team.
      • Particularly useful when there is uncertainty between different therapeutic or diagnostic options.
      • Development of contents according to recommendations.
  • Development or adaptation of health outcomes catalogs:

      • Set of health outcomes variables (clinical or PROs), their instruments, and periodicity of collection for the patient’s follow-up with pathology or condition.
      • Adaptation from ICHOM standard set or de novo development.
      • For the development phase, consensus techniques are used, considering patients, health professionals, and managers.
      • There is the option to carry out the implementation phase.
  • Patient Support Programmes (PSP):

      • Personalised solutions provide patients with the tools to optimise disease management and improve their knowledge, helping to achieve better health outcomes.
      • We provide support in PSP design, information collection, and/or analysis of the data collected.
  • Generation of evidence:

      • Systematic and narrative literature review
      • Critical analysis of the evidence
      • Meta-analysis
      • Indirect comparisons
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