Here is the structured PICO analysis for the thirty-fifth article you uploaded:


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Full Title (verbatim and exact):

“Developing evidence-based guidance for assessment of suspected infections in care home residents”

Hughes C, Ellard DR, Campbell A, et al.

BMC Geriatrics (2020); 20:59

DOI: https://doi.org/10.1186/s12877-020-1467-6


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Type of Article:

Multi-method development and consensus study (literature review, qualitative interviews, consensus meeting)


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PICO Analysis:

Population:

  • Older residents of UK care homes (residential and nursing), including those with and without dementia
  • Care home staff, general practitioners (GPs), geriatricians, microbiologists, and family members of residents participated in the development process
  • Stakeholders drawn from care homes in Northern Ireland and the West Midlands (England) 

Intervention:

  • Revised decision-making algorithm for the recognition and management of:
    • Urinary Tract Infections (UTIs)
    • Respiratory Tract Infections (RTIs)
    • Skin and Soft Tissue Infections (SSTIs)
  • The updated tool includes:
    1. Initial assessment – non-specific and specific signs of infection
    2. Observation phase – with temperature thresholds and symptom review
    3. Action phase – based on symptom criteria for escalation (e.g. call GP, monitor)
  • Also includes supportive care (e.g. fluids, paracetamol, observe), and was designed for use by both nursing and non-nursing staff 

Comparator:

  • The updated algorithm is a refinement of an earlier Canadian tool (Loeb et al., 2005)
  • The new algorithm was compared against:
    • Existing care home practice
    • Stakeholder perceptions
    • Latest evidence from literature (6 studies included)
  • No randomised trial or direct comparator intervention was conducted 

Outcome:

1. Person-centred outcomes:

  • Not directly assessed in this development study
  • Anticipated outcomes include:
    • Improved recognition of infection
    • Reduced unnecessary antibiotic use
    • Better alignment of decisions with resident condition and preferences
    • Empowerment of care home staff to confidently escalate concerns 

2. Process outcomes:

  • Strong focus on aligning the algorithm with:
    • Current clinical evidence
    • Usual practice realities
    • Stakeholder (staff, GP, family) perceptions
  • Staff found that it reflected usual practice, though noted:
    • Variability in temperature-taking access (non-nurses often prohibited)
    • Difficulties applying symptom criteria in residents with dementia
    • Concerns about strict wait times for observation before GP contact 

3. Health system outcomes:

  • Intended system impacts include:
    • Reduced inappropriate antibiotic prescribing
    • Fewer unnecessary GP calls or ED transfers
    • Standardised, evidence-based triage support for infections in aged care
  • Participants agreed it could improve antimicrobial stewardship when paired with training

Summary Conclusion:

This study developed and refined an evidence-based, UK-contextualised algorithm for care home staff to manage suspected infections (UTI, RTI, SSTI). The algorithm includes a three-step structure (assessment, observation, action) and was built using literature review, stakeholder consensus, and field interviews. It addresses concerns such as dementia-related diagnostic complexity, nurse vs non-nurse skill sets, and real-world application. The tool represents a promising support for antimicrobial stewardship and safer infection recognition in care homes, pending full implementation and outcome evaluation.


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