Measurement of health status

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Poster ID
2586
Authors' names
L McColl, M Poole, S W Parry
Author's provenances
Population Health Sciences Institute; Newcastle University.

Abstract

Introduction: Concerns about falling (CaF) is a psychosocial concept, precipitating a spiral of increasing inactivity, social isolation and falls, and is common in those who have experienced, or are at risk of, a fall. One method of assessing CaF is the Falls Efficacy Scale International version (FES-I),with previous studies finding associations between higher FES-I scores and poor scoring on commonly used clinical assessments of functional mobility and balance (Gait speed (GS), Timed up and Go test (TUG), and Five time sit to stand (FTSS)). Using the FES-I to predict poor functional mobility and balance has the potential to identify those at risk before an initial fall, at which point an intervention may be provided.

Methods: A prospective study was carried out over 24 weeks, in which 119 participants were recruited from the North Tyneside Community Falls Prevention Service (NTCFPS). Participants completed questionnaires and underwent physical testing whilst attending the falls clinic (baseline) and at week 24, completing bi-weekly falls diaries throughout. Participants were users of the NTCFPS, and residents of North Tyneside.

Results: Findings showed (i) the FES-I had a limited ability to predict poor scores on GS, TUG and FTSS; (ii) attending referred Age UK strength and balance classes was significantly associated with improvements in FES-I score and FTSS; (iii) CaF at the outset of Age UK training was not significantly associated with clinically significant improvements in GS, FTSS and TUG.

Conclusions: Whilst the predictive capabilities of the FES-I were limited, the measure showed an ability to track improvements in participants CaF in the short to medium term. Further work is needed to explore the measures applications within the general population of community dwelling older adults, rather than a cohort of falls service users.

 

Comments

Hello and thank you for presenting your work.  It would be great if there was a tool to help identify people at risk of future falls. How would you go about studying the effectiveness of FES-I predicting future falls in non-known faller populations?

Submitted by Dr Alasdair MacRae on

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Poster ID
1358
Authors' names
K Boothroyd 1; A Nicholson 1; E Tevendale 1
Author's provenances
1 Bishop Auckland Hospital, County Durham and Darlington NHS Foundation Trust

Abstract

Introduction

Patients with frailty who have emergency admissions are at risk of mortality and may benefit from Anticipatory Care Planning (ACP). Appropriate identification, to target limited resource in an in-patient environment can be challenging. We conducted a prospective study on a cohort of frail in-patients with a hospital admission of ≥ 72 hours duration.  We aimed to evaluate the effectiveness of the SPICT tool alongside Clinical Frailty Score (CFS) as a predictor of mortality to improve our targeting of patients for ACP.

Method.

On a single day a SPICT form was completed prospectively for each inpatient on 3 hospital inpatient wards (Complex Frailty Unit, General/Orthopaedic Rehabilitation, Step-Down Unit).  Patients were deemed SPICT positive if they scored on ≥ 2 General Indicators and ≥ 2 Clinical Indicators. CFS was also recorded. Electronic records of this patient cohort were followed up for 9 months.

Results

Of 66 inpatients, 58 (87.9%) were aged ≥ 65 years and had a CFS ≥ 4. Mode CFS value = 6 (23 patients, 39.7%).  32 (55.2%) were SPICT positive; 26 (44.8%) SPICT negative.  At 3 months follow-up SPICT had Positive Predictive Value (PPV) 40.6% and Negative Predictive Value (NPV) 84.6% for mortality. At 6 months PPV = 56.3%; NPV = 80.8%. At 9 months PPV = 59.4%; NPV = 76.9%.  SPICT negative patients with CFS 6 had mortality risk of 14.3% at 3, 6 and 9 months follow-up respectively.  SPICT positive patients with CFS 6 had mortality risks of 50% at 3 months and 62.5% at 6 and 9 months.

Conclusion

SPICT is a predictor of mortality in patients with frailty during unplanned admissions to hospital of ≥ 72 hours duration.  It is now used alongside CFS for all patients admitted to our Complex Frailty Unit, identifying patients most likely to benefit from inpatient ACP on discharge.

Presentation

Comments

Thank you for raising the awareness of this tool, I had not heard of it before. I will certainly use this for my patients on the transitional care ward where I am based and will be interested in seeing the results. It will help identify patients who may benefit from an ACP discussion and will also complement the work I have already done around ACP's in secondary care.

Submitted by Mrs Wendy Hay on

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This is a nice study demonstrating the usefulness of a predictive tool in assisting with further clinical management of people with frailty.

The preferred way of describing or using the term frailty is 'people or patients with frailty' rather than 'frail patients or frail people'.

Well done

Submitted by Dr Asangaedem Akpan on

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Thank you Dr Akpan.

The choice of phrase was unfortunately a result of the tight word limit but I quite agree!

Submitted by Dr Kathryn Boothroyd on

In reply to by Dr Asangaedem Akpan

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An excellent project with clinically useful and meaningful results.  This can easily be fitted into everyday clinical work.  Well done Dr Boothroyd.  

Submitted by Dr Andrew Kirby on

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