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Development of the Medicines Optimisation Assessment Tool (MOAT)

27. marts 2018 opdateret af: University College, London

Development of the Medicines Optimisation Assessment Tool (MOAT) - Targeting Hospital Pharmacists' Input to Reduce Risks and Improve Patient Outcomes

The purpose of this study is to develop a prediction-tool, the Medicines Optimisation Assessment Tool (MOAT), to assist hospital pharmacists identify patients at highest risk of preventable medication related problems (MRPs). This has the potential to permit pharmacists to identify and focus on the small number of patients (approximately 6%) who are likely to experience a significant MRP while in hospital.

Studieoversigt

Status

Afsluttet

Detaljeret beskrivelse

The purpose of this study is to develop a prediction-tool, the Medicines Optimisation Assessment Tool (MOAT), to assist hospital pharmacists identify patients at highest risk of preventable medication related problems (MRPs).

The MOAT will be developed following recommendations of the PROGnosis RESearch Strategy (PROGRESS) partnership. A prospective cohort study of 1,500 patients will be used to develop the MOAT from the medical wards of two UK hospitals. Data will be collected on prognostic factors (selected based on a review of published literature and expert opinion) for each patient, together with details of MRPs that occur. All MRPs will be reviewed by an expert panel who will grade for severity and preventability using recognised criteria. Multivariable logistic regression models will be used to determine the relationship between potential risk factors such as polypharmacy, renal impairment, and the use of 'high risk' medicines, and the study outcome of preventable medication related problems that are at least moderate in severity. Bootstrapping will be used to adjust the MOAT for optimism, and predictive performance will be assessed using calibration and discrimination. A simplified scoring system will also be developed, which will be assessed for sensitivity and specificity.

The intention of this research is to develop a prediction-tool (the MOAT), which has the potential to be adopted widely into clinical practice. If the initial research is successful in producing a prediction-tool with good predictive performance further research will be carried out to assess how feasible it would be to use the MOAT in practice, the potential efficiency savings, and an assessment of clinical risk to patients through use of the MOAT.

Undersøgelsestype

Observationel

Tilmelding (Faktiske)

1552

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiesteder

    • Bedfordshire
      • Luton, Bedfordshire, Det Forenede Kongerige, LU40DZ
        • Luton and Dunstable University Hospital

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år og ældre (Voksen, Ældre voksen)

Tager imod sunde frivillige

Ingen

Køn, der er berettiget til at studere

Alle

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Patients admitted to the Medical Division (General, Emergency, and Elderly Medicine) at the Luton and Dunstable University Hospital and Watford General Hospital

Beskrivelse

Inclusion Criteria:

  • subject admitted to the Medical Division (General, Emergency, and Elderly Medicine) at the study sites

Exclusion Criteria:

  • subject admitted for investigation-only
  • subject not prescribed medication
  • subject both admitted and subsequently discharged outside of core pharmacy working hours

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Observationsmodeller: Kohorte
  • Tidsperspektiver: Fremadrettet

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Number of MRPs experienced by study participants
Tidsramme: Through study completion (discharge from hospital), an average of 6 days
The outcome measure (i.e. all MRPs) will be graded for severity and preventability, then multivariate analysis such as logistic regression models will be used to determine the relationship between predictors (prognostic factors) and the outcome (MRPs which are at least moderate in severity and preventable). The objective will be to find the best combinations of predictors that are highly sensitive for detecting the outcome measure while achieving the maximum possible specificity.
Through study completion (discharge from hospital), an average of 6 days

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Feasibility of using the MOAT (content validity and ease of use)
Tidsramme: 18 months
Content validity will be assessed to ensure that clinicians consider the items in the MOAT to be clinically sensible, no obvious items are missing, the method of grouping the individual predictors is reasonable, and the items seem appropriate for the purpose of the tool. Ease of use depends on the length of time needed to apply the tool and the simplicity of interpretation. A consensus development technique will be used to generate consensus on content validity and simplicity of interpretation. Time to apply the MOAT will be assessed by observation.
18 months
Potential efficiency savings
Tidsramme: 18 months
The impact of the MOAT in terms of potential workload for pharmacists will be informed by the number of patients who screen positive (from internal validation). This will indicate the proportion of patients who would be expected to require review by a pharmacist, i.e. the total number that pharmacists would need to see to identify those at highest risk of MRPs.
18 months
Potential clinical risk to patients through use of the MOAT
Tidsramme: 18 months
Patients who experience an MRP but would be excluded from pharmacist review by the MOAT (i.e. false negatives) will be reviewed in detail to identify the potential clinical risk (i.e. severity of missed events).
18 months

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Efterforskere

  • Ledende efterforsker: Cathy Geeson, University College, London

Publikationer og nyttige links

Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

1. april 2016

Primær færdiggørelse (Faktiske)

1. august 2017

Studieafslutning (Faktiske)

2. marts 2018

Datoer for studieregistrering

Først indsendt

12. oktober 2015

Først indsendt, der opfyldte QC-kriterier

19. oktober 2015

Først opslået (Skøn)

21. oktober 2015

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

29. marts 2018

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

27. marts 2018

Sidst verificeret

1. oktober 2017

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • 15/0525
  • CDRF-2014-05-033 (Andet bevillings-/finansieringsnummer: National Institute for Health Research (NIHR))

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

Ingen

Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .

Kliniske forsøg med Medicines Optimisation

Abonner