Development of the Medicines Optimisation Assessment Tool (MOAT)
Development of the Medicines Optimisation Assessment Tool (MOAT) - Targeting Hospital Pharmacists' Input to Reduce Risks and Improve Patient Outcomes
Descripción general del estudio
Estado
Condiciones
Descripción detallada
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.
Tipo de estudio
Inscripción (Actual)
Contactos y Ubicaciones
Ubicaciones de estudio
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Bedfordshire
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Luton, Bedfordshire, Reino Unido, LU40DZ
- Luton and Dunstable University Hospital
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Criterios de participación
Criterio de elegibilidad
Edades elegibles para estudiar
Acepta Voluntarios Saludables
Géneros elegibles para el estudio
Método de muestreo
Población de estudio
Descripción
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
Plan de estudios
¿Cómo está diseñado el estudio?
Detalles de diseño
- Modelos observacionales: Grupo
- Perspectivas temporales: Futuro
¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
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Number of MRPs experienced by study participants
Periodo de tiempo: Through study completion (discharge from hospital), an average of 6 days
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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.
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Through study completion (discharge from hospital), an average of 6 days
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
|---|---|---|
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Feasibility of using the MOAT (content validity and ease of use)
Periodo de tiempo: 18 months
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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.
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18 months
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Potential efficiency savings
Periodo de tiempo: 18 months
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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.
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18 months
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Potential clinical risk to patients through use of the MOAT
Periodo de tiempo: 18 months
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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).
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18 months
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Colaboradores e Investigadores
Patrocinador
Colaboradores
Investigadores
- Investigador principal: Cathy Geeson, University College, London
Publicaciones y enlaces útiles
Fechas de registro del estudio
Fechas importantes del estudio
Inicio del estudio (Actual)
Finalización primaria (Actual)
Finalización del estudio (Actual)
Fechas de registro del estudio
Enviado por primera vez
Primero enviado que cumplió con los criterios de control de calidad
Publicado por primera vez (Estimar)
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
Última actualización enviada que cumplió con los criterios de control de calidad
Última verificación
Más información
Términos relacionados con este estudio
Palabras clave
Otros números de identificación del estudio
- 15/0525
- CDRF-2014-05-033 (Otro número de subvención/financiamiento: National Institute for Health Research (NIHR))
Plan de datos de participantes individuales (IPD)
¿Planea compartir datos de participantes individuales (IPD)?
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