Protocol for a Prospective (P) study to develop a model to stratify the risk (RI) of medication (M) related harm in hospitalized elderly (E) patients in the UK (The PRIME study). Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Protocol for a Prospective (P) study to develop a model to stratify the risk (RI) of medication (M) related harm in hospitalized elderly (E) patients in the UK (The PRIME study). Issue 1 (December 2016)
- Main Title:
- Protocol for a Prospective (P) study to develop a model to stratify the risk (RI) of medication (M) related harm in hospitalized elderly (E) patients in the UK (The PRIME study)
- Authors:
- Stevenson, Jennifer
Parekh, Nikesh
Ali, Khalid
Timeyin, Jean
Bremner, Stephen
Van Der Cammen, Tischa
Allen, Jane
Schiff, Rebekah
Harchowal, Jatinder
Davies, Graham
Rajkumar, Chakravarthi - Abstract:
- Abstract Background Medication related harm (MRH) is a common cause of morbidity and hospital admission in the elderly, and has significant cost implications for both primary and secondary healthcare resources. The development of risk prediction models has become an increasingly common phenomenon in medicine and can be useful to guide objective clinical decision making, resource allocation and intervention. There are no risk prediction models that are widely used in clinical practice to identify elderly patients at high risk of MRH following hospital discharge. The aim of this study is to develop a risk prediction model (RPM) to identify elderly patients at high risk of MRH upon discharge from hospital, and to compare this with routine clinical judgment. Methods/Design This is a multi-centre, prospective observational study following a cohort of patients for 8 weeks after hospital discharge. Data collection including patient characteristics, medication use, social factors and frailty will take place prior to patient discharge and then the patient will be followed up in the community over the next 8 weeks to determine if they have experienced MRH. Research pharmacists will determine whether patients have experienced MRH by prospectively reviewing records for unplanned emergency department attendance, hospital readmission and GP consultation related to MRH. Research pharmacists will also telephone patients directly to determine self-reported MRH, which patients may not haveAbstract Background Medication related harm (MRH) is a common cause of morbidity and hospital admission in the elderly, and has significant cost implications for both primary and secondary healthcare resources. The development of risk prediction models has become an increasingly common phenomenon in medicine and can be useful to guide objective clinical decision making, resource allocation and intervention. There are no risk prediction models that are widely used in clinical practice to identify elderly patients at high risk of MRH following hospital discharge. The aim of this study is to develop a risk prediction model (RPM) to identify elderly patients at high risk of MRH upon discharge from hospital, and to compare this with routine clinical judgment. Methods/Design This is a multi-centre, prospective observational study following a cohort of patients for 8 weeks after hospital discharge. Data collection including patient characteristics, medication use, social factors and frailty will take place prior to patient discharge and then the patient will be followed up in the community over the next 8 weeks to determine if they have experienced MRH. Research pharmacists will determine whether patients have experienced MRH by prospectively reviewing records for unplanned emergency department attendance, hospital readmission and GP consultation related to MRH. Research pharmacists will also telephone patients directly to determine self-reported MRH, which patients may not have sought further medical attention for. The data collected will inform the development of a RPM which will be externally validated in a follow-up study. Discussion There are no RPMs that are used in clinical practice to help stratify elderly patients at high risk of MRH in the community following hospital discharge, despite this being a significant public health problem. This study plans to develop a clinically useful RPM that is better than routine clinical judgment. As this is a multi-centre study involving clinical settings that serve elderly people of heterogeneous sociodemographic background, it is anticipated that this RPM will be generalizable. … (more)
- Is Part Of:
- BMC geriatrics. Volume 16:Issue 1(2016)
- Journal:
- BMC geriatrics
- Issue:
- Volume 16:Issue 1(2016)
- Issue Display:
- Volume 16, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2016-0016-0001-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2016-12
- Subjects:
- Elderly -- Medication-related harm -- Risk prediction -- Prognostic research -- Public health
Geriatrics -- Periodicals
618.97005 - Journal URLs:
- http://www.biomedcentral.com/bmcgeriatr/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=33 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12877-016-0191-8 ↗
- Languages:
- English
- ISSNs:
- 1471-2318
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9885.xml