Multi-Morbidity and Polypharmacy
Multi-morbidity and polypharmacy are common in older people and pose a challenge for health and social care systems, especially in the context of global population ageing. They are complex and interrelated concepts in the care of older people that require early detection and patient-centred shared decision making underpinned by multi-disciplinary team-led comprehensive geriatric assessment (CGA) across all health and social care settings. Personalised care plans need to remain responsive and adaptable to the needs and wishes of the patient, enabling the individual to maintain their independence.
Multi-morbidity refers to the presence of two or more simultaneous long-term health conditions in the older individual concerned . These can span physical as well as psychosocial domains and include conditions such as cardiovascular, metabolic, musculoskeletal disease, mental health illness, chronic pain, sensory deprivation, and substance misuse . Multi-morbidity increases with age but is not only limited to older people. For example, in a cross sectional study of over 1 million patients in Scotland, the prevalence of multi-morbidity was 30.4% in those aged 45–64 years increasing to 81.5% in those >85 years . A higher prevalence of multi-morbidity is present in women and those who have a lower socio-economic status and educational attainment. In addition, there are racial and ethnic differences that affect prevalence rates .
Long-term health conditions account for approximately 50% of general practitioner (GP) appointments, 64% of hospital outpatient appointments, and 70% of inpatient hospital admissions  and is therefore responsible for approximately 70% of the United Kingdom, National Health Service (UK NHS) current healthcare expenditure. People living with multi-morbidity are at greater risk of incident as well as worsening of pre-existing mental health problems, unplanned hospital admission, experience higher rates of polypharmacy and adverse drug reactions (ADR), and have a reduced quality of life . Living with multi-morbidity is associated with increased rates of mortality. For example, adults aged >60 years with ≥2 or ≥3 health conditions had a 1.73 (95% CI: 1.41; 2.13) and 2.72 (95% CI: 1.81; 4.08) increased risk of dying respectively, compared to those who were not multi-morbid . The proportion of patients living with multi-morbidity is likely to climb as life expectancy continues to rise  and is fast becoming a global health problem .
The associations between multi-morbidity and poor outcome are likely to be multifactorial. Health conditions have a tendency to cluster and interact with other related diseases and can worsen the severity of each disease or result in the development of a further potentially more serious condition . For example, the metabolic syndrome is characterised by central obesity alongside the presence of insulin resistance, hypertension, and hyperlipidaemia . Interaction between these diseases leads to a worsening of each individual condition, as well as an increased risk of cardiovascular events such as stroke or myocardial infarction . Further examples relevant for older people are congestive cardiac failure and dementia—where individuals often have several co-existent long-term conditions such as diabetes and hypertension and have impairments in activities of daily living (ADL) and physical function . Patients such as these who are multi-morbid and have functional limitations can experience the poorest health outcome from the inability to self-manage chronic long-term conditions as well as the ensuing polypharmacy .
In clinical practice, healthcare infrastructure has not been optimised to manage multiple diseases simultaneously, which leads to disorganized care for those who are multi-morbid. The norm amongst most medical professionals out with geriatric medicine is to specialise and manage single organ systems, or even a single disease within a given specialty. Whilst this is sometimes necessary, treating diseases in isolation can lead to the duplication of efforts as well as fragmented, poorly coordinated healthcare assessments without adequate responsibility, accountability, and follow up . The emphasis on managing single diseases in isolation ignores the unique dynamics of disease clusters. Furthermore, clinical trials of new medications often exclude participants who have an additional health problem to the one being investigated  and importantly, often by design, exclude older people . This causes uncertainty regarding the potential risks and benefits of starting evidence-based medications for an older patient in the context of their multi-morbidity and invariably leads to additional treatment burden, lower adherence, and increased risk of ADR .
2. Multi-Morbidity and Frailty
Multi-morbidity and frailty are associated conditions, but the terms should not be used interchangeably as often is the case amongst specialties in the author’s clinical experience. A recent meta-analysis of 78,122 participants of 48 studies found that, on average, seven out of ten adults living with frailty were also multi-morbid . However, people living with multi-morbidity were not necessarily found to be living with frailty, as many people with multiple health conditions can have the sufficient physiological reserve to recover from insults, restore homeostasis, and return to their previous baseline of health.
Polypharmacy, defined as the concurrent use of at least 4–5 medications rises considerably as the number of health problems and healthcare service use increases . In the health survey for England 2016, 56% of individuals aged 85 and over were taking five or more medicines compared to 9% of those aged 45–54. A study of 180,815 primary care records found that amongst patients with two comorbidities, 20.8% received four to nine medications and 1.1% received ten or more medications . In contrast, amongst patients with six or more comorbidities, these values increased to 47.7% and 41.7%, respectively. Several studies have also found that the number of medications increased after hospital admission with the prescription of two additional drugs on average .
In the past decade, the average number of items prescribed for each person per year in England has increased. For example, the proportion of patients receiving ≥10 medications was 1.9% in 1995, increasing to 5.8% in 2010 . One explanation for this rise is that asymptomatic people are increasingly treated with preventative interventions to reduce their future risk of mortality; this is seen particularly with cardiovascular disease. If each co-morbid condition is treated in accordance to national guidelines, patients would be on many more medications . The absolute benefit offered by each additional medicine is likely to reduce when a person is taking multiple preventative medicines. In addition, the risk of harm is likely to increase the more medicines a person takes. However, not all polypharmacy is inappropriate. Prescriptions are appropriate in instances where medicines have been optimised for complex conditions according to best evidence. Advanced age in itself should not be a reason for withholding effective therapies . Problematic polypharmacy occurs when there is the prescription of multiple medicines and the risk of harm outweighs benefits and the consequent pill burden leads to lower adherence, ADR or risks of potentially harmful interactions. ADR can lead to further morbidity. For example, within two hospitals in the UK, a study suggested that the prevalence of ADR-related admissions was 6.5%, with ADR directly leading to acute admission in 80% of cases . In a follow up study of hospital wards, it was estimated that one in seven patients experienced an ADR that contributed to health deterioration and increased the length of hospital stay .
4. Management of Multi-Morbidity and Polypharmacy
Key points to managing older individuals living with multi-morbidity and polypharmacy include early identification of those living with multiple health conditions, identification of frailty, and patient-centred shared decision making . Underpinning these points are the 5 tenets of age-friendly care: what matters most to the patient; multi-complexity management, including psychosocial problems; medication management; mentation—to account for cognitive awareness when making shared decisions; and mobility—to account for gait and balance problems when considering holistic management of the patient . This tool allows clinicians to capture and communicate complexities in understandable and easily remembered terms. Poor communication between clinicians as well as between clinicians and patients/caregivers is the most common cause of adverse clinical events and complaints about care. In this regard, patient-centred or patient priority care that accounts for the patient’s preferences, needs, and values ensures that patients or their appointed attorneys guide clinical decision making .
Balancing the recommendations of multiple guidelines for those who are multi-morbid inevitably leads to polypharmacy and danger of the prescribing cascade where medications are prescribed to counter side-effects of another medication. Medicine optimisation is defined as a person-centred, evidence-based approach to safe and effective medicine use to ensure people obtain the best possible outcomes from their medicines and that they continue to provide benefit for the individual. Medicines optimisation ensures that there is a specific and justifiable reason for every medication the patient is taking and that this is as optimum as it can be based on evidence. This includes stopping medications that are having no benefit or causing side effects, interacting and/or are contra-indicated but also upgrading prescriptions to newer medications according to contemporaneous evidence and guidance. Several guides are available to help with medicines optimisation such as the Beers Criteria, Medications Appropriateness Index, STOPP-START, NO TEARS, and the PINCER tool . These guides rely on actions taken by all health and social care practitioners and requires patient engagement and professional collaboration across health and social care settings .
Medicine optimisation in older people is especially important for drugs with a narrow therapeutic index (NTI) such as digoxin, warfarin, aminophylline, lithium, and some antidepressants. Older people are more susceptible to anticholinergic side effects from commonly prescribed drugs such as amitriptyline, oxybutynin, cetirizine, and mirtazapine, which include delirium, reduced cognition, gait and balance problems, constipation, urinary retention, and dry mouth . These conditions may be misinterpreted as new conditions and can initiate a prescribing cascade. In addition, older individuals who have a shorter life expectancy may not benefit from prescribed medications that take time before therapeutic benefit is established. Examples include anti-hypertensives drugs used to treat hyperlipidaemia and osteoporosis treatments .
Deprescribing requires knowledge of the potential for ADR as well as patient factors spanning physical, social, and psychological domains, e.g., cognition and physical capability. When planned, patient-centred, and backed up by education and training, deprescribing has not been associated with any significant side effects or adverse outcomes . Older individuals frequently dislike taking multiple prescribed medications for several reasons such as complex dosing regimens, fear, scepticism—especially when asymptomatic—and media portrayal. These factors affect adherence, and studies suggest that up to 50% of prescribed medications may not be taken by older people . Given the heterogeneity of disease trajectories in older people as well as symptoms and individual patient preferences, goals of care will vary between individuals. GPs are in an ideal position to make shared decisions with patients and families to prescribe, deprescribe, rationalise, and optimise medications but need funded time and space to nurture long-lasting, trustful therapeutic partnerships . It is also clear that the impact of multi-morbidity, frailty, and polypharmacy spans both primary and secondary care. Geriatricians and pharmacists are ideally placed alongside GPs to aid goal setting, implement the principles of comprehensive geriatric assessment (CGA), and provide patient-centred care across this arbitrary primary/secondary care divide .
Patient-centred, age-friendly care and polypharmacy management are embodied in the core principles of CGA where a holistic and balanced approach to individualise and prioritise management opinions take centre stage. Exploring a person’s personal goals, the health problems that have the most impact on their day-to-day life and choice on their medication regime allows a tailored approach, which can facilitate an improvement in individual quality of life. This positive approach, inclusive for all individuals irrespective of their capacity and capability, is summarised in Figure 1.
Figure 1. Principles of comprehensive geriatric assessment (CGA). CGA is an evidence-based multidimensional and interdisciplinary assessment of medical, psychological, and functional capabilities aimed at developing an integrated plan for treatment and care. CGA is associated with favourable clinical and health care outcomes. The core principles of CGA include comprehensive history taking and multidisciplinary led assessment, culminating in goals for current and future management. They encompass the 5 tenets of age-friendly care: 1. what matters most to the patient, 2. multi-complexity management, 3. medication management, 4. mentation, and 5. mobility. These principles can be applied across any health and social care setting and have been shown to be highly effective in the management of older people living with frailty and multi-morbidity. The process is iterative and the key to its success is timely review and coordination so that the care plan generated from a CGA remains responsive to the patient’s needs .
The entry is from 10.3390/geriatrics5040085
- Fabbri, E.; An, Y.; Zoli, M.; Simonsick, E.M.; Guralnik, J.M.; Bandinelli, S. Aging and the burden of multimorbidity: Associations with inflammatory and anabolic hormonal biomarkers. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2015, 70, 63–70.
- Barnett, K.; Mercer, S.W.; Norbury, M.; Watt, G.; Wyke, S.; Guthrie, B. Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study. Lancet 2012, 380, 37–43.
- The National Institute for Health and Care Excellence (NICE): Multimorbidity: Clinical Assessment and Management. 2016. Available online: (accessed on 27 October 2020).
- Aiden, H. Multimorbidity: Understanding the Challenge. 2018. Available online: (accessed on 27 October 2020).
- Fortin, M.; Lapointe, L.; Hudon, C.; Vanasse, A.; Ntetu, A.L.; Maltais, D. Multimorbidity and quality of life in primary care: A systematic review. Health Qual. Life Outcomes 2004, 2, 51.
- Payne, R.A.; Abel, G.A.; Guthrie, B.; Mercer, S.W. The effect of physical multimorbidity, mental health conditions and socioeconomic deprivation on unplanned admissions to hospital: A retrospective cohort study. Cmaj 2013, 185, E221–E228.
- Calderón-Larrañaga, A.; Poblador-Plou, B.; González-Rubio, F.; Gimeno-Feliu, L.A.; Abad-Díez, J.M.; Prados-Torres, A. Multimorbidity, polypharmacy, referrals, and adverse drug events: Are we doing things well? Br. J. Gen. Pract. 2012, 62, e821–e826.
- Marengoni, A.; Angleman, S.; Melis, R.; Mangialasche, F.; Karp, A.; Garmen, A. Aging with multimorbidity: A systematic review of the literature. Ageing Res. Rev. 2011, 10, 430–439.
- Nunes, B.P.; Flores, T.R.; Mielke, G.I.; Thume, E.; Facchini, L.A. Multimorbidity and mortality in older adults: A systematic review and meta-analysis. Arch. Gerontol. Geriatr. 2016, 67, 130–138.
- Vos, T.; Barber, R.M.; Bell, B.; Bertozzi-Villa, A.; Biryukov, S.; Bolliger, I. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015, 386, 743–800.
- Garin, N.; Koyanagi, A.; Chatterji, S.; Tyrovolas, S.; Olaya, B.; Leonardi, M. Global Multimorbidity Patterns: A Cross-Sectional, Population-Based, Multi-Country Study. J. Gerontol. Ser. A Biomed. Sci. Med. Sci. 2015, 71, 205–214.
- Afshar, S.; Roderick, P.J.; Kowal, P.; Dimitrov, B.D.; Hill, A.G. Multimorbidity and the inequalities of global ageing: A cross-sectional study of 28 countries using the World Health Surveys. BMC Public Health 2015, 15, 776.
- Prados-Torres, A.; Poblador-Plou, B.; Calderón-Larrañaga, A.; Gimeno-Feliu, L.A.; González-Rubio, F.; Poncel-Falcó, A. Multimorbidity patterns in primary care: Interactions among chronic diseases using factor analysis. PLoS ONE 2012, 7, e32190.
- Zimmet, P.; Alberti, K.; Shaw, J. International Diabetes Federation: The IDF consensus worldwide definition of the metabolic syndrome. Diabetes Voice 2005, 50, 31–33.
- Sattar, N.; Gaw, A.; Scherbakova, O.; Ford, I.; O’Reilly, D.S.J.; Haffner, S.M. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation 2003, 108, 414–419.
- Hu, G.; Qiao, Q.; Tuomilehto, J.; Balkau, B.; Borch-Johnsen, K.; Pyorala, K. Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch. Intern. Med. 2004, 164, 1066–1076.
- Schubert, C.C.; Boustani, M.; Callahan, C.M.; Perkins, A.J.; Carney, C.P.; Fox, C. Comorbidity profile of dementia patients in primary care: Are they sicker? J. Am. Geriatr. Soc. 2006, 54, 104–109.
- Chamberlain, A.M.; Rutten, L.J.F.; Jacobson, D.J.; Fan, C.; Wilson, P.M.; Rocca, W.A. Multimorbidity, functional limitations, and outcomes: Interactions in a population-based cohort of older adults. J. Comorb. 2019, 9.
- Guthrie, B.; Payne, K.; Alderson, P.; McMurdo, M.E.; Mercer, S.W. Adapting clinical guidelines to take account of multimorbidity. BMJ 2012, 345, e6341.
- Tinetti, M.E.; Esterson, J.; Ferris, R.; Posner, P.; Blaum, C.S. Patient Priority-Directed Decision Making and Care for Older Adults with Multiple Chronic Conditions. Clin. Geriatr. Med. 2016, 32, 261–275.
- Masoudi, F.A.; Havranek, E.P.; Wolfe, P.; Gross, C.P.; Rathore, S.S.; Steiner, J.F. Most hospitalized older persons do not meet the enrollment criteria for clinical trials in heart failure. Am. Heart J. 2003, 146, 250–257.
- Travers, J.; Marsh, S.; Caldwell, B.; Williams, M.; Aldington, S.; Weatherall, M. External validity of randomized controlled trials in COPD. Respir. Med. 2007, 101, 1313–1320.
- Saunders, C.; Byrne, C.D.; Guthrie, B.; Lindsay, R.; McKnight, J.; Philip, S. External validity of randomized controlled trials of glycaemic control and vascular disease: How representative are participants? Diabetic Med. 2013, 30, 300–308.
- Boyd, C.M.; Vollenweider, D.; Puhan, M.A. Informing evidence-based decision-making for patients with comorbidity: Availability of necessary information in clinical trials for chronic diseases. PLoS ONE 2012, 7, e41601.
- Jadad, A.R.; To, M.J.; Emara, M.; Jones, J. Consideration of multiple chronic diseases in randomized controlled trials. JAMA 2011, 306, 2670–2672.
- Kuchel, G.A. Inclusion of Older Adults in Research: Ensuring Relevance, Feasibility, and Rigor. J. Am. Geriatr. Soc. 2019, 67, 203–204.
- Hughes, L.D.; McMurdo, M.E.; Guthrie, B. Guidelines for people not for diseases: The challenges of applying UK clinical guidelines to people with multimorbidity. Age Ageing 2013, 42, 62–69.
- Vetrano, D.L.; Palmer, K.; Marengoni, A.; Marzetti, E.; Lattanzio, F.; Roller-Wirnsberger, R. Frailty and multimorbidity: A systematic review and meta-analysis. J. Gerontol. Ser. A 2019, 74, 659–666.
- Duerden, M.A.T.; Payne, R. Polypharmacy and Medicines Optimisation: Making it Safe and Sound; The King’s Fund: London, UK, 2013.
- Lavan, A.H.; Gallagher, P.F.; O’Mahony, D. Methods to reduce prescribing errors in elderly patients with multimorbidity. Clin. Interv. Aging 2016, 11, 857–866.
- Payne, R.A.; Avery, A.J.; Duerden, M.; Saunders, C.L.; Simpson, C.R.; Abel, G.A. Prevalence of polypharmacy in a Scottish primary care population. Eur. J. Clin. Pharmacol. 2014, 70, 575–581.
- Betteridge, T.; Frampton, C.; Jardine, D. Polypharmacy–we make it worse! A cross-sectional study from an acute admissions unit. Intern. Med. J. 2012, 42, 208–211.
- Viktil, K.K.; Blix, H.S.; Eek, A.K.; Davies, M.N.; Moger, T.A.; Reikvam, A. How are drug regimen changes during hospitalisation handled after discharge: A cohort study. BMJ Open 2012, 2, e001461.
- The National Institute for Health and Care Excellence (NICE): Multimorbidity and polypharmacy. 2019. Available online: (accessed on 27 October 2020).
- Routledge, P.A.; O’Mahony, M.S.; Woodhouse, K.W. Adverse drug reactions in elderly patients. Br. J. Clin. Pharm. 2004, 57, 121–126.
- Pirmohamed, M.; James, S.; Meakin, S.; Green, C.; Scott, A.K.; Walley, T.J. Adverse drug reactions as cause of admission to hospital: Prospective analysis of 18 820 patients. BMJ 2004, 329, 15–19.
- Davies, E.C.; Green, C.F.; Taylor, S.; Williamson, P.R.; Mottram, D.R.; Pirmohamed, M. Adverse drug reactions in hospital in-patients: A prospective analysis of 3695 patient-episodes. PLoS ONE 2009, 4, e4439.
- Farmer, C.; Fenu, E.; O’Flynn, N.; Guthrie, B. Clinical assessment and management of multimorbidity: Summary of NICE guidance. BMJ 2016, 354, i4843.
- Muth, C.; Blom, J.W.; Smith, S.M.; Johnell, K.; Gonzalez-Gonzalez, A.I.; Nguyen, T.S. Evidence supporting the best clinical management of patients with multimorbidity and polypharmacy: A systematic guideline review and expert consensus. J. Intern. Med. 2019, 285, 272–288.
- Yarnall, A.J.; Sayer, A.A.; Clegg, A.; Rockwood, K.; Parker, S.; Hindle, J.V. New horizons in multimorbidity in older adults. Age Ageing 2017, 46, 882–888.
- Cullinan, S.; Raae, H.C.; Byrne, S.; O’Mahony, D.; Kearney, P.; Sahm, L. Challenges of deprescribing in the multimorbid patient. Eur. J. Hosp. Pharm. 2017, 24, 43–46.
- Fulmer, T.; Mate, K.S.; Berman, A. The Age-Friendly Health System Imperative. J. Am. Geriatr. Soc. 2018, 66, 22–24.
- Tinetti, M.; Dindo, L.; Smith, C.D.; Blaum, C.; Costello, D.; Ouellet, G. Challenges and strategies in patients’ health priorities-aligned decision-making for older adults with multiple chronic conditions. PLoS ONE 2019, 14, e0218249.
- Newell, S.; Jordan, Z. The patient experience of patient-centered communication with nurses in the hospital setting: A qualitative systematic review protocol. JBI Database Syst. Rev. Implement. Rep. 2015, 13, 76–87.
- Hanlon, J.T.; Schmader, K.E. The medication appropriateness index at 20: Where it started, where it has been, and where it may be going. Drugs Aging 2013, 30, 893–900.
- Lewis, T. Using the NO TEARS tool for medication review. BMJ 2004, 329, 434.
- O’Mahony, D.; O’Sullivan, D.; Byrne, S.; O’Connor, M.N.; Ryan, C.; Gallagher, P. STOPP/START criteria for potentially inappropriate prescribing in older people: Version 2. Age Ageing 2015, 44, 213–218.
- Avery, A.J.; Rodgers, S.; Cantrill, J.A.; Armstrong, S.; Cresswell, K.; Eden, M. A pharmacist-led information technology intervention for medication errors (PINCER): A multicentre, cluster randomised, controlled trial and cost-effectiveness analysis. Lancet 2012, 379, 1310–1319.
- Thompson, W.; Farrell, B. Deprescribing: What is it and what does the evidence tell us? Can. J. Hosp. Pharm. 2013, 6, 201–202.
- Sergi, G.; De, R.M.; Sarti, S.; Manzato, E. Polypharmacy in the elderly: Can comprehensive geriatric assessment reduce inappropriate medication use? Drugs Aging 2011, 28, 509–518.
- O’Mahony, M.S.; Parbhoo, A. Deprescribing in older people. Br. J. Hosp. Med. (Lond.) 2020, 81, 1–9.
- Rudolph, J.L.; Salow, M.J.; Angelini, M.C.; McGlinchey, R.E. The anticholinergic risk scale and anticholinergic adverse effects in older persons. Arch. Intern. Med. 2008, 168, 508–513.
- Woodford, H.J.; Fisher, J. New horizons in deprescribing for older people. Age Ageing 2019, 48, 768–775.
- Ouellet, G.M.; Ouellet, J.A.; Tinetti, M.E. Principle of rational prescribing and deprescribing in older adults with multiple chronic conditions. Ther. Adv. Drug Saf. 2018, 9, 639–652.
- Anderson, K.; Freeman, C.; Foster, M.; Scott, I. GP-Led Deprescribing in Community-Living Older Australians: An Exploratory Controlled Trial. J. Am. Geriatr. Soc. 2020, 68, 403–410.
- Garfinkel, D. Poly-de-prescribing to treat polypharmacy: Efficacy and safety. Ther. Adv. Drug Saf. 2018, 9, 25–43.
- Potter, K.; Flicker, L.; Page, A.; Etherton-Beer, C. Deprescribing in Frail Older People: A Randomised Controlled Trial. PLoS ONE 2016, 11, e0149984.
- Bezreh, T.; Laws, M.B.; Taubin, T.; Rifkin, D.E.; Wilson, I.B. Challenges to physician-patient communication about medication use: A window into the skeptical patient’s world. Patient Prefer. Adher. 2012, 6, 11–18.
- Farrell, B.; Mangin, D. Deprescribing Is an Essential Part of Good Prescribing. Am. Fam. Phys. 2019, 99, 7–9.
- Damarell, R.A.; Morgan, D.D.; Tieman, J.J. General practitioner strategies for managing patients with multimorbidity: A systematic review and thematic synthesis of qualitative research. Bmc Fam. Pract. 2020, 21, 131.
- Fraser, A.; Ross, S.; Aggarwal, P. Walk in another’s shoes: GP-consultant exchange schemes. BMJ 2018, 363, 2.
- Vermunt, N.; Elwyn, G.; Westert, G.; Harmsen, M.; Olde, R.M.; Meinders, M. Goal setting is insufficiently recognised as an essential part of shared decision-making in the complex care of older patients: A framework analysis. BMC Fam. Pract. 2019, 20, 76.
- Lea, S.C.; Watts, K.L.; Davis, N.A.; Panayiotou, B.; Bankart, M.J.; Arora, A. The potential clinical benefits of medicines optimisation through comprehensive geriatric assessment, carried out by secondary care geriatricians, in a general practice care setting in North Staffordshire, UK: A feasibility study. BMJ Open 2017, 7, e015278.
- Laursen, J.; Kornholt, J.; Betzer, C.; Petersen, T.S.; Christensen, M.B. General Practitioners’ Barriers toward Medication Reviews in Polymedicated Multimorbid Patients: How can a Focus on the Pharmacotherapy in an Outpatient Clinic Support GPs? Health Serv. Res. Manag. Epidemiol. 2018, 5.
- Ellis, G.; Sevdalis, N. Understanding and improving multidisciplinary team working in geriatric medicine. Age Ageing 2019, 48, 498–505.
- Woolford, S.J.; Sohan, O.; Dennison, E.M.; Cooper, C.; Patel, H.P. Approaches to the diagnosis and prevention of frailty. Aging Clin. Exp. Res. 2020, 32, 1629–1637.
- Please check and comment entries here.