Potentially preventable complications of urinary tract infections, pressure areas, pneumonia, and delirium in hospitalised dementia patients: retrospective cohort study.

OBJECTIVES: To identify rates of potentially preventable complications for dementia patients compared with non-dementia patients.
DESIGN: Retrospective cohort design using hospital discharge data for dementia patients, case matched on sex, age, comorbidity and surgical status on a 1 : 4 ratio to non-dementia patients.
SETTING: Public hospital discharge data from the state of New South Wales, Australia for 2006/2007. PARTICIPANTS: 426 276 overnight hospital episodes for patients aged 50 and above (census sample). MAIN OUTCOME MEASURES: Rates of preventable complications, with episode-level risk adjustment for 12 complications that are known to be sensitive to nursing care.
RESULTS: Controlling for age and comorbidities, surgical dementia patients had higher rates than non-dementia patients in seven of the 12 complications: urinary tract infections, pressure ulcers, delirium, pneumonia, physiological and metabolic derangement (all at p<0.0001), sepsis and failure to rescue (at p<0.05). Medical dementia patients also had higher rates of these complications than did non-dementia patients. The highest rates and highest relative risk for dementia patients compared with non-dementia patients, in both medical and surgical populations, were found in four common complications: urinary tract infections, pressure areas, pneumonia and delirium.
CONCLUSIONS: Compared with non-dementia patients, hospitalised dementia patients have higher rates of potentially preventable complications that might be responsive to nursing interventions.

Dementia patients are vulnerable to complications of hospitalisation, which contributes to increased length of stay, mortality and higher rates of transfer to residential care.

The extent to which specific potentially preventable complications occur for dementia patients has not been elucidated.

This article establishes rates of preventable complications for 12 complications that are known to be sensitive to nursing care.

Hospitalised dementia patients have much higher rates of potentially preventable complications, particularly urinary tract infections, pressure ulcers, pneumonia and delirium, than do hospitalised non-dementia patients.

These complications are known to be responsive to nursing care.

Further exploration of the role of nursing in preventing these complications in dementia patients is warranted.

Study strengths include: an internationally established coding rule for patient-level risk adjustment; a linked administrative data approach which captures any person with documented dementia in a hospital episode over a 2-year period; an extremely large and representative sample, and a broad age range including patients aged 50 and above.

The study is limited to one Australian jurisdiction (New South Wales, Australia's largest state), and has the usual limitations of hospital administrative data for the documentation of diagnoses.

Introduction

Rates of adverse events remain a steadfast indicator of quality and safety for public hospitals.1 Older people are known to be particularly vulnerable to complications, with a Canadian study finding that 14% of older adults experienced an adverse event while in hospital.2 In an Australian study, complications such as urinary tract and respiratory infections, altered mental state, electrolyte disorders and pressure ulcers were more common in patients aged over 70 years.3 Factors that might contribute to this include multiple chronic diseases, longer hospitalisations,4 5 more frequent use of invasive devices, such as urinary catheters,6 more complicated diseases, less physiological reserve, an increased risk of falls and fractures,7 and atypical presentations of illness.8

There has been limited research into complications in dementia patients in hospital,5 but a systematic review found that dementia patients are older, require more hours of nursing care, have longer hospital stays and are more at risk of delayed discharge and functional decline during admission.6 To date, most study cohorts have been recruited from medical wards.6 In a Taiwanese retrospective cohort study, Hu et al9 found that dementia patients who underwent surgery had a significantly higher overall postoperative complication rate and also a higher incidence of postoperative complications that were less likely to be identified in their initial stage. These included acute renal failure, pneumonia, septicaemia, stroke and urinary tract infection. These potentially preventable complications have been demonstrated to be sensitive to nursing—that is, associated with modifiable characteristics of the nursing work environment, such as registered nurse skill mix and nurse burnout—in both Europe10 and America.11 More information regarding the rates of potentially preventable complications, which may be sensitive to nursing care for hospitalised dementia patients to confirm these findings internationally, would be useful for decisions related to resource allocation in healthcare.

Methods

This study was nested in the Australian Hospital Dementia Services Project12 using New South Wales (NSW) hospital discharge data from the 2006/2007 financial year for all public hospital overnight discharges (less than 90 days’ length of stay) for episodes of care for people aged 50 and over. An episode of hospital care may be defined as a period in a particular hospital of a particular care type (eg, acute or rehabilitation) in a particular hospital. A hospital stay is the period from admission into the hospital system to discharge from the system, or death in the hospital (eg, may include multiple care types and/or hospitals).

Consequently, a stay in hospital may include several episodes of care: on average, there were 1.18 episodes per stay.13 Dementia patients were identified via a person identifier as ever having dementia documented as a principal or additional diagnosis in any hospital stay over a 2-year period, offering a high capture rate and minimising selection bias.13 NSW is Australia's most populous state with a diverse population from metropolitan to remote areas and a range of hospital-based and/or community-based dementia services. In 2007, 942 100 people or 13.7% of NSW residents were aged 65 years and over.14 Consequently, NSW provides both system and population diversity.

Dementia patients were case matched on age group, sex, surgical status and Charlson comorbidities on a ratio of one dementia patient to four non-dementia patients. The Charlson index is widely used to limit the confounding influence of comorbidities on the prediction of 1-year mortality.15 The index accounts for diabetes, hemiplegia or paraplegia, any cancer, HIV/AIDS and major cardiovascular, renal, rheumatic, peptic ulcer and liver diseases and its predictive validity in older people is comparable to that of a self-report.16 Dementia is usually also included in Charlson indexing but was excluded for the purpose of comorbidity matching in this study. Where there were insufficient controls to achieve four non-dementia patients for each dementia patient, ‘bootstrapping’ was utilised, where matching controls were randomised and then used more than once. This maximises the use of the existing population of cases and controls and maintains the benefits at a ratio of 1 : 4.17 This procedure was primarily necessary in the 85+ age group.

Using internationally valid patient-level and risk-adjusted ‘coding rules for adverse outcomes’18–20 (see table 1), 12 potentially preventable complications sensitive to nursing care were examined. These coding rules have been used in Australia, New Zealand, Belgium and the USA over the last 20 years and also been translated from the International Classification of Diseases, Ninth Edition (ICD-9) to ICD-10.19 Patients are grouped according to medical or surgical status using the Australian Refined Diagnosis Related Groups (AR-DRGs) V5.2 code, which incorporates the ICD, Tenth Edition, Australian Modification (ICD-10-AM) 5th Edition,21 where surgery is inclusive of ‘other’ procedures such as gastroscopy and intubation. The coding rules utilise administrative data to exclude patients who are at risk of developing a particular condition due to their underlying aetiology. In this way, the episodes of complications examined are less likely to have occurred from patient risk, and more likely to be related to hospitalisation. For example, patients who have paralysis as a primary or secondary diagnosis are less mobile than other patients and are therefore excluded from the complication ‘pressure ulcer’; patients with a primary or secondary diagnosis of any kidney or bladder condition are excluded from the complication ‘urinary tract infection’. Consequently, each complication has a different sample size, based on exclusions and inclusions. Surgical and medical cohorts are analysed separately.

Table 1

Coding rules for adverse outcomes (only 4 of the 12 complications shown for readability)

Complication	Inclusion criteria Any secondary diagnosis of	Exclusion criteria Any primary diagnosis or major diagnostic category (MDC) of
Urinary tract infection	Urinary tract infection, non-specified site Infection and inflammatory reaction due to implant, prosthesis and graft in urinary system	Urinary tract infection, non-specified site Infection and inflammatory reaction due to implant, prosthesis and graft in urinary system Streptococcal sepsis, other sepsis Bacterial infection, unspecified Kidney and urinary tract (MDC) Female reproductive system (MDC) Pregnancy, childbirth and puerperium (MDC) Newborn and other neonates (perinatal period; MDC) Any primary or secondary diagnosis of: Pregnancy Abortion
Pressure ulcer	Decubitus ulcer and pressure area	Decubitus ulcer and pressure area Skin, subcutaneous tissue and breast (MDC) Any primary or secondary diagnosis of: Hemi/quadriplegia
Pneumonia	Pneumonitis due to solids and liquids Post procedure respiratory disorder, unspecified Other post procedural respiratory disorders Hypostatic pneumonia, unspecified Pneumonia, haemophilus influenza and bacterial pneumonia Other bacterial pneumonia Bacterial pneumonia, unspecified Bronchopneumonia, unspecified Other pneumonia, organism unspecified Pneumonia, unspecified	Viral pneumonia, not elsewhere classified Pneumonia due to Streptococcus pneumoniae Bacterial pneumonia due to flu Other bacterial pneumonia Bacterial pneumonia, unspecified Pneumonia due to Mycoplasma pneumoniae Due to other infectious organisms In diseases classified elsewhere Bronchopneumonia, unspecified Other pneumonia, organism unspecified Pneumonia, unspecified Influenza Influenza, virus not identified Pneumonitis due to food and vomit Postprocedural respiratory disorder, unspecified Other postprocedural respiratory disorders Hypostatic pneumonia, unspecified Respiratory system (MDC)Any primary or secondary diagnosis of: Immunodeficiency Systemic autoimmune disease, unspecified HIV
Delirium	Coma, unspecified Stupor, semicoma Delirium, unspecified Other specified dissociative (conversion) disorders Adjustment disorders Reaction to severe stress, unspecified	Coma, unspecified Stupor, semi-coma Delirium, unspecified Other specified dissociative (conversion) disorders Adjustment disorders Reaction to severe stress, unspecified Nervous system (MDC) Mental diseases and disorders (MDC) Alcohol/drug use or induced mental disorders (MDC)

MDC, major diagnostic category.

The statistical package SAS EG V.9.2 was used. Pearson's χ2 test of independence demonstrated the magnitude of association and goodness-of-fit of the relative risk (RR) between dementia and non-dementia patients, where RR was calculated using the residuals adjusted for sample size and the 1 : 4 case-to-control ratio. Missing data were rare in the variables used in this analysis. Diagnosis information was missing in less than 0.2% and sex in less than 0.001% of records for 2006–2007; AR-DRGs data were always present. The dataset was extracted from the source administrative data based on age (50+), and therefore patient age is never missing in this analysis. Owing to the very low level of missing data, records with missing information were excluded from the analysis where relevant.

Results

There were 44 488 (10.44%) hospital episodes for dementia patients in NSW over the period 2006–2007, compared with 381 788 for non-dementia patients. Surgery was much less common in dementia patients (12%) than in non-dementia patients (27%). The average surgical dementia patient age was 81 with a Charlson index of 1.04 (indicating that most dementia patients had one comorbidity in addition to dementia), whereas the average surgical non-dementia patient age was 68 with a lower Charlson index of 0.89. Dementia patients had more hospital episodes with potentially preventable complications than did non-dementia patients, and this difference was higher in the surgical population.

Table 2 shows the results for medical and surgical patients. Medical dementia patients (ie, those who did not undergo surgery) had higher rates of delirium (RR 2.83), urinary tract infections (RR 1.79), pressure ulcers (RR 1.61), pneumonia (RR 1.37; all at p<0.0001), as well as sepsis (RR 1.34) and failure to rescue (death following sepsis, shock, gastrointestinal bleeding, deep vein thrombosis or pneumonia; RR 1.24; at p<0.05), compared with non-dementia patients. There was no significant difference between medical dementia and non-dementia patients for shock or gastrointestinal bleeding. Deep vein thrombosis/pulmonary embolism was the only complication found to be significantly less common in dementia patients (RR 0.82; at p<0.05).

Table 2

Population, samples, percentage rates and relative risks of potentially preventable complications in the over 50 age group from NSW public hospital episode data 2006–2007

Preventable complication	Patient population	Percentage of patient episodes with the complication†				Relative risk of dementia patients with the complication compared with non-dementia patients‡
		Medical		Surgical		Medical		Surgical
		Sample	Per cent	Sample	Per cent	Sample	RR (CI)	Sample	RR (CI)
Urinary tract infection	Dementia	36 075	13.4	4854	14.7	58 223§	1.79** (1.70 to 1.90)	7680	2.88** (2.45 to 3.40)
	Non-dementia	146 813	7.9	18 986	5.6
	All >50	182 888	9.0	23 840	7.4
Pressure ulcer	Dementia	25 832	5.9	4007	7.3	38 480	1.61** (1.46 to 1.77)	5904	1.84** (1.46 to 1.31)
	Non-dementia	89 074	3.8	13 493	4.1
	All >50	114 906	4.2	17 500	4.9
Pneumonia	Dementia	36 875	4.8	5106	6.8	59 523	1.37** (1.26 to 1.48)	8184	1.66** (1.36 to 2.02)
	Non-dementia	150 118	3.5	20 497	4.2
	All >50	186 993	3.8	25 603	4.7
Deep vein thrombosis	Dementia	39 104	0.8	5154	1.4	62 459	0.82* (0.69 to 0.97)	8245	1.14 (0.78 to 1.68)
	Non-dementia	155 882	1.0	20 609	1.2
	All >50	194 986	0.9	25 763	1.2
Gastrointestinal bleeding	Dementia	30 035	1.1	2702	3.8	50 246	1.01 (0.85 to 1.19)	5405	1.68* (1.22 to 2.31)
	Non-dementia	131 088	1.1	16 215	2.3
	All >50	161 123	1.1	18 917	2.5
Sepsis	dementia	25 365	1.9	4469	10.6	39 218	1.34* (1.15 to 1.57)	6595	1.25 (0.96 to 1.64)
	Non-dementia	94 631	1.4	15 100	3.1
	All >50	119 996	1.6	19 569	4.9
Shock and cardiac arrest	Dementia	31 021	0.6	2793	1.3	51 256	1.09 (0.86 to 1.37)	5521	0.93 (0.58 to 1.50)
	Non-dementia	132 194	0.5	16 431	1.3
	All >50	163 215	0.6	19 224	1.3
Delirium	Dementia	37 933	4.0	5155	4.4	61 307	2.83** (2.54 to 3.15)	8251	3.10** (2.31 to 4.15)
	Non-dementia	154 805	1.5	20 636	1.5
	All >50	192 738	2.0	25 791	2.1
Surgical wound infection§	Dementia	–	–	5158	0.1	–	–	8253	1.12 (0.48 to 2.63)
	Non-dementia	–	–	20 633	0.0
	All >50	–	–	25 791	0.0
Pulmonary failure§	Dementia	–	–	2870	2.0	–	–	5628	0.98 (0.81 to 1.19)
	Non-dementia	–	–	16 660	1.7
	All >50	–	–	19 530	1.7
Physiological/metabolic derangement§,¶	Dementia	–	–	2881	11.5	–	–	5644	1.87** (1.55 to 2.25)
	Non-dementia	–	–	16 699	6.5
	All >50	–	–	19 580	7.3
Failure to rescue††	Dementia	2597	28.2	561	22.3	3745	1.24* (1.02 to 1.33)	778	0.86 (0.61 to 1.20)
	Non-dementia	8336	24.1	1647	25.0
	All >50	10933	25.1	2208	24.3

*p<0.5.

**p<0.0001.

†Excluding precipitating pre-existing conditions for each complication.

‡Weighted 80–20% to compensate for 1 : 4 case–control ratio.

§These complications are only measured in a surgical population.

¶Physiological and/or metabolic derangement are serous fluid and electrolyte imbalances.

††Failure to rescue is death following sepsis, shock, gastrointestinal bleeding or pneumonia.

NSW, New South Wales; RR, relative risk.

Surgical dementia patients had higher rates of delirium (RR 3.10), urinary tract infections (RR 2.88), pressure ulcers (RR 1.84), pneumonia (RR 1.66) and physical or metabolic derangement (serous fluid and/or electrolyte imbalance; RR 1.87; all at p<0.0001), as well as gastrointestinal bleeding (RR 1.68; p<0.05), compared with non-dementia patients. There was no significant difference in the rates of sepsis, shock, surgical wound infection, pulmonary failure or failure to rescue in dementia patients compared with non-dementia patients.

Compared with medical dementia patients, surgical dementia patients had significantly higher RRs (at p<0.05) of urinary tract infections (RR 1.09), pressure ulcers (RR 1.24) and pneumonia (RR 1.42), but not of delirium. In non-dementia patients, medical patients were more likely than surgical patients to get a urinary tract infection (RR 0.71; at p<0.0001); there were no other significant differences. Dementia was consequently a more informative indicator of risk of preventable complications than was surgery for these four common complications. Separately, while noting that dementia patients were much less likely than non-dementia patients to undergo surgery, the surgical procedures carried out showed more risk of preventable complications for dementia patients than for non-dementia patients.

The strongest findings of the study (at p<0.0001), with the greatest differences in rates of dementia and non-dementia patients, for surgical and medical cohorts, were related to four common complications: urinary tract infections, pressure ulcers, pneumonia and delirium. Fourteen per cent of surgical dementia patients suffered from urinary tract infections while in hospital, which was 2.8 times higher than for surgical non-dementia patients. Seven per cent suffered from pressure ulcer, 1.84 times higher than for non-dementia patients. Seven per cent also suffered from pneumonia, 1.66 times the rate for non-dementia patients and 5% suffered delirium, which was 3.1 times higher than for non-dementia patients. These infections and complications were not likely to be related to the person's admitted diagnosis; thus, they were more likely to be nosocomial or hospital acquired and therefore potentially preventable.

Discussion

These findings demonstrate that hospitalised dementia patients have higher rates of complications than hospitalised non-dementia patients, controlling for current comorbidities, and that these rates of complications are significantly higher in dementia patients who have surgery. These findings support previous nationwide, cohort designed Taiwanese findings that dementia patients have higher rates of postoperative complications than non-dementia patients at the hospital episode level.9 The highest rates and highest RRs for dementia patients, for both medical and surgical patients, are for urinary tract infections, pressure ulcers, delirium and pneumonia. This new finding of high rates for four very common preventable complications for dementia patients offers avenues for intervention and prevention.

We note that, compared with hospitalised people who do not have dementia, those with dementia are slightly more likely to have multiepisode stays (87% vs 82%); they are much more likely to be readmitted within 3 months of discharge (45% vs 32%) and average more stays over the year (2.5 vs 1.9; calculations derived from ref. 12). Having dementia may therefore bias estimates of rates of preventable complications (primarily upwards). However, sensitivity testing, not reported here, indicated that, adjusting for sex, age and different patterns of hospital stays, all comparisons that showed significant differences in risk ratios for people with dementia in our original analyses remained significant in the adjusted analyses (and at the same p value level). The effect of dementia on the likelihood of developing avoidable complications was robust. Nevertheless, future data collection planning should directly include information about the number of episodes per stay, number of rapid readmissions and number of stays per year.

Three key design features of this new Australian study give additional credibility to the findings: (1) the comprehensive linked approach over 2 years of administrative data to better identify dementia patients,13 (2) the patient-level risk-adjustment model to better capture in-hospital complications18 and (3) the inclusion of 50-year-olds to 65-year-olds with dementia who are known to have different characteristics from other aged populations.5

Evidence is mounting for associations between poorer nursing work environments and higher rates of patient complications (see table 3) and demonstrates that, for the four key complications found for dementia patients in the present study, these complications may be modifiable. Nursing interventions, with and without direct medical personnel involvement, for preventing or mitigating these common complications involve mobility, hydration, hygiene, patient education and reassurance in a context of nursing surveillance, assessment, early intervention and advocacy. Nurses, more than any other healthcare professional, are able to recognise, interrupt, evaluate and correct healthcare errors.31 Specifically, in relation to urinary tract infections, it is argued that higher levels of engaged and educated nurses better enable sterile techniques for catheter insertion, time-consuming toileting programmes and management of hygiene and hydration.20 32 In relation to pneumonia, nurses are responsible for (or at least instrumental in) many of the necessary clinical practices, such as encouraging flu vaccination, hand washing, pain relief, mobilisation and pulmonary hygiene for reducing pneumonia.32 In relation to delirium, simple preventative measures, such as verbal reorientation, correcting sensory deficits, improving mobilisation, improving hydration, decreased use of sleeping and psychoactive medications and restraints,33 are initiated, maintained and reinforced by nurses in acute settings. In relation to pressure areas, patient positioning and skin care are the primary domain of nurses more than any other profession, and their actions in relation to hydration, nutrition, mobility and pain relief are also accepted as having a significant impact on the prevention of pressure ulcers.34 The development of complications can be set in motion by a seemingly innocuous first event (eg, a urinary tract infection can develop from dehydration, which can start with something as simple as a missed cup of morning tea). This has been termed ‘cascade iatrogenesis’ and is a helpful concept in understanding the link between unmet nursing care needs and potentially preventable complications.35 36

Table 3

Evidence of association between the four key complications and nursing work environments

Study	Sample	Location and data time frame	Characteristics of nursing work environments (independent variable)	Patient complication (dependent variable)
Cimiotti22	161 hospitals 1 571 068 patients 7076 nurses	USA 2006	Lower levels of burnt out (a) nurses	Lower rates of urinary tract infection
Needleman et al18	799 hospitals 6 million+ patients	USA 1997	Higher levels of total nurse staffing	Lower rates of urinary tract infection
Cho et al23	232 hospitals 124 204 patients	USA 1997	Higher proportions of RNs (b)	Lower rates of pneumonia
Kovner et al24	187 hospitals	USA 1990–1996	Higher RN hours per patient day	Lower rates of pneumonia
Pappas et al25	2 hospitals 3200 patients	USA 2007	Higher RN hours per patient day	Lower rates of pneumonia
Kane et al11	Systematic review 96 studies	USA 2006	Higher proportions of RN per patient day	Decreased OR of hospital-acquired pneumonia
Twigg et al26	3 hospitals 236 454 patients 150 925 nurses	Australia 2000–2004	Refined staffing model (c)	Lower rates of pneumonia Lower rates of delirium
Schubert et al27	8 hospitals 779 patients 1338 nurses	Switzerland 2003–2004	Implicit care rationing (d)	Predicted higher levels of pressure ulcers
Horn et al28	82 RACF 1376 residents	USA 1996–1997	Higher RN direct time per resident per day	Lower rates of pressure ulcers
Pekkarinen et al29	66 RACF 724 nurses	Finland 2002	Increased time unit pressure (e)	Higher rates of pressure ulcers
Hickey et al30	35 RACF Patient assessment files Staffing data	USA 1998–1999	Lower skill mix (less RNs)	Higher rates of pressure ulcers

(a) Burnt out: where workers emotionally and cognitively detach from work as a way to cope with demands.

(b) RN: registered nurse—a graduate from a University or college nursing programme who has met national licensing conditions.

(c) Refined staffing model: which developed categories of nurse staffing based on patient complexity, intervention levels, high dependency beds, emergency/elective patient mix and patient turnover.

(d) Implicit care rationing: where nurses withhold or fail to carry out necessary nursing tasks due to inadequate time, staffing level and/or skill mix.

(e) Time unit pressure: as a measure of nursing working conditions.

RACF, residential aged care facility.

These findings highlight the need to view nursing as an intervention rather than as a labour cost in terms of the nursing work environment's impact on patient outcomes. Despite hospitals spending approximately one-third of their budget on ward nursing,37 “administrative datasets have not been designed to capture a great deal of information about nurses.”32 Staffing data in Australia are limited to hospital level aggregate data for a whole year, without differentiation of types of nurses (eg, registered nurse or unlicensed personnel), or state level data by the nurse's postcode of residence. Better hospital nursing data would enable research investigating associations between nurse staffing and patient outcomes, as well as opportunities for systemic benchmarking.9 38 The USA has a more systemic approach to data collection in relation to nursing care but many of the data items are restricted to specific locations (eg, intensive care units). Recommendations have been made that the minimum datasets in America be expanded so that urinary tract infections and pneumonia are measured in all at-risk hospitalised patients.32 The present study would support this policy. We would also suggest that future acute dementia care intervention studies consider controlling for relevant nursing characteristics.

The four key complications identified here have some of the highest dollar costs for hospitals. For example, though urinary tract infections and pneumonia have relatively low per-case costs, their large volume means that they have the greatest system financial impact in Australia.3 If we want to reduce the cost and occurrence of preventable complications in hospitalised dementia patients, we need to better understand the relationships between nursing work environments and patient outcomes. In order to increase this understanding, we need better data collection strategies for quality benchmarking and research. These data collection strategies need to include (1) screening and documentation of dementia patients in hospital, (2) minimum nursing work environment characteristics, such as appropriate ratios of registered nurse staffing and skill mix and management of workload/pressure and burnout/retention, and (3) rates of the common in-hospital complications of urinary tract infections, pressure ulcers, pneumonia and delirium, and not just as secondary diagnoses.

Conclusion

Dementia patients have higher rates of potentially preventable complications while in hospital than do non-dementia patients, even when controlling for age, sex, surgery and comorbidities. The highest rates and largest differences in rates, for dementia patients compared with non-dementia patients, are seen in urinary tract infections, pneumonia, pressure ulcers and delirium. These complications have been specifically associated with aspects of nursing work environments, including staffing skill mix of registered nurses, and workload measures, such as burnout and time pressure. Modifying aspects of the nursing work environment may reduce or prevent these complications in hospitalised dementia patients (and, indeed, in other patients). Improving hospital data collection strategies for the identification of dementia patients and key nursing characteristics would enable benchmarking and research in order to improve the care, and cost of care, for this burgeoning population.