We developed the LPPSq questionnaire to measure patient satisfaction with perioperative care, of which anaesthesia care is an important element. In this study, information provision and the relationship between staff and patient were the major determinants of patient satisfaction.
BackgroundUrinary tract infections (UTI) are common among the oldest old and may lead to a few days of illness, delirium or even to death. We studied the incidence and predictive factors of UTI among the oldest old in the general population.MethodsThe Leiden 85-plus Study is a population-based prospective follow-up study of 86-year-old subjects in Leiden, The Netherlands. Information on the diagnosis of UTI was obtained annually during four years of follow-up from the medical records and interviews of treating physicians. A total of 157 men and 322 women aged 86 years participated in the study. Possible predictive factors were collected at baseline, including history of UTI between the age of 85 and 86 years, aspects of functioning (cognitive impairment (Mini-Mental State Examination (MMSE) < 19), presence of depressive symptoms (Geriatric Depression Scale (GDS) > 4), disability in activities of daily living (ADL)), and co-morbidities.ResultsThe incidence of UTI from age 86 through 90 years was 11.2 (95% confidence interval (CI) 9.4, 13.1) per 100 person-years at risk. Multivariate analysis showed that history of UTI between the age of 85 and 86 years (hazard ratio (HR) 3.4 (95% CI 2.4, 5.0)), impaired cognitive function (HR 1.9 (95% CI 1.3, 2.9)), disability in daily living (HR 1.7 (95% CI 1.1, 2.5)) and urine incontinence (HR 1.5 (95% CI 1.0, 2.1)) were independent predictors of an increased incidence of UTI from age 86 onwards.ConclusionsWithin the oldest old, a history of UTI between the age of 85 and 86 years, cognitive impairment, ADL disability and urine incontinence are independent predictors of developing UTI. These predictive factors could be used to target preventive measures to the oldest old at high risk of UTI.
BackgroundAlthough dementia at the end of life is increasingly being studied, we lack prospective observational data on dying patients. In this study symptoms were observed in patients with dementia in the last days of life.MethodsWhen the elderly care physicians in two Dutch nursing homes expected death within one week, symptoms of (dis)comfort, pain and suffering were observed twice daily. For this the Pain Assessment in Advanced Dementia (PAINAD; range 0–10), Discomfort Scale-Dementia of Alzheimer Type (DS-DAT; range 0–27), End-Of-Life in Dementia-Comfort Assessment in Dying (EOLD-CAD; range 14–42) and an adapted version of the Mini-Suffering State Examination (MSSE; range 0–9), were used. Information on care, medical treatment and treatment decisions were also collected.ResultsTwenty-four participants (median age 91 years; 23 females), were observed several times (mean of 4.3 observations (SD 2.6)), until they died. Most participants (n = 15) died from dehydration/cachexia and passed away quietly (n = 22). The mean PAINAD score was 1.0 (SD 1.7), DS-DAT 7.0 (SD 2.1), EOLD-CAD 35.1 (SD 1.7), and MSSE 2.0 (SD 1.7). All participants received morphine, six received antibiotics, and rehydration was prescribed once.ConclusionIn these patients with dementia and expected death, a low symptom burden was observed with validated instruments, also in dehydrated patients without aggressive treatment. A good death is possible, but might be enhanced if the symptom burden is regularly assessed with validated instruments. The use of observation tools may have influenced the physicians to make treatment decisions.
Background: To determine which characteristics are associated with quality of life (QOL) in residents with moderate to very severe dementia in long-term care facilities (LTCFs). Material and Methods: This was a cross-sectional analysis of a cluster randomized controlled study in 12 Dutch LTCFs that enrolled 288 residents, with moderate to severe dementia assessed with the Reisberg Global Deterioration Scale (Reisberg GDS) and QOL with the QUALIDEM. Characteristics that were hypothesized to be associated with the six domains of QOL (applicable to very severe dementia) included demographic variables, activities of daily living (Katz ADL), cognitive performance (Cognitive Performance Scale; CPS), pain (Pain Assessment Checklist for Seniors with Limited Ability to Communicate; PACSLAC-D), neuropsychiatric symptoms (Neuropsychiatric Inventory-Nursing Home Version; NPI-NH) and comorbidities. Results: Multivariate logistic regression modelling showed associations with age in the domain Social isolation [odds ratio, OR, 0.95 (95% confidence interval, CI, 0.91-0.99)], ADL level in the domain Positive affect [OR 0.89 (95% CI 0.83-0.95)] and the domain Social relations [OR 0.87 (95% CI 0.81-0.93)], severity of dementia in the domain Social relations [OR 0.28 (95% CI 0.12-0.62)] and in the domain Social isolation [OR 2.10 (95% CI 1.17-3.78)], psychiatric disorders in the domain Positive affect [OR 0.39 (95% CI 0.17-0.87)] and pulmonary diseases in the domain Negative affect [OR 0.14 (95% CI 0.03-0.61)] of the QUALIDEM. Neuropsychiatric symptoms were independently associated with all six domains of the QUALIDEM [OR 0.93 (95% CI 0.90-0.96) to OR 0.97 (95% CI 0.95-0.99)]. Pain was associated with the domains Care relationship [OR 0.92 (95% CI 0.84-1.00)] and Negative affect [OR 0.92 (95% CI 0.85-1.00)]. Conclusion: QOL in dementia is independently associated with age, ADL, dementia severity, pain, psychiatric disorders, pulmonary diseases and neuropsychiatric symptoms. It is possible to detect persons with dementia at risk for a lower QOL. This information is important for developing personalized interventions to improve QOL in persons with dementia in LTCFs.
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