Research letters the Borgerskapet in Umeå Research Foundation, the Detlof’s Foundation, the Västerbotten County Council, the Umeå University Foundation of Medical Research, Gun and Bertil Stohne’s Foundation and the Geriatric Centre at the Umeå University Hospital. Conflicts of interest There are no conflicts of interests in this study. The Ethics Committee of the Medical Faculty of Umeå University approved the study (dnr 99–326). MICHAEL STENVALL1*, EVA ELINGE1, PETRA VON HEIDEKEN WÅGERT1, MARIA LUNDSTRÖM1, YNGVE GUSTAFSON1, LARS NYBERG1,2 1 Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, SE-901 87 Umeå, Sweden Fax: (+46) 90 13 06 23 Email: [email protected] 2 Department of Health Sciences/Physiotherapy Unit, Luleå University of Technology, Hedenbrovägen, SE-961 36 Boden, Sweden *To whom correspondence should be addressed 1. Thorngren KG, Hommel A, Norrman PO, Thorngren J, Wingstrand H. Epidemiology of femoral neck fractures. Injury 2002; 33 (Suppl 3): C1–7. 2. Fransen M, Woodward M, Norton R, Robinson E, Butler M, Campbell AJ. Excess mortality or institutionalization after hip fracture: men are at greater risk than women. J Am Geriatr Soc 2002; 50: 685–90. 3. Maggio D, Ubaldi E, Simonelli G, Cenci S, Pedone C, Cherubini A. Hip fracture in nursing homes: an Italian study on prevalence, latency, risk factors, and impact on mobility. Calcif Tissue Int 2001; 68: 337–41. 4. Leibson CL, Tosteson AN, Gabriel SE, Ransom JE, Melton LJ. Mortality, disability, and nursing home use for persons with and without hip fracture: a population-based study. J Am Geriatr Soc 2002; 50: 1644–50. 5. Norton R, Butler M, Robinson E, Lee-Joe T, Campbell AJ. Declines in physical functioning attributable to hip fracture among older people: a follow-up study of case-control participants. Disabil Rehabil 2000; 22: 345–51. 6. Hochberg MC, Williamson J, Skinner EA, Guralnik J, Kasper JD, Fried LP. The prevalence and impact of self-reported hip fracture in elderly community-dwelling women: the Women’s Health and Aging Study. Osteoporos Int 1998; 8: 385–9. 7. Forsen L, Sogaard AJ, Meyer HE, Edna T, Kopjar B. Survival after hip fracture: short- and long-term excess mortality according to age and gender. Osteoporos Int 1999; 10: 73–8. 8. Huusko TM, Karppi P, Avikainen V, Kautiainen H, Sulkava R. Randomised, clinically controlled trial of intensive geriatric rehabilitation in patients with hip fracture: subgroup analysis of patients with dementia. Br J Med 2000; 321: 1107–11. 9. Jette AM, Harris BA, Cleary PD, Campion EW. Functional recovery after hip fracture. Arch Phys Med Rehabil 1987; 68: 735–40. 10. Johnell O, Kanis JA, Oden A et al. Mortality after osteoporotic fractures. Osteoporos Int 2004; 15: 38–42. 11. von Heideken Wågert P, Rönnmark B, Rosendahl E et al. Morale in the oldest old: the Umeå 85+ study. Age Ageing 2005; 34: 249–55. 12. Folstein MF, Folstein SE, McHugh PR. ‘Mini-Mental State’. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12: 189–98. 13. Guigoz Y, Vellas B, Garry P. Mini Nutritional Assessment: a practical assessment tool for grading the nutritional state of elderly patients. Facts Res Gerontol 1997; 4 (suppl 2): 15–59. 14. Wade DT. Measurement in neurological rehabilitation. Curr Opin Neurol Neurosurg 1992; 5: 682–6. 15. Jensen J, Lundin-Olsson L, Lindmark B, Nillbrand A, Gustafson Y. Bergs balansskala: prövning av interbedömarreliabilitet. Nordisk Fysioterapi 1998; 1: 1–6. 16. Lundin-Olsson L, Jensen J, Waling K. Den svenska versionen av The Balance Scale. Sjukgymnasten: Vetenskapligt supplement 1996: 16–9. 17. Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Can J Public Health 1992; 83 (Suppl 2): S7–11. 18. Österlind PO. Medical and social conditions in the elderly gender and age differences. The Umeå longitudinal study. [doctoral thesis]. Umeå, Sweden: University of Umeå, 1993. 19. Agüero-Torres H, von Strauss E, Viitanen M, Winblad B, Fratiglioni L. Institutionalization in the elderly: The role of chronic diseases and dementia. Cross-sectional and longitudinal data from a population-based study. J Clin Epidemiol 2001; 54: 795–801. 20. Cooper C. The crippling consequences of fractures and their impact on quality of life. Am J Med 1997; 103 (Suppl 2A): 12S–17S; discussion 17S–19S. 21. Willig R, Keinanen-Kiukaaniemi S, Jalovaara P. Mortality and quality of life after trochanteric hip fracture. Public Health 2001; 115: 323–7. 22. Trombetti A, Herrmann F, Hoffmeyer P, Schurch MA, Bonjour JP, Rizzoli R. Survival and potential years of life lost after hip fracture in men and age-matched women. Osteoporos Int 2002; 13: 731–7. 23. Parker MJ, Palmer CR. Prediction of rehabilitation after hip fracture [see comments]. Age Ageing 1995; 24: 96–8. 24. Svensson O, Stromberg L, Ohlen G, Lindgren U. Prediction of the outcome after hip fracture in elderly patients. J Bone Joint Surg Br 1996; 78: 115–18. 25. Thorngren KG, Ceder L, Svensson K. Predicting results of rehabilitation after hip fracture. A ten-year follow-up study. Clin Orthop 1993; Feb: 76–81. doi:10.1093/ageing/afi042 The use of the Tempa.Dot thermometer in routine clinical practice SIR—The Tempa.Dot single-use thermometer has been in use in the UK for over 10 years and in the USA for nearly 30 years. Over the last 7 years it has been marketed by 3M Health Care Limited [1]. Its use in the NHS followed the European Union Directive to reduce the medical use of mercury. It also has the advantages of lack of cross-infection risk and more rapid recordings. A sensor matrix at the tip of the thermometer consists of 50 temperature-indicating dots, each with a melting point separation of 0.1 °C. At any given temperature within the range 35.5–40.4 °C, all dots with a 297 Research letters gave a correct interpretation versus only 12% of fully qualified staff (χ2 test P < 0.06). On both occasions the median result was 37.5 °C with an interquartile range of 37.2–37.6 °C. The temperatures recorded spanned a range of 0.7 °C in 1998 and 1.3 °C in 2001. Comment Figure 1. An image of the temperature-measuring end of a thermometer showing a temperature of 37.6 °C. This image was presented to nursing staff with the correct reading blacked out as shown here. melting point at or below that temperature change colour from beige to bright blue. Temperature readings are indicated by the number on the thermometer that corresponds with the row of the last blue dot plus 0.1 °C for every blue dot in that row greater than one (Figure 1). Tempa.Dot complies with European published standard EN-1247002(P2). This requires the mean accuracy to be within 0.1 °C for each dot. Tempa.Dot thermometers were introduced in our hospitals in 1998. We were concerned that incorrect readings were being recorded by staff due to the non-intuitive method of deriving the temperature value. We therefore set out to test this concern and repeated our observations 3 years later. Methods and results The manufacturer’s packaging has a printed image representing a reading from the thermometer showing a temperature of 37.6 °C (Figure 1). Without prior warning on two occasions 3 years apart, nurses on seven medical wards (both general medicine and geriatric medicine) were shown the image and asked what temperature they thought it represented. The nurses’ training status and their interpretation were recorded and the results are seen in Table 1. Nurses were either healthcare assistants (HCAs, previously known as auxillary nurses) or fully qualified nurses (RGNs). Interestingly, of 48 nurses approached in 2001, only 11 (23%) correctly interpreted the image, but 33% of HCAs Table 1. 1998 Percentage correct 2001 Percentage correct This is the first report of the accuracy of the interpretation of temperature recordings by staff using the Tempa.Dot thermometer and worrying failures were identified. Two previous studies have shown slightly higher axillary temperatures with the Tempa.Dot thermometer than the glass mercury thermometer [2, 3] but no difference in oral temperatures. The first of these studies used specific study nurses rather than ward staff so it is unlikely that there will have been inaccuracy in interpretation. In the second study, wide variability in readings was seen at each temperature, although mean axillary values differed by 0.25 °C (Tempa.Dot higher than mercury glass). It is interesting that our data suggest a trend towards improved accuracy of interpretation in HCAs. It is not possible to fully explain this phenomenon, but taking routine patient observations is a task often delegated to HCAs and their increased experience may be reflected in their improved accuracy. Although it seemed understandable that a radical change in temperature recording procedure should result in problems, it is worrying that 3 years later the problem persisted. There is no suggestion that there is any inaccuracy in the temperature recording, merely in the interpretations by staff. The staff surveyed represented those that undertake temperature observations in practice. Our experience is that medical staff produce similarly unreliable recordings— indeed this originally prompted the study. We did not test this as medical staff are not responsible for routine temperature measurements. Whilst staff training should correct the problem, our data suggest that the Tempa.Dot design is not impervious to human error. Interestingly, the two most common erroneous readings were 37.2 °C and 37.7 °C. It is easy to see why from Figure 1. Unfortunately we have no details of the training the nurses received in the use of the Tempa.Dot thermometer. We brought our data to the attention of The Medicines and Healthcare products Regulatory Agency (MHRA) and the manufacturers. The manufacturers confirm that despite another reported problem with the interpretation of the Tempa.Dot thermometer they are confident that it is accurate and readable given suitably trained staff. The MHRA is taking no further specific action currently but will be evaluating non-mercury thermometers in the near future. Kings College Hospital no longer uses the Tempa.Dot thermometer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . Qualified (n = 18) HCA (n = 12) Overall (n = 30) 22% 25% 23% Qualified (n = 24) HCA (n = 24) Overall (n = 48) 12% 33% 23% A total of 78 nurses were assessed, overall percentage correct = 23%. 298 Key points • The large majority of nurses who perform temperature measurements with the Tempa.Dot thermometer in Research letters routine clinical practice are unable to interpret a standardised image depicting a temperature reading of 37.6 °C. • These results were reproducible 3 years after the thermometers had been in regular use. • The nurses’ interpretations of the image depicting 37.6 °C spanned a range of 0.7 °C in 1998 and 1.3 °C in 2001. • The errors in interpretation of thermometer readings may lead to inappropriate medical management, potentially to the patient’s detriment. Funding No funding was sought. B. C. CREAGH-BROWN*, D. ARMSTRONG JAMES, S. H. D. JACKSON Department of Health Care of the Elderly, Kings College Hospital, London SE5 8PJ, UK Email: [email protected] *To whom correspondence should be addressed hospital in South Trent. The second a district general hospital in Mid-Trent. For the first survey, 200 randomly selected case notes with a primary coding diagnosis of COPD over a 6 month period were requested. A total of 172 notes (86%) were obtained and of these 116 (67%) were felt, on review by a physician, to be correctly coded and thus suitable for inclusion in the study. In the second survey, 150 randomly selected case notes were similarly requested; 116 notes (77%) were obtained, of which 79 (68%) were felt to be correctly coded. A standard form was used to record clinical details of the hospital admission in both centres. The management of patients was analysed by age as a binary variable (74 years and under and 75 years and above, based on a median age of 74 years) using contingency tables. Mantzel Heinz odds ratios were calculated where appropriate. Further logistic regression analysis was used to adjust for any potential differences in disease severity or differences between the two centres. Results References 1. 3M Introduces Single-Use Clinical Thermometers That Help Reduce Infection Transmission. Press release 17 February 1997, www.3m.com/profile/pressbox/tempadot.html. 2. Board M. Comparison of disposable and glass mercury thermometers. Nurs Times 1995; 91: 36–7. 3. Rogers MA. Viable alternative to the glass/mercury thermometer. Paediatr Nurs 1992; 4. doi:10.1093/ageing/afi069 A study of the management of COPD according to established guidelines and the implications for older patients SIR—COPD is common in older populations and a major cause of mortality and morbidity. It accounts for over 1,000 consultations per 10,000 patients in the 75-and-over age group, compared with 400 in those under 65 years of age [1]. It is a major cause of hospital admission in the elderly with almost 20,000 admissions per million population in the year 1999/2000 in the 75-and-over age group [2]. Previous studies have shown that doctors are less likely to give smoking cessation advice to older subjects [3], and that pulmonary rehabilitation programmes mainly include younger subjects [4]. We hypothesized that older patients would have less access to interventions known to improve the morbidity and mortality in chronic obstructive pulmonary disease (COPD). Methods We surveyed the management of COPD in two large hospitals in the Trent region, over two 6 month periods between 2001 and 2003. The first hospital was a large teaching One hundred and ninety-five case notes were included in the study. A total of 116 notes were included from the South Trent population and 79 notes from the Mid-Trent population. The subjects had a mean age of 72.4 years (range 35–92), 59% were male. By British Thoracic Society Criteria, 45.6% were felt to have severe disease and 33.8% mild or moderate disease; 20.5% could not be classified due to scarcity of information in the clinical notes. Severity of disease was also assessed based on the number of hospital admissions over a 3 year period. Twenty-four per cent of subjects had had no admissions in the preceding 3 years, 15% had one prior admission, 16% had two prior admissions and 27% had three or more prior admissions. In 17% the number of previous admissions could not be accurately determined (incomplete notes). The two populations did not differ significantly in age, sex or severity of disease. Smoking status was recorded in 93% of individuals: 33.8% were current smokers, 55.9% ex-smokers and 3.1% never smokers. Only 20% of subjects had evidence of spirometry being performed either in the preceding 3 years or 6 months after hospital admission, despite all having a clinical diagnosis of COPD and being on regular medication. Age did not appear to influence whether spirometry was performed (P = 0.826). Similarly, only 16.4% of subjects regularly using inhalers had their inhaler technique checked during the course of their hospital admission or on follow-up. Older patients were not more likely to have their inhaler technique checked than younger subjects (P = 0.518). Of those subjects still smoking, only 16% were given smoking cessation advice at any point during their hospital admission. Furthermore, older patients were significantly less likely to be given smoking cessation advice, 3% versus 27% (odds ratio = 12.1 (95% CI 1.3–113.8), chi-squared = 7.79, P = 0.005). These differences in smoking cessation advice persisted after regression analysis with adjustment for disease severity, number of admissions and centre (P = 0.002). 299
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