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1.
Arch Gerontol Geriatr ; 120: 105325, 2024 May.
Article in English | MEDLINE | ID: mdl-38237375

ABSTRACT

OBJECTIVE: To examine the association between the de Morton Mobility Index (DEMMI) score on admission in geriatric patients and readmission and mortality within 30, 180, and 365 days after discharge, and discharge to a post-acute care facility. METHODS: A nationwide register-based cohort study including 23,941 geriatric in-patients aged ≥65 years admitted to a geriatric ward between 2014 and 2017 and included in the Danish National Database for Geriatrics. The DEMMI score was categorized into four subcategories: very low mobility (DEMMI=0-24), low mobility (DEMMI=27-39), moderately reduced mobility (DEMMI=41-57), and independent mobility (DEMMI=62-100). Patients were followed 30, 180 and 365 days after discharge for readmission and mortality. Their risk of being discharged to a post-acute care facility was examined. Adjusted hazard ratios (HRs) and odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated. RESULTS: HRs for readmission within 30-days were 1.36 (1.24-1.48) for very low mobility, 1.30 (1.20-1.42) for low mobility and 1.17 (1.08-1.28) for moderately reduced compared with independent mobility. Similar results were seen for readmission within 180- and 365-days. For mortality, HR for 30-day mortality ranged from1.93 and 5.66, 180-day mortality between 1.62 and 3.19, and 365-day mortality between 1.54 and 2.81 compared with patients with independent mobility. OR for discharge to a post-acute care facility was 8.76 (7.29-10.53) for lowest compared with the highest DEMMI mobility subcategory. CONCLUSION: In geriatric in-patients, lower DEMMI scores on hospital admission are associated with increased rates of discharge to a post-acute care facility, and for readmission, and mortality within one year.


Subject(s)
Patient Discharge , Patient Readmission , Aged , Humans , Cohort Studies , Subacute Care , Geriatric Assessment/methods , Mobility Limitation , Reproducibility of Results
2.
J Clin Med ; 9(2)2020 Jan 27.
Article in English | MEDLINE | ID: mdl-32012721

ABSTRACT

Medication review for older patients with polypharmacy in the emergency department (ED) is crucial to prevent inappropriate prescribing. Our objective was to assess the feasibility of a collaborative medication review in older medical patients (≥65 years) using polypharmacy (≥5 long-term medications). A pharmacist performed the medication review using the tools: Screening Tool of Older Persons' potentially inappropriate Prescriptions (STOPP) criteria, a drug-drug interaction database (SFINX), and Renbase® (renal dosing database). A geriatrician received the medication review and decided which recommendations should be implemented. The outcomes were: differences in Medication Appropriateness Index (MAI) and Assessment of Underutilization Index (AOU) scores between admission and 30 days after discharge and the percentage of patients for which the intervention was completed before discharge. Sixty patients were included from the ED, the intervention was completed before discharge for 50 patients (83%), and 39 (61.5% male; median age 80 years) completed the follow-up 30 days after discharge. The median MAI score decreased from 14 (IQR 8-20) at admission to 8 (IQR 2-13) 30 days after discharge (p < 0.001). The number of patients with an AOU score ≥1 was reduced from 36% to 10% (p < 0.001). Thirty days after discharge, 83% of the changes were sustained and for 28 patients (72%), 1≥ medication had been deprescribed. In conclusion, a collaborative medication review and deprescribing intervention is feasible to perform in the ED.

3.
Clin Rehabil ; 32(7): 930-941, 2018 Jul.
Article in English | MEDLINE | ID: mdl-29606025

ABSTRACT

OBJECTIVES: To investigate the effect of a nutrition intervention program for geriatric nutritional at-risk patients. DESIGN: A randomized controlled trial. SETTING: Department of geriatric medicine in a university hospital and in the primary healthcare sector, Copenhagen. SUBJECTS: Geriatric patients ( N = 144) at nutritional risk. INTERVENTION: The intervention consisted of an individual dietary plan for home, including pre-discharge advice on nutritional intake, combined with three follow-up visits after discharge (one, four, and eight weeks). MAIN MEASURES: Change in body weight, Barthel Index, hand-grip strength and self-rated health from baseline (discharge) to three months after discharge, readmission, and mortality (90 and 120 days). RESULTS: The mean (SD) age in total sample was 87.2 (6.2) years. Sample size in the intervention group (IG) was N = 72, and in the control group (CG), N = 72. IG had a mean (SD) weight gain of 0.9 (4.2) kg compared to a weight loss of 0.8 (3.6) kg in the CG ( P = 0.032). In addition, an improvement in self-rated health was seen in the IG compared to CG (IG: 23 (47%) vs. CG: 12 (24%); P = 0.021). No significant difference between groups was found in functional status, mortality, or readmission rates. CONCLUSION: An individual dietary plan based on everyday food, combined with three follow-up visits (one, four, and eight weeks) after discharge, led to an improvement in nutritional status and self-rated health in geriatric patients.


Subject(s)
Malnutrition/prevention & control , Nutrition Therapy , Nutritional Status , Nutritionists , Aged, 80 and over , Female , Geriatric Assessment , Humans , Male , Weight Gain
4.
Clin Epidemiol ; 8: 731-735, 2016.
Article in English | MEDLINE | ID: mdl-27822120

ABSTRACT

AIM OF DATABASE: The aim of the National Database of Geriatrics is to monitor the quality of interdisciplinary diagnostics and treatment of patients admitted to a geriatric hospital unit. STUDY POPULATION: The database population consists of patients who were admitted to a geriatric hospital unit. Geriatric patients cannot be defined by specific diagnoses. A geriatric patient is typically a frail multimorbid elderly patient with decreasing functional ability and social challenges. The database includes 14-15,000 admissions per year, and the database completeness has been stable at 90% during the past 5 years. MAIN VARIABLES: An important part of the geriatric approach is the interdisciplinary collaboration. Indicators, therefore, reflect the combined efforts directed toward the geriatric patient. The indicators include Barthel index, body mass index, de Morton Mobility Index, Chair Stand, percentage of discharges with a rehabilitation plan, and the part of cases where an interdisciplinary conference has taken place. Data are recorded by doctors, nurses, and therapists in a database and linked to the Danish National Patient Register. DESCRIPTIVE DATA: Descriptive patient-related data include information about home, mobility aid, need of fall and/or cognitive diagnosing, and categorization of cause (general geriatric, orthogeriatric, or neurogeriatric). CONCLUSION: The National Database of Geriatrics covers ∼90% of geriatric admissions in Danish hospitals and provides valuable information about a large and increasing patient population in the health care system.

5.
Ugeskr Laeger ; 176(2): 149-52, 2014 Jan 20.
Article in Danish | MEDLINE | ID: mdl-24629682

ABSTRACT

Educational environment is of major importance for job satisfaction and it consists of several components including curriculum and values of the organization. Educational climate is the environment, as the individual physicians perceive it. Motivation is important for job satisfaction as well as for learning. Autonomy, responsibility, supervision, feedback are all important factors influencing motivation and learning. These factors must be supported through appropriate organization of work in hospital departments and in general practice.


Subject(s)
Environment , Internship and Residency/standards , Physicians/psychology , Students, Medical/psychology , Workplace , Attitude of Health Personnel , Humans , Internship and Residency/organization & administration , Job Satisfaction , Learning , Motivation
6.
Age Ageing ; 39(2): 203-9, 2010 Mar.
Article in English | MEDLINE | ID: mdl-20075035

ABSTRACT

INTRODUCTION: osteoporosis is a common disease, and the incidence of osteoporotic fractures is expected to rise with the growing elderly population. Immediately following, and probably several years after a hip fracture, patients, both men and women, have a higher risk of dying compared to the general population regardless of age. The aim of this study was to assess excess mortality following hip fracture and, if possible, identify reasons for the difference between mortality for the two genders. METHODS: this is a nationwide register-based cohort study presenting data from the National Hospital Discharge Register on mortality, comorbidity and medication for all Danish patients (more than 41,000 persons) experiencing a hip fracture between 1 January 1999 and 31 December 2002. Follow-up period was until 31 December 2005. RESULTS: we found a substantially higher mortality among male hip fracture patients than female hip fracture patients despite men being 4 years younger at the time of fracture. Both male and female hip fracture patients were found to have an excess mortality rate compared to the general population. The cumulative mortality at 12 months among hip fracture patients compared to the general population was 37.1% (9.9%) in men and 26.4% (9.3%) in women. In the first year, the risk of death significantly increased for women with increasing age (hazard ratio, HR: 1.06, 95% confidence interval, CI: 1.06-1.07), the number of comedications (HR 1.04, 95% CI 1.03-1.05) and the presence of specific Charlson index components and medications described below. For men, age (HR 1.07, 95% CI 1.07-1.08), number of comedications (HR 1.06, 95% CI 1.04-1.07) and presence of different specific Charlson index components and medications increased the risk. Long-term survival analyses revealed that excess mortality for men compared with women remained strongly significant (HR 1.70, 95% CI 1.65-1.75, P < 0.001), even when controlled for age, fracture site, the number of medications, exposure to drug classes A, C, D, G, J, M, N, P, S and for chronic comorbidities. CONCLUSION: excess mortality among male patients cannot be explained by controlling for known comorbidity and medications. Besides gender, we found higher age and multimorbidity to be related to an increased risk of dying within the first year after fracture; acute complications might be one of the explanations. This study emphasises the need for particular rigorous postoperative diagnostic evaluation and treatment of comorbid conditions in the male hip fracture patient.


Subject(s)
Fractures, Bone/mortality , Hip Fractures/mortality , Postoperative Complications/mortality , Age Factors , Aged , Cohort Studies , Comorbidity , Denmark/epidemiology , Female , Hip Fractures/surgery , Humans , Incidence , Male , Proportional Hazards Models , Risk Factors , Sex Factors , Survival Rate
7.
Prev Med ; 41(1): 321-7, 2005 Jul.
Article in English | MEDLINE | ID: mdl-15917028

ABSTRACT

BACKGROUND: Smoking is the main preventable cause of lifestyle-related diseases and smoking cessation interventions have shown to be cost-effective. It is important to know the smoking habits and attitudes towards smoking among the hospital staff because of the impact the staff have on the patients. Two studies were conducted to attain this information. METHODS: This study analyzes the results of a survey conducted in the summer of 2001 and compares them to a similar study conducted in 1999. 970 anonymous questionnaires were distributed in 2001. RESULTS: The number of smokers among the staff has significantly decreased from 33% to 26% over the 2-year period. Those who do still smoke are less willing to quit and are reluctant to accept help to stop smoking. Fewer are bothered by passive smoking now compared to 1999 and approximately 2/3 of the responders do not find it acceptable to implement sanctions against the members of staff who break the prohibition. CONCLUSION: It is worth providing resources to smoking cessation intervention. The intensive preventive work carried out at the hospital may have resulted in significantly fewer smokers among the staff which again facilitate the staff's effort to help the patients stop smoking.


Subject(s)
Attitude to Health , Medical Staff, Hospital/statistics & numerical data , Smoking Cessation/statistics & numerical data , Smoking/epidemiology , Tobacco Smoke Pollution/statistics & numerical data , Adult , Age Factors , Attitude of Health Personnel , Cross-Sectional Studies , Denmark/epidemiology , Female , Humans , Incidence , Male , Middle Aged , Personnel, Hospital/statistics & numerical data , Probability , Risk Assessment , Risk Factors , Sex Factors , Smoking/psychology , Smoking Prevention , Surveys and Questionnaires , Time Factors , Tobacco Smoke Pollution/prevention & control , Workplace
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