Reasons for home care clients' unplanned Hospital admissions and their associations with patient characteristics.

BACKGROUND: Unplanned hospitalizations and emergency room visits occur frequently among home care clients The aim of this study was to identify typical discharge diagnoses and their associations with patient characteristics among a total of 6812 Finnish home care clients aged ≥63 years who were hospitalized within one year of their first home care assessment. METHODS: A register-based study based on Resident Assessment Instrument-Home Care (RAI-HC) assessments and nationwide hospital discharge records. The RAI-HC assessments were linked to the hospital discharge records of the participants' first unplanned hospitalization. Univariate and multivariable regression analyses were used to evaluate the association of RAI-HC determinants with discharge diagnoses. RESULTS: The most common reason for the first hospitalization was an infectious disease (21%; n = 1446). When hospitalizations were classified according to the main diagnosis, chronic skin ulcers, functional impairment and daily urinary incontinence were associated with hospitalization due to infectious diseases; impaired cognitive capacity, Alzheimer's disease or other dementia and polypharmacy (protective effect) were associated with hospitalizations due to dementia; age of ≥90 years, congestive heart failure, coronary artery disease and using ≥10 drugs with hospitalizations due to heart diseases; and moderate or strong pain with hospitalization due to musculoskeletal disorders. Previous falls, female sex and an earlier hip fracture were associated with injury-related hospitalizations. Feelings of loneliness increased the odds of hospitalization due to geriatric symptoms without a specific diagnosis. CONCLUSION: Patient characteristics and geriatric syndromes identified using RAI-HC predict the reasons for future hospitalizations among new home care clients.

An analysis of electronic health record-related patient safety incidents.

The aim of this study was to analyse electronic health record-related patient safety incidents in the patient safety incident reporting database in fully digital hospitals in Finland. We compare Finnish data to similar international data and discuss their content with regard to the literature. We analysed the types of electronic health record-related patient safety incidents that occurred at 23 hospitals during a 2-year period. A procedure of taxonomy mapping served to allow comparisons. This study represents a rare examination of patient safety risks in a fully digital environment. The proportion of electronic health record-related incidents was markedly higher in our study than in previous studies with similar data. Human-computer interaction problems were the most frequently reported. The results show the possibility of error arising from the complex interaction between clinicians and computers.

Predictors for Unplanned Hospitalization of New Home Care Clients.

OBJECTIVES: To identify factors predicting unplanned hospitalization of new home care clients using the Resident Assessment Instrument for Home Care (RAI-HC). DESIGN: A register-based study based on RAI-HC assessments and nationwide hospital discharge records. SETTING: Municipal home care services in Finland. PARTICIPANTS: New Finnish home care clients aged 63 and older (N = 15,700). MEASUREMENTS: Information from home care clients' first RAI-HC assessment was connected to information regarding their first hospitalization over 1 year of follow-up. Multivariate regression analyses were used to evaluate the independent risk factors for hospitalization. RESULTS: Forty-three percent (n = 6,812) of participants were hospitalized at least once. The strongest independent risk factors were hospitalization during the year preceding the RAI-HC assessment (odds ratio (OR) = 2.01, 95% confidence interval (CI) = 1.87-2.16), aged 90 and older (OR = 1.69, 95% CI = 1.48-1.92), renal insufficiency (OR = 1.44, 95% CI = 1.22-1.69) and using 10 or more drugs (OR = 1.41, 95% CI = 1.26-1.58). Other independent risk factors were male sex, previous emergency department visits or other acute outpatient care use, daily urinary incontinence, fecal incontinence, history of falls, cognitive impairment, chronic skin ulcer, pain, unstable health status, housing-related problems, and poor self-rated health. Parkinson's disease, coronary artery disease, congestive heart failure, chronic obstructive pulmonary disease, and cancer were independent prognostic indicators. A body mass index of 24 kg/m2 or greater and the client's own belief that functional capacity could improve had a protective role. CONCLUSION: Assessing new home care clients using the RAI-HC reveals modifiable risk factors for unplanned hospitalization. Systematic assessment by a multidisciplinary team at the beginning of the service and targeting modifiable risk factors could reduce the risk of unplanned hospitalization.

Urinary tract infections and antimicrobial use among Finnish home care clients, April-September 2014.

The 30-day prevalence of urinary tract infection (UTI) among Finnish home care clients (N = 6,887) estimated by the Resident Assessment Instrument was 4.5%, and 5.9% of the clients received antimicrobial agents, most commonly for UTI prophylaxis. Urinary catheter and female gender were the strongest factors independently associated with antimicrobial use and UTI. The Resident Assessment Instrument provides data that could be used when training home care providers and primary health care workers in the appropriate use of antimicrobial agents and UTI prevention.

Assessing prevalence of antimicrobial use and infections using the minimal data set in Finnish long-term care facilities.

Of all residents (n = 12,784) for whom a minimum data set 2.0 form was completed in long-term care facilities (n = 253) using a Resident Assessment Instrument in April and September 2011 in Finland, 16% received antimicrobials, most commonly methenamine (42%) and trimethoprim (24%). The prevalence of urinary tract infections was 8%, wound infection 2%, and pneumonia 2%. Minimum data set form provides a feasible tool for collecting data on antibiotic use and infections in long-term care facilities.