Background The area of hospital readmission in older adults within 30 days of discharge is extensively researched but few studies look at the whole process. In this study we investigated risk factors related, not only to patient characteristics prior to and events during initial hospitalisation, but also to the processes of discharge, transition of care and follow-up. We aimed to identify patients at most risk of being readmitted as well as processes in greatest need of improvement, the goal being to find tools to help reduce early readmissions in this population. Methods This comparative retrospective study included 720 patients in total. Medical records were reviewed and variables concerning patient characteristics prior to and events during initial hospital stay, as well as those related to the processes of discharge, transition of care and follow-up, were collected in a standardised manner. Either a Student’s t-test, χ2-test or Fishers’ exact test was used for comparisons between groups. A multiple logistic regression analysis was conducted to identify variables associated with readmission. Results The final model showed increased odds of readmission in patients with a higher Charlson Co-morbidity Index (OR 1.12, p-value 0.002), excessive polypharmacy (OR 1.66, p-value 0.007) and living in the community with home care (OR 1.61, p-value 0.025). The odds of being readmitted within 30 days increased if the length of stay was 5 days or longer (OR 1.72, p-value 0.005) as well as if being discharged on a Friday (OR 1.88, p-value 0.003) or from a surgical unit (OR 2.09, p-value 0.001). Conclusion Patients of poor health, using 10 medications or more regularly and living in the community with home care, are at greater risk of being readmitted to hospital within 30 days of discharge. Readmissions occur more often after being discharged on a Friday or from a surgical unit. Our findings indicate patients at most risk of being readmitted as well as discharging routines in most need of improvement thus laying the ground for further studies as well as targeted actions to take in order to reduce hospital readmissions within 30 days in this population.

Background Previous studies have shown that approximately 20% of hospital readmissions can be medication-related and 70% of these readmissions are possibly preventable. This retrospective medical records study aimed to find risk factors associated with medication-related readmissions to hospital within 30 days of discharge in older adults (≥65 years). Methods 30-day readmissions (n = 360) were assessed as being either possibly or unlikely medication-related after which selected variables were used to individually compare the two groups to a comparison group (n = 360). The aim was to find individual risk factors of possibly medication-related readmissions focusing on living arrangements, polypharmacy, potentially inappropriate medication therapy, and changes made to medication regimens at initial discharge. Results A total of 143 of the 360 readmissions (40%) were assessed as being possibly medication-related. Charlson Comorbidity Index (OR 1.15, 95%CI 1.5–1.25), excessive polypharmacy (OR 1.74, 95%CI 1.07–2.81), having adjustments made to medication dosages at initial discharge (OR 1.63, 95%CI 1.03–2.58) and living in your own home, alone, were variables identified as risk factors of such readmissions. Living in your own home, alone, increased the odds of a possibly medication-related readmission 1.69 times compared to living in your own home with someone (p-value 0.025) and 2.22 times compared to living in a nursing home (p-value 0.037). Conclusion Possibly medication-related readmissions within 30 days of discharge, in patients 65 years and older, are common. The odds of such readmissions increase in comorbid, highly medicated patients living in their own home, alone, and if having medication dosages adjusted at initial discharge. These results indicate that care planning before discharge and the provision of help with, for example, managing medications after discharge, are factors especially important if aiming to reduce the amount of medication-related readmissions among this population. Further research is needed to confirm this hypothesis.

Objective: The aim of this study was to assess the mortality in hip fracture patients with regard to use of fall-risk-increasing drugs (FRIDs), by comparing survival in exposed and nonexposed individuals. Design: This was a general population-based cohort study. Settings: Data on hip fracture patients were retrieved from three national databases. Participants: All hip fracture patients aged 60 years or older in a Swedish county in 2006 participated in this study. Measurements: We studied the mortality in hip fracture patients by comparing those exposed to FRIDs, combinations of FRIDs, and polypharmacy to nonexposed patients, adjusting for age and sex. For survival estimates in patients using four or more FRIDs, a Cox regression analysis was used, adjusting for age, sex, and use of any four or more drugs. Results: First-year all-cause mortality was 24.6% (N=503) in 2,043 hip fracture patients aged 60 years or older, including 170 males (33.8%) and 333 females (66.2%). Patients prescribed four or more FRIDs, five or more drugs (polypharmacy), psychotropic drugs, and cardiovascular drugs showed significantly increased first-year mortality. Exposure to four or more FRIDs (518 patients, 25.4%) was associated with an increased mortality at 30 days with odds ratios (ORs) 2.01 (95% confidence interval [CI] 1.44-2.79), 90 days with OR 1.56 (95% CI 1.19-2.04), 180 days with OR 1.54 (95% CI 1.20-1.97), and 365 days with OR 1.43 (95% CI 1.13-1.80). Cox regression analyses adjusted for age, sex, and use of any four or more drugs showed a significantly higher mortality in patients treated with four or more FRIDs at 90 days (P=0.015) and 180 days (P=0.012) compared to patients treated with three or less FRIDs. Conclusion: First-year all-cause mortality was significantly higher in older hip fracture patients exposed before the fracture to FRIDs, in particular to four or more FRIDs, polypharmacy, psychotropic, and cardiovascular drugs. Interventions aiming to optimize both safety and benefit of drug treatment for older people should include limiting the use of FRIDs.

Purpose This qualitative study aimed to investigate experiences and perceptions of hospital physicians regarding the discharging process, focusing on information transfer regarding medications. Methods By purposive sampling three focus groups were formed. To facilitate discussions and maintain consistency, a semi-structured interview guide was used. Discussions were audio recorded and transcribed verbatim. Qualitative content analysis was used to analyze the anonymized data. A confirmatory analysis concluded that the main findings were supported by data. Results Identified obstacles were divided into three categories with two sub-categories each: Infrastructure ; IT-systems currently used are suboptimal and complex. Hospital and primary care use different electronic medical records, complicating matters. The work organization is not helping with time scarcity and lack of continuity. Distinct routines could help create continuity but are not always in place, known, and/or followed. Physician : knowledge and education in the systems is not always provided nor prioritized. Understanding the consequences of not following routines and taking responsibility regarding the medications list is important. Not everyone has the self-reliance or willingness to do so. Patient/next of kin : For patients to provide information on medications used is not always easy when hospitalized. Understanding information provided can be hard, especially when medical jargon is used and there is no one available to provide support. A central theme, “ We're only human ”, encompasses how physicians do their best despite difficult conditions. Conclusion There are several obstacles in transferring information regarding medications at discharge. Issues regarding infrastructure are seldom possible for the individual physician to influence. However, several issues raised by the participating physicians are possible to act upon. In doing so medication errors in care transitions might decrease and information transfer at discharge might improve.

Introduction Fall-related injuries are prevalent in older patients and often lead to increased morbidity, medication, and impaired functions. We studied older trauma patients with the aim to describe their oral health in comparison to morbidity and medication. Material and Methods The study included 198 patients, ≥65 years, admitted with an orthopedic trauma. Oral examinations included number of natural teeth, dental implants, missing, decayed and restored teeth, root remnants, and pocket depth. Data on comorbidities and medication were assembled. Statistical analyses were carried out with logistic regression models, adjusted for age, gender, comorbidity, and polypharmacy. Results Overall, 198 patients participated, 71% women, mean age 81 years (±7.9), 85% resided in their own homes, 86% had hip fractures. Chronic diseases and drug use were present in 98.9%, a mean of 6.67 in Charlson comorbidity index (CCI), 40% heart diseases, 17% diabetes, and 14% dementia. Ninety-one percent were dentate (181), mean number of teeth 19.2 (±6.5), 24% had decayed teeth, 97% filled teeth, 44% <20 teeth, and 26% oral dryness. DFT (decayed, filled teeth) over mean were identified in patients with diabetes (p=0.037), COPD (p=0.048), polypharmacy (p=0.011), diuretics (p=0.007), and inhalation drugs (p=0.032). Use of ≥2 strong anticholinergic drugs were observed in patients with <20 teeth and DFT over mean (p=0.004, 0.003). Adjusted for age, gender, CCI, and polypharmacy. Conclusion The study showed that impaired oral health was prevalent in older trauma patients and that negative effects on oral health were significantly associated with chronic diseases and drug use. The results emphasize the importance of identifying orthogeriatric patients with oral health problems and to stress the necessity to uphold good oral care during a period when functional decline can be expected.