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Purpose Many drugs are associated with the risk of QT prolongation and torsades de pointes (TdP), and different risk assessment tools (RATs) are developed to help clinicians to manage related risk. The aim of this systematic review was to summarize the evidence of different RATs for QT prolonging pharmacotherapy. Methods A systematic review was conducted using PubMed and Scopus databases. Studies concerning risk assessment tools for QT prolonging pharmacotherapy, including older adults, were included. Screening and selection of the studies, data extraction, and risk of bias assessment were undertaken. Results A total of 21 studies were included, involving different risk assessment tools. Most commonly used tools were risk scores (n = 9), computerized physician order entry systems (n = 3), and clinical decision support systems (n = 6). The tools were developed mainly for physicians and pharmacists. Risk scores included a high number of risk factors, both pharmacological and non-pharmacological, for QT prolongation and TdP. The inclusion of patients’ risk factors in computerized physician order entry and clinical decision support systems varied. Conclusion Most of the risk assessment tools for QT prolonging pharmacotherapy give a comprehensive overview of patient-specific risks of QT prolongation and TdP and reduce modifiable risk factors and actual events. The risk assessment tools could be better adapted to different health information systems to help in clinical decision-making. Further studies on clinical validation of risk assessment tools with randomized controlled trials are needed.

Recent developments in smart mobile devices (SMDs), wearable sensors, the Internet, mobile networks, and computing power provide new healthcare opportunities that are not restricted geographically. This paper aims to introduce Mobilemicroservices Architecture (MMA) based on a study on architectures. In MMA, an HTTP-based Mobilemicroservivce (MM) is allocated to each SMD's sensor. The key benefits are extendibility, scalability, ease of use for the patient, security, and the possibility to collect raw data without the necessity to involve cloud services. Feasibility was investigated in a two-year project, where MMA-based solutions were used to collect motor function data from patients with Parkinson's disease. First, we collected motor function data from 98 patients and healthy controls during their visit to a clinic. Second, we monitored the same subjects in real-time for three days in their everyday living environment. These MMA applications represent HTTP-based business-logic computing in which the SMDs' resources are accessible globally. publishedVersion

This short article delves into the upkeep and docking of the largest heritage ships in the collections of the Maritime Museum of Finland in Kotka, Southeastern Finland. Steam driven icebreaker Tarmo was docked in 2016–2017, and lightship Kemi taken to dry dock late in 2020. Both ships are nationally significant museum vessels that were laid aside for this heritage purpose immediately after their operational life had ended. The article highlights the various research and collections activities needed in the long term maintenance and docking of such ships, and some of the surprises the museum ran into.

BACKGROUND: Over-ground robotic lower limb exoskeletons are safe and feasible in rehabilitation with individuals with spinal cord injury (SCI) and stroke. Information about effects on stroke rehabilitees is scarce and descriptions of learning process and user experience is lacking. OBJECTIVE: The objectives of this study were to describe how rehabilitees learn exoskeleton use, to study effects of exoskeleton assisted walking (EAW) training, and to study rehabilitees’ user experiences. METHODS: One-group pre-test post-test pre-experimental study involved five rehabilitees with stroke or traumatic brain injury (TBI). Participants in chronic phase underwent twice a week an 8-week training intervention with Indego exoskeleton. Process of learning to walk and the level of assistance were documented. Outcome measurements were conducted with 6-minute and 10-meter walk tests (6 MWT, 10 mWT). User experience was assessed with a satisfaction questionnaire. RESULTS: Rehabilitees learnt to walk using the exoskeleton with the assistance from 2–3 therapists within two sessions and progressed individually. Three participants improved their results in 10 mWT, four in 6 MWT. The rehabilitees felt comfortable and safe when using and exercising with the device. CONCLUSION: Indego exoskeleton may be beneficial to gait rehabilitation with chronic stroke or TBI rehabilitees. The rehabilitees were satisfied with the exoskeleton as a rehabilitation device.

This study investigates how a digital health care platform ecosystem and its essential core elements can be constructed considering specific characteristics of health care. A single case study of an ecosystem planned for patients with Parkinson's disease was conducted following a constructive research approach. The study reveals that the keystones for digital platform ecosystem design for health care purposes are as follows: 1) a focus on multi-sided mutual value propositions as a starting point for the design process; 2) understanding the technological core of the platform, including artefacts, interfaces and infrastructure; 3) understanding the actor layer, including actor resources, roles, positions and mutual interactions; and 4) understanding environmental influences in the form of data-related issues, prevailing institutions, practices and regulation. Several recommendations are offered to consider in designing the digital health care platform ecosystem. Managerially, this understanding could facilitate the development of new means of diagnostics, impactful and just-in-time care, functioning data collection and resource coordination in health care. publishedVersion

Background As populations are aging, a growing number of home care clients are frail and use multiple, complex medications. Combined with the lack of coordination of care this may pose uncontrolled polypharmacy and potential patient safety risks. The aim of this study was to assess the impact of a care coordination intervention on medication risks identified in drug regimens of older home care clients over a one-year period. Methods Two-arm, parallel, cluster randomized controlled trial with baseline and follow-up assessment at 12 months. The study was conducted in Primary Care in Lohja, Finland: all 5 home care units, the public healthcare center, and a private community pharmacy. Participants: All consented home care clients aged > 65 years, using at least one prescription medicine who were assessed at baseline and at 12 months. Intervention: Practical nurses were trained to make the preliminary medication risk assessment during home visits and report findings to the coordinating pharmacist. The coordinating pharmacist prepared the cases for the triage meeting with the physician and home care nurse to decide on further actions. Each patient’s physician made the final decisions on medication changes needed. Outcomes were measured as changes in medication risks: use of potentially inappropriate medications and psychotropics; anticholinergic and serotonergic load; drug-drug interactions. Results Participants (n = 129) characteristics: mean age 82.8 years, female 69.8%, mean number of prescription medicines in use 13.1. The intervention did not show an impact on the medication risks between the original intervention group and the control group in the intention to treat analysis, but the per protocol analysis indicated tendency for effectiveness, particularly in optimizing central nervous system medication use. Half (50.0%) of the participants with a potential need for medication changes, agreed on in the triage meeting, had none of the medication changes actually implemented. Conclusion The care coordination intervention used in this study indicated tendency for effectiveness when implemented as planned. Even though the outcome of the intervention was not optimal, the value of this paper is in discussing the real world experiences and challenges of implementing new practices in home care. Trial registration ClinicalTrials.gov (NCT02545257). Registered September 9 2015.

Background and Aims Presence of sleep‐disordered breathing (SDB) and especially obstructive sleep apnea (OSA) is a known risk factor for ischemic stroke. Additionally, SDB effects negatively on recovery after stroke. Up to one fourth of strokes are present on awakening. The link between OSA and wake‐up stroke (WUS) has been suggested. We aim to determine the association between OSA and WUS in a Finnish stroke unit cohort. Material and Methods An observational prospective longitudinal study consisted of 95 TIA (transient ischemic attack) and mild to moderate stroke patients referred to a Stroke Unit in Finland. Respiratory polygraphy was performed within 72 h of hospital admission. Patients were classified into WUS and non‐WUS, and functional outcome measures (mRS, rehabilitation, hospitalization time) were collected. Functional outcomes and prevalence of OSA were compared between non‐WUS and WUS. Results OSA (AHI > 15/h) was more frequent among WUS than non‐WUS (71% and 36%, respectively, p = 0.009). Functional outcome measured with mRS was worse in patients with WUS than non‐WUS on registration day and at hospital discharge (p = 0.001). Need for rehabilitation in WUS was 43% of cases compared to 23% of non‐WUS (p = 0.067). Hospitalization time was longer (5–15days) in 55% of WUS and 41% of non‐WUS patients (p = 0.261). Conclusion Moderate‐to‐severe OSA is related to WUS compared to non‐WUS. In addition, WUS have worse short‐term outcomes measured in mRS. Further studies are needed to determine if OSA is causally linked to WUS., The aim of this observational longitudinal study is to determine the relationship between WUS and OSA .We conclude that the proportion of moderate to severe OSA is higher stroke and TIA patients with WUS compared to patients with non‐WUS. WUS have worse short‐term outcomes measured in mRS. Further studies are needed to determine if OSA is causally linked to WUS.

Ercan Celikkayalar,1 Marja Airaksinen,1 Sirkka-Liisa Kivelä,1,2 Jenni Nieminen,1 Jenni Kleme,1 Juha Puustinen1,3,4 1Clinical Pharmacy Group, Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland; 2Unit of Family Medicine, Department of Clinical Medicine, Faculty of Medicine, University of Turku, Turku, Finland; 3Social Security Center of Pori, Pori, Finland; 4Unit of Neurology, Satasairaala Central Hospital, Pori, FinlandCorrespondence: Ercan Celikkayalar Email eacelikkayalar@gmail.comPurpose: The use of benzodiazepines and related drugs (BZD) is common among older adults although there is growing evidence of their harmful effects. This study investigated how well older people are aware of the potential risks related to the BZD they are taking and whether the risk awareness has changed in the years between 2004 and 2015.Patients and Methods: The data were collected by interviewing BZD using home-dwelling patients aged ≥ 65 years with normal cognitive function (MMSE ≥ 20) who were admitted to the hospital within a 1 month study period in the years 2004 and 2015. Patients were asked whether they were aware of the ten main potential risks related to BZD use. A risk awareness score (range 0– 10) was assessed for each patient, each known potential risk yielding one point.Results: The study included 37 patients in 2004 and 31 patients in 2015. In 2004, 6/37 patients (16%), while 16/31 patients (52%) in 2015 had risk awareness scores between 6 and 10. Awareness of dependence (p=0.047), interaction with alcohol (p=0.001), dizziness (p=0.002) and developing tolerance (p=0.002) had improved, while awareness of the other potential risks remained unchanged, muscle weakness being the least known (3/37 in 2004 and 4/31 in 2015 were aware of it as a potential risk). Regular BZD use had declined (p=0.043) but pro re nata (PRN; when required) BZD use had increased (p=0.003) between the years 2004 and 2015.Conclusion: Older BZD users’ awareness of some potential risks related to BZD use (dependence, interaction with alcohol, dizziness and developing tolerance) had improved between 2004 and 2015, while awareness of other potential risks remained unchanged.Keywords: benzodiazepines, risk awareness, potentially inappropriate medications, insomnia, aged, interview

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Purpose Collaborative medication reviews (CMR) have been shown to reduce inappropriate prescribing (IP) in various settings. This study aimed at describing a CMR practice in an emergency department (ED) short-term ward in Finland to investigate IP in pre-admission medications. Patients and Methods Pre-admission medications were collaboratively reviewed for all the adult ED admissions within a 5-month study period in 2016. Types of IP were inductively categorized, and descriptive statistics were used to show the incidence and type of IP events. Results The pre-admission medications of 855 adult ED patients were reviewed by the pharmacist, with 113 IP events identified in 83 (9.7%) of the patients. The majority (81%, n=67) of these patients were older adults (≥65 years). Of these 94 IP events identified in 67 older patients, 58 (62%) were confirmed by the ED physicians. The following 3 main categories were inductively developed for the types of identified and confirmed IP events: 1) Misprescribing (prescription of medications that significantly increase the risk of adverse drug events); 2) Overprescribing (prescription of medications for which no clear clinical indications exist); and 3) Underprescribing (omission of potentially beneficial medications that are clinically indicated for treatment or prevention of a disease). Misprescribing was the most common type of IP identified (79% of the identified and 72% confirmed IP events). Benzodiazepines (29%) and antidepressants (28%) were involved in 33 out of 58 (57%) confirmed IP events. Medications with strong anticholinergic effects were involved in 19% of the confirmed IP events. Conclusion The CMR practice was able to identify IP in pre-admission medications of about one-tenth of ED patients. Older patients using benzodiazepines and drugs with strong anticholinergic effects should be paid special attention to ED admissions.

Objectives Presence of sleep-disordered breathing (SDB) affects negatively recovery from stroke. The aim of this study is to evaluate the relationships between sleep-disordered breathing (SDB) and outcome measures in Finnish stroke unit cohort: mRS, need of rehabilitation and hospitalization time. Material and Methods An observational longitudinal study consisted of 95 patients referred to the Stroke Unit of Satakunta Hospital District over a period of November 2013 to March 2016. Patients were tested for SDB within 72 hr from the hospital admission because of ischemic stroke or TIA. The patients underwent polysomnography with NOX T3 wireless recorder. Results There are 37% (n = 35) non-OSA patients, 20% (n = 19) of patients have mild obstructive sleep apnea (OSA) and 39% (n = 37) have moderate/severe OSA and 4% (n = 4) have CSA. Patients with OSA have higher proportion of disability scores of mRS 3-5 (38%) compared to non-OSA (11%) and mild OSA (5%) patients on registration day (mRS0), and the same trend is seen at hospital discharge 35% versus 9% and 5%. (p = .009). Proportion of patients with OSA who needed rehabilitation is 65% (n = 19) versus non-OSA patients 17.5% (n = 4) and mild OSA patients 17.5% (n = 4;p = .039). We observed longer duration of hospitalization (5-15 days) in 29% of OSA patients compared to mild OSA patients 47% and OSA patients 54%. (p = .045). Conclusion Ischemic stroke patients with OSA have higher disability, higher need of rehabilitation, and longer hospitalization length. Prescreening tools for recognizing these stroke patients in acute phase could be valuable. That could result in earlier initiation of treatment and might prevent worse recovery from stroke.

Background Lyme neuroborreliosis (LNB) is often treated with intravenous ceftriaxone even if doxycycline is suggested to be noninferior to ceftriaxone. We evaluated the efficacy of oral doxycycline in comparison to ceftriaxone in the treatment of LNB. Methods Patients with neurological symptoms suggestive of LNB without other obvious reasons were recruited. The inclusion criteria were (1) production of Borrelia burgdorferi–specific antibodies in cerebrospinal fluid (CSF) or serum; (2) B. burgdorferi DNA in the CSF; or (3) an erythema migrans during the past 3 months. Participants were randomized in a 1:1 ratio to receive either oral doxycycline 100 mg twice daily for 4 weeks, or intravenous ceftriaxone 2 g daily for 3 weeks. The participants described their subjective condition with a visual analogue scale (VAS) from 0 to 10 (0 = normal; 10 = worst) before the treatment, and 4 and 12 months after the treatment. The primary outcome was the change in the VAS score at 12 months. Results Between 14 September 2012 and 28 December 2017, 210 adults with suspected LNB were assigned to receive doxycycline (n = 104) or ceftriaxone (n = 106). The per-protocol analysis comprised 82 patients with doxycycline and 84 patients with ceftriaxone. The mean change in the VAS score was −3.9 in the doxycycline group and −3.8 in the ceftriaxone group (mean difference, 0.17 [95% confidence interval, −.59 to .92], which is within the prespecified equivalence margins of −1 to 1 units). Participants in both groups improved equally. Conclusions Oral doxycycline is equally effective as intravenous ceftriaxone in the treatment of LNB. Clinical Trials Registration NCT01635530 and EudraCT 2012-000313-37.

Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems utilize machine learning to classify the movement properties based on the features derived from the signals. Smartphones can provide an inexpensive measurement platform with their built-in sensors for movement assessment. This study compared three feature selection and nine classification methods for identifying PD patients from control subjects based on accelerometer and gyroscope signals measured with a smartphone during a 20-step walking test. Minimum Redundancy Maximum Relevance (mRMR) and sequential feature selection with both forward (SFS) and backward (SBS) propagation directions were used in this study. The number of selected features was narrowed down from 201 to 4-15 features by applying SFS and mRMR methods. From the methods compared in this study, the highest accuracy for individual steps was achieved with SFS (7 features) and Naive Bayes classifier (accuracy 75.3%), and the second highest accuracy with SFS (4 features) and k Nearest neighbours (accuracy 75.1%). Leave-one-subject-out cross-validation was used in the analysis. For the overall classification of each subject, which was based on the majority vote of the classified steps, k Nearest Neighbors provided the most accurate result with an accuracy of 84.5% and an error rate of 15.5%. This study shows the differences in feature selection methods and classifiers and provides generalizations for optimizing methodologies for smartphone-based monitoring of PD patients. The results are promising for further developing the analysis system for longer measurements carried out in free-living conditions. publishedVersion

The magnitude of safety risks related to medications of the older adults has been evidenced by numerous studies, but less is known of how to manage and prevent these risks in different health care settings. The aim of this study was to coordinate resources for prospective medication risk management of home care clients ≥ 65 years in primary care and to develop a study design for demonstrating effectiveness of the procedure. Health care units involved in the study are from primary care in Lohja, Southern Finland: home care (191 consented clients), the public healthcare center, and a private community pharmacy. System based risk management theory and action research method was applied to construct the collaborative procedure utilizing each profession’s existing resources in medication risk management of older home care clients. An inventory of clinical measures in usual clinical practice and systematic review of rigorous study designs was utilized in effectiveness study design. The new coordinated medication management model (CoMM) has the following 5 stages: 1) practical nurses are trained to identify clinically significant drug-related problems (DRPs) during home visits and report those to the clinical pharmacist. Clinical pharmacist prepares the cases for 2) an interprofessional triage meeting (50–70 cases/meeting of 2 h) where decisions are made on further action, e.g., more detailed medication reviews, 3) community pharmacists conduct necessary medication reviews and each patients’ physician makes final decisions on medication changes needed. The final stages concern 4) implementation and 5) follow-up of medication changes. Randomized controlled trial (RCT) was developed to demonstrate the effectiveness of the procedure. The developed procedure is feasible for screening and reviewing medications of a high number of older home care clients to identify clients with severe DRPs and provide interventions to solve them utilizing existing primary care resources. The study is registered in the Clinical Trials.gov ( NCT02545257 ). Registration date September 9 2015.

Background: Home care (HC) clients are increasingly older, have many chronic diseases, and use multiple medicines and thus are at high risk for drug-related problems (DRPs). Objective: Establish the sensitivity of practical nurse (PN) administered DRP risk assessment tool (DRP-RAT) compared with geriatrician’s assessment of the medical record. Identify the clinically most significant DRPs needing action. Methods: Twenty-six PNs working in HC of Härkätie Health Center in Lieto, Finland, 46 HC clients (≥65 years), and a geriatrician participated in this pilot study. The geriatrician reviewed HC clients’ medications using 3 different methods. The reviews were based on the following: (1) the PN’s risk screening (ie, PN-completed DRP-RAT) and medication list, (2) health center’s medical records, and (3) methods 1 and 2 together. The main outcome was the number of “at-risk patients” (ie, the patient is at risk of clinically significant DRPs) by using each review method. Secondary outcomes were clinically most significant DRP-risk predicting factors identified by the geriatrician. Results: The geriatrician reviewed 45 clients’ medications using all 3 methods. Based on PN-completed DRP-RAT and medication list, 93% (42/45) of the clients were classified as “at-risk patients.” Two other review methods resulted in 45/45 (100%) “at-risk patients.” Symptoms suggestive of adverse drug reactions were the most significant risk predicting factors. Small sample size limits the generalizability of the results. Conclusions: The PN-completed DRP-RAT was able to provide clinically important timely patient information for clinical decision making. DRP-RAT could make it possible to more effectively involve PNs in medication risk management among older HC clients.

This article describes development of the multi-professional discharge checklist and its implementation into the nursing documentation system (NDS) as part of the patient's overall care plan. The aim was to harmonize patient's admission and care period documentation and to improve the quality of electronic nursing discharge summaries. The ultimate goal was to ensure continuity of care. The multidisciplinary discharge checklist was developed in two phases to support the discharge of elderly patients (over 65 years). First, the information content of the checklist was defined, and second, it was integrated into the NDS. Focus groups of social and healthcare professionals (n = 82) in specialist health care, primary health care and social services defined the information content and participated in the feedback and checking rounds. The development work should continue. Particular attention should be given to the technical performance of discharge checklists in the NDS.

Background: Clinical characterization of motion in patients with Parkinson disease (PD) is challenging: symptom progression, suitability of medication, and level of independence in the home environment can vary across time and patients. Appointments at the neurological outpatient clinic provide a limited understanding of the overall situation. In order to follow up these variations, longer-term measurements performed outside of the clinic setting could help optimize and personalize therapies. Several wearable sensors have been used to estimate the severity of symptoms in PD; however, longitudinal recordings, even for a short duration of a few days, are rare. Home recordings have the potential benefit of providing a more thorough and objective follow-up of the disease while providing more information about the possible need to change medications or consider invasive treatments. Objective: The primary objective of this study is to collect a dataset for developing methods to detect PD-related symptoms that are visible in walking patterns at home. The movement data are collected continuously and remotely at home during the normal lives of patients with PD as well as controls. The secondary objective is to use the dataset to study whether the registered medication intakes can be identified from the collected movement data by looking for and analyzing short-term changes in walking patterns. Methods: This paper described the protocol for an observational case-control study that measures activity using three different devices: (1) a smartphone with a built-in accelerometer, gyroscope, and phone orientation sensor, (2) a Movesense smart sensor to measure movement data from the wrist, and (3) a Forciot smart insole to measure the forces applied on the feet. The measurements are first collected during the appointment at the clinic conducted by a trained clinical physiotherapist. Subsequently, the subjects wear the smartphone at home for 3 consecutive days. Wrist and insole sensors are not used in the home recordings. Results: Data collection began in March 2018. Subject recruitment and data collection will continue in spring 2019. The intended sample size was 150 subjects. In 2018, we collected a sample of 103 subjects, 66 of whom were diagnosed with PD. Conclusions: This study aims to produce an extensive movement-sensor dataset recorded from patients with PD in various phases of the disease as well as from a group of control subjects for effective and impactful comparison studies. The study also aims to develop data analysis methods to monitor PD symptoms and the effects of medication intake during normal life and outside of the clinic setting. Further applications of these methods may include using them as tools for health care professionals to monitor PD remotely and applying them to other movement disorders. Trial Registration: ClinicalTrials.gov NCT03366558; https://clinicaltrials.gov/ct2/show/NCT03366558 International Registered Report Identifier (IRRID): DERR1-10.2196/12808

Potilaan sujuvan ja turvallisen kotiutumisen edistämiseksi tarvitaan kotiutuskäytäntöjen yhtenäistämistä ja sähköisen hoitotyön yhteenvedon tietosisällön parantamista. Kotiutuslistan käytöllä voidaan parantaa potilaan hoidon jatkuvuutta ja laatua. Se auttaa muistuttamaan hoidon jatkuvuuden kannalta oleellisista asioista hoitojakson aikana, ja sitä voidaan hyödyntää esimerkiksi sähköisen hoitotyön yhteenvedon laatimisessa. Kuvaamme tässä artikkelissa moniammatillisen kotiutuslistan tietosisällön kehittämistä hoitokertomukseen potilaan tulotilanteen ja hoitojakson aikaisen kirjaamisen yhtenäistämiseksi kirjallisuuden sekä erikoissairaanhoidossa, perusterveydenhuollossa ja sosiaalipalveluissa työskentelevien ammattilaisten (n = 82) yhteistyön tuloksena. Kotiutuslistaan sisällytettiin aikaisemman kirjallisuuden, käytössä olleiden paperisten kotiutuslistaesimerkkien ja moniammatillisten työryhmien tuotoksena syntyneitä potilaan turvallisen kotiutuksen kannalta keskeisiä tarkasteltavia asioita. Kotiutuslista pilotoitiin Satakunnan sairaanhoitopiirissä. Pilotointi toteutettiin kolmella keskussairaalan vuodeosastolla, keuhkosairauksilla, sisätaudeilla ja neurologialla, sekä vanhuspsykiatrian ja kuntoutuksen vuodeosastoilla paperimuodossa. Pilotoitu tietosisältö siirrettiin sähköiseen muotoon Effican hoitokertomukseen (hokeen) osaksi potilaan kliinistä hoitosuunnitelmaa. Moniammatillinen kotiutuslista otettiin pilotin jälkeen käyttöön Satakunnan erikoissairaanhoidon palveluissa. Kotiutuslistan keskeisimmät jatkokehittämistarpeet kohdistuvat asiakas- ja potilasnäkökulman esille saamiseen sekä sen tekniseen toimivuuteen potilastietojärjestelmässä., To promote effective and safe patient discharge, it is necessary to harmonize discharge practices and improve the content of the electronic nursing discharge summary. The use of a discharge checklist can improve the continuity and quality of patient’s care. It helps to remind of the essential things that are relevant to the continuity of care during the care period and can used in, for example, the compilation of an electronic nursing discharge summary. In this article we describe the development of the content of a multiprofessional discharge checklist into the nursing documentation system in order to harmonize the recording of the patient’s admission and care period as a result of co-operation between literature and professionals (n = 82) working in specialized health care, primary care and social work. The discharge checklist included some of the key issues for safe patient discharge that emerged from the literature, the available paper discharge checking list examples and multiprofessional workgroups. The discharge checklist was piloted at Satakunta Hospital District. Piloting was carried out in three central hospital wards (lung diseases, internal medicine, neurology) and at the elderly psychiatry and rehabilitation wards in paper format, after which the information content was transferred into an electronic form into Efficais nursing documentation system as part of the patient’s clinical care plan.

BACKGROUND Clinical characterization of motion in patients with Parkinson disease (PD) is challenging: symptom progression, suitability of medication, and level of independence in the home environment can vary across time and patients. Appointments at the neurological outpatient clinic provide a limited understanding of the overall situation. In order to follow up these variations, longer-term measurements performed outside of the clinic setting could help optimize and personalize therapies. Several wearable sensors have been used to estimate the severity of symptoms in PD; however, longitudinal recordings, even for a short duration of a few days, are rare. Home recordings have the potential benefit of providing a more thorough and objective follow-up of the disease while providing more information about the possible need to change medications or consider invasive treatments. OBJECTIVE The primary objective of this study is to collect a dataset for developing methods to detect PD-related symptoms that are visible in walking patterns at home. The movement data are collected continuously and remotely at home during the normal lives of patients with PD as well as controls. The secondary objective is to use the dataset to study whether the registered medication intakes can be identified from the collected movement data by looking for and analyzing short-term changes in walking patterns. METHODS This paper described the protocol for an observational case-control study that measures activity using three different devices: (1) a smartphone with a built-in accelerometer, gyroscope, and phone orientation sensor, (2) a Movesense smart sensor to measure movement data from the wrist, and (3) a Forciot smart insole to measure the forces applied on the feet. The measurements are first collected during the appointment at the clinic conducted by a trained clinical physiotherapist. Subsequently, the subjects wear the smartphone at home for 3 consecutive days. Wrist and insole sensors are not used in the home recordings. RESULTS Data collection began in March 2018. Subject recruitment and data collection will continue in spring 2019. The intended sample size was 150 subjects. In 2018, we collected a sample of 103 subjects, 66 of whom were diagnosed with PD. CONCLUSIONS This study aims to produce an extensive movement-sensor dataset recorded from patients with PD in various phases of the disease as well as from a group of control subjects for effective and impactful comparison studies. The study also aims to develop data analysis methods to monitor PD symptoms and the effects of medication intake during normal life and outside of the clinic setting. Further applications of these methods may include using them as tools for health care professionals to monitor PD remotely and applying them to other movement disorders. CLINICALTRIAL ClinicalTrials.gov NCT03366558; https://clinicaltrials.gov/ct2/show/NCT03366558 INTERNATIONAL REGISTERED REPOR DERR1-10.2196/12808

Long-term use of benzodiazepines or benzodiazepine receptor agonists is widespread, although guidelines recommend short-term use. Only few controlled studies have characterized the effect of discontinuation of their chronic use on sleep and quality of life. We studied perceived sleep and quality of life in 92 older (age 55-91 years) outpatients with primary insomnia before and after withdrawal from long-term use of zopiclone, zolpidem or temazepam (BZDA). BZDA was withdrawn during 1 month, during which the participants received psychosocial support and blindly melatonin or placebo. A questionnaire was used to study perceived sleep and quality of life before withdrawal, and 1 month and 6 months later. 89 participants completed the 6-month follow-up. As melatonin did not improve withdrawal, all participants were pooled and then separated based solely on the withdrawal results at 6 months (34 Withdrawers. 55 Nonwithdrawers) for this secondary analysis. At 6 months, the Withdrawers had significantly (P

Background: Studies on persistence of benzodiazepine agonist (BZDA) withdrawal in older outpatients are few, and few studies on long-term persistence over years have yet been published. To describe the persistence of temazepam, zolpidem, and zopiclone (BZDA) withdrawal among older outpatients at 3 years from the beginning of withdrawal, as well as any changes in use of other medications. Methods: 92 outpatients (>= 55 years) with primary insomnia, long-term BZDA use as hypnotics (mean duration of BZDA use 9.9 +/- 6.2 years), and willingness to withdraw from BZDAs each received either melatonin or a placebo nightly for one month. During this period, BZDAs were meant to be gradually withdrawn. Sleep hygiene counselling and psychosocial support were provided. Three years later, use of BZDAs and other medications was determined by interview and confirmed from medical records. Results: Of the original 92 outpatients, 83 (90%) participated in the 3-year survey (mean follow-up 3.3 +/- 0.2 years). The number of BZDA-free participants decreased from 34 (37%) at 6 months to 26 (28%; intention-to-treat) at 3 years, that of irregular BZDA users decreased from 44 (48%) at 6 months to 27 (29%) at 3 years, while that of regular users increased from 11 (12%) at 6 months to 30 (33%) at 3 years (P = 0.001). Those who were regular BZDA users at 3 years had at baseline (before withdrawal) higher BMI (P = 0.001) than did other participants. At 3 years, the total number of medications remained unchanged for non-users (P = 0.432), but increased for the irregular (P = 0.011) and regular users (P = 0.026) compared to baseline. At 3 years, compared to baseline, use of antidepressants, dopamine agonists, melatonin, and NSAIDs/paracetamol was significantly more common in the whole cohort, but their use did not differ between the BZDA-user subgroups. Randomization to melatonin or placebo during BZDA withdrawal was unrelated to BZDA-withdrawal result. Conclusions: At 3 years after withdrawal, the number of BZDA-free participants had decreased, but still one-third of the subjects remained BZDA-free, and one-third had reduced their use. Successful BZDA withdrawal did not lead to any increase in total number of medications; use of symptomatic medications in the whole cohort, however, did increase.

Objectives Sleep‐Disordered Breathing (SDB) is frequent in stroke patients. Polysomnography (PSG) and cardiorespiratory polygraphy are used to confirm SDB, but the need for PSG exceeds the available resources for systematic testing. Therefore, a simple and robust pre‐screening instrument is necessary to identify the patients with an urgent need for a targeted PSG. The aim of this systematic review was to identify and evaluate the available methods to pre‐screen stroke patients possibly suffering from SDB. Materials and Methods Eleven studies out of 3,561 studies met the inclusion criteria. The selected studies assessed the efficiency of seven instruments based on the data acquired clinically or by inquiries (Berlin Questionnaire, Epworth Sleepiness Scale, SOS, Modified Sleep Apnea Scale of the Sleep Disorders Questionnaire, STOP‐BANG, Four‐variable Screening Tool and Multivariate Apnea Index) and three physiological measures (capnography, nocturia, nocturnal oximetry). The instruments were used to predict SDB in patients after acute or subacute stroke. Either PSG or cardiorespiratory polygraphy was used as a standard to measure SDB. Results No independent studies using the same questionnaires, methods or criteria were published reducing generalizability. Overall, the questionnaires were quite sensitive in finding SDB but not highly specific in identifying the non‐affected. The physiological measures (capnography) indicated promising results in predicting SDB, but capnography is not an ideal pre‐screening instrument as it requires a specialist to interpret the results. Conclusions The results of pre‐screening of SDB in acute and subacute stroke patients are promising but inconsistent. The current pre‐screening methods cannot readily be referred to clinicians in neurologic departments. Thus, it is necessary to conduct more research on developing novel pre‐screening methods for detecting SDB after stroke.

summary Background: Recent epidemiologic studies have shown that the use of psychotropics is associated with many symptoms and may result in dependence and tolerance among elderly individuals. The aim of this study was to describe the symptoms related to withdrawal or dose reduction of long-term benzodiazepine (BZD) or BZD-related drugs (RDs) use and to compare them with nonuse of these drugs in community-dwelling individuals aged 65 and older. Methods: The study was a post hoc analysis embedded in a 12-month randomized, controlled fallprevention trial that included withdrawal of BZDs and RDs. The participants (n ¼ 248) in the intervention group were divided into the following four groups according to their use of BZDs/RDs at baseline and follow-up: (1) withdrawal (WG), (2) reduction (RG), (3) unchanged (UG), and (4) nonusers (NUG). Differences in symptom changes were compared between and within these four groups. Results: Using BZD/RD was associated with numerous symptoms at baseline and during the intervention. At follow-up, those symptoms reduced significantly among all participants. However, there were no significant differences between the groups in the changes of symptoms during the follow-up. Selfperceived health improved in only NUG (p < 0.001), but not in the other groups (WG, RG, and UG). Conclusion: Withdrawal or reduction of BZD/RD produced positive effects on physical, psychological, or cognitive symptoms among all participants, but no differences between the groups were detected. We recommend that clinical goals should be carefully assessed against the risks of long-term BZD/RD use, and that withdrawal interventions should be initiated for community-dwelling users aged 65 and older, especially those long-term users who may already be experiencing adverse drug effects.

Aim We compared the efficacy of melatonin and placebo as adjuvants in the withdrawal of patients from long term temazepam, zopiclone or zolpidem (here ‘BZD’) use. Methods A double-blind, placebo-controlled, randomized trial was conducted in a primary health care outpatient clinic. Ninety-two men or women (≥55 years) with primary insomnia and chronic BZD use received controlled release melatonin 2 mg (CRM) (n = 46) or placebo (n = 46) during the 1 month withdrawal from BZDs. Psychosocial support was provided. Follow-up continued for up to 6 months. Successful BZD withdrawal by the end of 1 month was confirmed by BZD plasma determinations, while reduction in BZD use and abstinence continuing for 6 months were noted. Results There were two drop-outs on CRM and one on placebo. After a 1 month withdrawal, 31 participants (67%; 95% CI 54, 81) on CRM and 39 (85%; 74, 95) on placebo had withdrawn completely (intention-to-treat analysis between groups, P = 0.051; per protocol P = 0.043). Reduction in BZD use was similar or even more rare in the CRM than in the placebo group (P = 0.052 per protocol). After 6 months, 14 participants in the CRM group and 20 in the placebo group remained non-users of BZD (NS between groups). BZD doses were higher in the CRM than in the placebo group at the end of the 6 month follow-up (P = 0.025). Withdrawal symptoms did not differ between the groups. Conclusions Gradual dose reduction of BZDs combined with CRM or placebo, and psychosocial support produced high short term and moderate long term BZD abstinence. CRM showed no withdrawal benefit compared with placebo.

Background in men, the concomitant use of two or more benzodiazepines or two or more antipsychotics is associated with an increased risk of fracture(s). Potential associations between the concomitant use of drugs with central nervous system effects and fracture risk have not been studied. Objective the purpose was to describe the gender-specific risk of fractures in a population aged 65 years or over associated with the use of an opioid, antiepileptic or anticholinergic drug individually; or, their concomitant use with each other; or the concomitant use of one of these with a psychotropic drug. Methods this study was part of a prospective, population-based study performed in Lieto, Finland. Information about fractures in 1,177 subjects (482 men and 695 women) was confirmed with radiology reports. Results at 3 years of follow-up, the concomitant use of an opioid with an antipsychotic was associated with an increased risk of fractures in men. During the 6-year follow-up, the concomitant use of an opioid with a benzodiazepine was also related to the risk of fractures for males. No significant associations were found for females. Conclusion the concomitant use of an opioid with an antipsychotic, or with a benzodiazepine may increase the risk of fractures in men aged 65 years and older.

Background/Aims: Psychotropics and antiepileptics (AE) are medications commonly used among the aged with cognitive decline or dementia, although they may precipitate further cognitive decline. Our aim was to analyze the relationships between the use of (i) psychotropics (i.e. benzodiazepines or related drugs, BZD, antipsychotics, AP, or antidepressants, AD), opioids (Op), anticholinergics (ACh) or AEs or the concomitant use of two of these drugs, and (ii) the risk of precipitous cognitive decline in an older (≧65 years) cognitively disabled population. Methods: A longitudinal population-based study of general aged community-dwelling patients was executed in two phases (1990–1991 and 1998–1999) in Lieto, Finland. Fifty-two individuals cognitively disabled (MMSE score 0–23) at the 1990–1991 baseline form this study’s sample. Cognitive abilities were assessed in each phase with the Mini-Mental State Examination (MMSE) and medication utilization data were collected in both phases. The mean follow-up time was 7.6 years. Multivariate models were used to analyze the change in MMSE total score between medication users and non-users. Results: BZD or any psychotropic use was associated with greater cognitive decline in elders aged ≧75 years compared to non-users (change in MMSE sum score: –8.6 ± 7.0 vs. –3.3 ± 5.6 and –5.9 ± 7.0 vs. –2.7 ± 6.4, respectively). A greater decline was also associated specifically with the concomitant use of BZD and AP (–16 vs. –1.4 ± 7.8); as were BZD and any drug with CNS effects (–9.6 ± 9.9 vs. –1.3 ± 7.2) compared to non-users. The concomitant use of BZD and AD (–10.7 ± 4.7 vs. –3.2 ± 5.6) or ACh (–15.0 ± 8.5 vs. –3.3 ± 5.6) or any drug with CNS effects (–13.3 ± 6.5 vs. –3.3 ± 5.6) was associated with cognitive decline in patients ≧75 years compared to non-users of any drug with CNS effects. Conclusion: The use of a BZD or any psychotropic medication may be an independent risk factor for cognitive decline in the cognitively disabled aged, and patients co-prescribed psychotropic medications had greater cognitive decline. Studies with larger sample sizes and studies on possible pathophysiologic mechanisms are needed.

Background: Concomitant use of several medications for somatic and mental disorders is common in elderly people and increases the risk of falls, with hip fracture being the most serious consequence. Objective: The objective of this study was to describe relationships between use of sedatives, antipsychotics or potent anticholinergics and postoperative mortality in patients with hip fractures. Methods: A retrospective analysis was conducted on population-based data collected during a 2-year period from 1999 to 2000 on 461 hip fracture surgery patients aged ≥65 years in Finland. Information on co-morbidities and intake of sedatives, antipsychotics and potent anticholinergics was obtained from the original patient records. Information on deaths was obtained from the official death statistics in Finland. Results: In men, use of potent anticholinergics was associated with excess age-adjusted mortality at 30 days, 3 months, 6 months and 3 years, but not in women at any timepoint. Use of potent anticholinergic drugs emerged as an independent predictor of excess mortality in men at 3 months and 3 years. Presence of cardiovascular disease and chronic lung disease were independent risk factors for excess mortality at 6 months and 3 years in men. In addition, chronic lung disease independently predicted excess mortality at 30 days. Conclusion: Use of potent anticholinergics should be evaluated critically after diseases.

Sodium valproate is widely used as an antiepileptic drug. It has potential side effects and its overdosage is toxic. We present a case where a sodium valproate intoxication with severe cerebral oedema was managed in the intensive care unit with hemodialysis, levocarnitine and supportive care.

Background Benzodiazepines and related drugs affect physical functioning negatively and increase fall and fracture risk. As impaired muscle strength and balance are risk factors for falls, we examined the effects of hypnotic withdrawal on handgrip strength and balance in older adult outpatients during and after long-term use of temazepam, zopiclone and zolpidem (here collectively referred to as “benzodiazepines”). Methods Eighty-nine chronic users (59 women, 30 men) of temazepam, zopiclone or zolpidem aged ≥55 years participated in a benzodiazepine withdrawal study. Individual physician-directed withdrawal was performed gradually over a one-month period and participants were followed up to six months. Handgrip strength was assessed using a handheld dynamometer, and balance using the Short Berg’s Balance Scale during the period of benzodiazepine use (baseline), and at 1, 2, 3 weeks, and 1, 2 and 6 months after initiating withdrawal. Withdrawal outcome and persistence were determined by plasma benzodiazepine-determinations at baseline and at four weeks (“short-term withdrawers”, n = 69; “short-term non-withdrawers”, n = 20), and by interviews at six months (“long-term withdrawers”, n = 34; “long-term non-withdrawers”, n = 55). Also most of the non-withdrawers markedly reduced their benzodiazepine use. Results Within three weeks after initiating withdrawal, handgrip strength improved significantly (P ≤ 0.005) compared to baseline values. Among women, long-term withdrawers improved their handgrip strength both when compared to their baseline values (P = 0.001) or to non-withdrawers (P =0.004). In men, improvement of handgrip strength from baseline was not significantly better in withdrawers than in non-withdrawers. However, men did improve their handgrip strength values compared to baseline (P = 0.002). Compared to balance test results at baseline, withdrawers improved starting from the first week after withdrawal initiation. There was, however, only a borderline difference (P = 0.054) in balance improvement between the long-term withdrawers and long-term non-withdrawers. Of note, the non-withdrawers tended to improve their handgrip strength and balance compared to baseline values, in parallel with their reduced benzodiazepine use. Conclusions Withdrawal from long-term use of benzodiazepines can rapidly improve muscle strength and balance. Our results encourage discontinuing benzodiazepine hypnotics, particularly in older women who are at a high risk of falling and sustaining fractures. Trial registration EU Clinical Trials Register: EudraCT2008000679530. Registered 31 October 2008

The aim of this study was to assess the effect of withdrawal from the long-term use of temazepam, zopiclone or zolpidem as hypnotics drugs (here referred to as BZD) on cognitive performance.Ninety-two adults (age ≥55 years) with primary insomnia and who were long-term daily users of BZD volunteered to participate in a 1-month medically supported withdrawal attempt from BZD use, with a subsequent 5-month follow-up. Withdrawal was based on plasma BZD measurements at baseline, at 1 month and during subsequent regular clinical appointments. Attention and psychomotor performance were measured using the CogniSpeed® at baseline and at 1, 2 and 6 months. Reaction times were determined in the Simple Reaction Time (SRT), Two-Choice Reaction Time (2-CRT) and Vigilance tests, and errors were measured by the 2-CRT and Vigilance tests. The cognition data of the withdrawal group were also compared with a cohort of BZD non-users.Eighty-nine (97 %) participants (59 women, 30 men) were followed-up for a maximum of 6 months. During the follow-up period, changes in reaction times and errors did not differ between short-term withdrawers (no residual BZD at 1 month; N = 69), non-withdrawers (residual BZD at 1 month; N = 20) or long-term withdrawers (N = 34). Compared to the reaction times of the BZD-free cohort, those of BZD users were slower at baseline. The reaction times of BZD withdrawers based on the results of the SRT or 2-CRT tests during follow-up did not reach those of the BZD-free cohort, but there was no difference between these groups in the Vigilance test.Long-term use of BDZ as hypnotic drugs by older adults is related to prolonged impairment of attentional and psychomotor cognitive functioning that persists for at least 6 months after withdrawal.