Äldre och psykofarmaka : Några sjuksköterskors uppfattning

Nearly nine percent of the population in Sweden are 75 years or older. Still they consume more than a quarter of all medicines. This increased use, is specially noticeable in nursing home residents, where the elderly is using a average of 8-10 preparations per day. According to the National Board of Health and Welfare in Sweden, the number of drugs and specially psychotropic drugs, has proved to be a risk factor for drug-related problems among the elderly, such as drug interaction and side effects. Routines for regular and systematic follow-up of drug prescription and utilisation reviews were not extensively implemented. According to the National Board of Health and Welfare its important to start the work to reduce psychotropic drugs among the elderly in nursing homes. Aim: This studie examine nurses apprehension about psychotopic drugs among the elderly in nursing homes. Method: An questionnarie based survey whit 10 closed questions. The questionary was answered of 46 nurses who works in nursing homes. Result: A majority of the nurses, tought the elderly in nursing homes were using to musch psychotropic drugs. The nurses tought that psychotropic drugs often prescribes as a matter of routin, particullary hypnotics and sedeativs. Those drugs was not effectiv in long terms according to the nurses. They also tought that alternative mehtods should be considered before describing pscyhotropic drugs. The nurses tought as a occupational group, that they had a responsibility to follow up and evaluate the elderlys medication whit psychotropic drugs.

First-principle data-driven models for assessment of motor disorders in Parkinson’s disease

Parkinson’s disease (PD) is an increasing neurological disorder in an aging society. The motor and non-motor symptoms of PD advance with the disease progression and occur in varying frequency and duration. In order to affirm the full extent of a patient’s condition, repeated assessments are necessary to adjust medical prescription. In clinical studies, symptoms are assessed using the unified Parkinson’s disease rating scale (UPDRS). On one hand, the subjective rating using UPDRS relies on clinical expertise. On the other hand, it requires the physical presence of patients in clinics which implies high logistical costs. Another limitation of clinical assessment is that the observation in hospital may not accurately represent a patient’s situation at home. For such reasons, the practical frequency of tracking PD symptoms may under-represent the true time scale of PD fluctuations and may result in an overall inaccurate assessment. Current technologies for at-home PD treatment are based on data-driven approaches for which the interpretation and reproduction of results are problematic.  The overall objective of this thesis is to develop and evaluate unobtrusive computer methods for enabling remote monitoring of patients with PD. It investigates first-principle data-driven model based novel signal and image processing techniques for extraction of clinically useful information from audio recordings of speech (in texts read aloud) and video recordings of gait and finger-tapping motor examinations. The aim is to map between PD symptoms severities estimated using novel computer methods and the clinical ratings based on UPDRS part-III (motor examination). A web-based test battery system consisting of self-assessment of symptoms and motor function tests was previously constructed for a touch screen mobile device. A comprehensive speech framework has been developed for this device to analyze text-dependent running speech by: (1) extracting novel signal features that are able to represent PD deficits in each individual component of the speech system, (2) mapping between clinical ratings and feature estimates of speech symptom severity, and (3) classifying between UPDRS part-III severity levels using speech features and statistical machine learning tools. A novel speech processing method called cepstral separation difference showed stronger ability to classify between speech symptom severities as compared to existing features of PD speech. In the case of finger tapping, the recorded videos of rapid finger tapping examination were processed using a novel computer-vision (CV) algorithm that extracts symptom information from video-based tapping signals using motion analysis of the index-finger which incorporates a face detection module for signal calibration. This algorithm was able to discriminate between UPDRS part III severity levels of finger tapping with high classification rates. Further analysis was performed on novel CV based gait features constructed using a standard human model to discriminate between a healthy gait and a Parkinsonian gait. The findings of this study suggest that the symptom severity levels in PD can be discriminated with high accuracies by involving a combination of first-principle (features) and data-driven (classification) approaches. The processing of audio and video recordings on one hand allows remote monitoring of speech, gait and finger-tapping examinations by the clinical staff. On the other hand, the first-principles approach eases the understanding of symptom estimates for clinicians. We have demonstrated that the selected features of speech, gait and finger tapping were able to discriminate between symptom severity levels, as well as, between healthy controls and PD patients with high classification rates. The findings support suitability of these methods to be used as decision support tools in the context of PD assessment.

Sjukvårdspersonals upplevelser av underlättande och försvårande faktorer vid förskrivning av fysisk aktivitet på recept, FaR : Intervjustudie

Inledning: Studier påvisar att livsstilsrelaterade sjukdomar ständigt ökar och att fysisk inaktivitet bidrar till detta, likaså att FaR ej används i den utsträckning som det skulle behövas. Syfte: Att belysa för distriktssköterskor vilka underlättande och försvårande faktorer sjukvårdspersonal kan uppleva vid förskrivning av fysisk aktivitet på recept, FaR. Metod: En empirisk fenomenografisk intervjustudie med kvalitativ ansats. Fokusgruppsintervjuer med nio deltagare utfördes på tre vårdcentraler. Huvudresultat: Underlättande och försvårande faktorer framkom inom organisation samt i mötet mellan sjukvårdspersonal och patient, exempelvis stöd från cheferna, utbildning och motiverade patienter var underlättande faktorer. Försvårande faktorer var exempelvis tidsbrist, avsaknad av teamarbete samt negativ inställning till FaR. Konklusion: Chefernas engagemang samt patienternas inställning till fysisk aktivitet och FaR var områden som framkom vara av stor betydelse när sjukvårdspersonal skulle förskriva FaR. Att chefer gav sjukvårdspersonalen resurser för att möjliggöra arbetet med FaR, i form av tid, utbildning och teamarbete ansågs vara en grundläggande faktor. Hälsofrämjande synsätt och prioritering av FaR hos cheferna ger spridning och förankring hos sjukvårdspersonalen. Patienternas inställning till egenvård och fysisk aktivitet var en betydande faktor vid förskrivning av FaR. Där har distriktssköterskor en huvuduppgift i att motivera patienterna till livsstilsförändringar och egenvård samt informera om fysisk aktivitets inverkan på hälsan.