Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Environ Sci Technol ; 53(11): 6154-6161, 2019 06 04.
Article in English | MEDLINE | ID: mdl-31046248

ABSTRACT

The discharge of wastewater effluents to a stream that is subsequently used for drinking water abstraction has been previously referred to as de facto water reuse. Where the abstraction of surface water for drinking water production occurs via induced bank filtration or aquifer recharge, additional site-specific factors should be considered to assess the impact of wastewater effluents on bank-filtered water. This study represents the first national reconnaissance to quantify wastewater effluent contributions in streams across Germany and consequences for indirect drinking water abstraction from these streams. An automated assessment using ArcGIS was conducted for river basins considering minimum and mean average discharge conditions of streams as well as discharge from more than 7500 wastewater facilities. In urban areas, where the natural base discharge is low, wastewater effluent contributions greater than 30-50% were determined under mean minimum discharge conditions, which commonly prevail from May to September. A conceptual model was proposed to estimate critical bank filtrate shares resulting in exceedances of monitoring trigger levels for health-relevant chemicals as a universal qualitative assessment regarding the relevance of de facto reuse conditions in surface waters used for drinking water abstraction. This approach was validated using chemical monitoring data for three case study locations.


Subject(s)
Drinking Water , Water Pollutants, Chemical , Germany , Rivers , Wastewater , Water Supply
2.
PLoS One ; 13(10): e0204455, 2018.
Article in English | MEDLINE | ID: mdl-30356229

ABSTRACT

BACKGROUND: Virtual reality-based training has found increasing use in neurorehabilitation to improve upper limb training and facilitate motor recovery. OBJECTIVE: The aim of this study was to directly compare virtual reality-based training with conventional therapy. METHODS: In a multi-center, parallel-group randomized controlled trial, patients at least 6 months after stroke onset were allocated either to an experimental group (virtual reality-based training) or a control group receiving conventional therapy (16x45 minutes within 4 weeks). The virtual reality-based training system replicated patients´ upper limb movements in real-time to manipulate virtual objects. Blinded assessors tested patients twice before, once during, and twice after the intervention up to 2-month follow-up for dexterity (primary outcome: Box and Block Test), bimanual upper limb function (Chedoke-McMaster Arm and Hand Activity Inventory), and subjective perceived changes (Stroke Impact Scale). RESULTS: 54 eligible patients (70 screened) participated (15 females, mean age 61.3 years, range 20-81 years, time since stroke 3.0±SD 3 years). 22 patients were allocated to the experimental group and 32 to the control group (3 drop-outs). Patients in the experimental and control group improved: Box and Block Test mean 21.5±SD 16 baseline to mean 24.1±SD 17 follow-up; Chedoke-McMaster Arm and Hand Activity Inventory mean 66.0±SD 21 baseline to mean 70.2±SD 19 follow-up. An intention-to-treat analysis found no between-group differences. CONCLUSIONS: Patients in the experimental and control group showed similar effects, with most improvements occurring in the first two weeks and persisting until the end of the two-month follow-up period. The study population had moderate to severely impaired motor function at entry (Box and Block Test mean 21.5±SD 16). Patients, who were less impaired (Box and Block Test range 18 to 72) showed higher improvements in favor of the experimental group. This result could suggest that virtual reality-based training might be more applicable for such patients than for more severely impaired patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT01774669.


Subject(s)
Stroke Rehabilitation/methods , Upper Extremity , Virtual Reality Exposure Therapy , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Paresis/etiology , Paresis/physiopathology , Paresis/rehabilitation , Recovery of Function , Single-Blind Method , Stroke/complications , Stroke/physiopathology , Treatment Outcome , Virtual Reality , Young Adult
3.
Stroke Res Treat ; 2016: 6210508, 2016.
Article in English | MEDLINE | ID: mdl-28058130

ABSTRACT

Background. During the past decade, virtual reality (VR) has become a new component in the treatment of patients after stroke. Therefore aims of the study were (a) to get an insight into experiences and expectations of physiotherapists and occupational therapists in using a VR training system and (b) to investigate relevant facilitators, barriers, and risks for implementing VR training in clinical practice. Methods. Three focus groups were conducted with occupational therapists and physiotherapists, specialised in rehabilitation of patients after stroke. All data were audio-recorded and transcribed verbatim. The study was analysed based on a phenomenological approach using qualitative content analysis. Results. After code refinements, a total number of 1289 codes emerged out of 1626 statements. Intercoder reliability increased from 53% to 91% until the last focus group. The final coding scheme included categories on a four-level hierarchy: first-level categories are (a) therapists and VR, (b) VR device, (c) patients and VR, and (d) future prospects and potential of VR developments. Conclusions. Results indicate that interprofessional collaboration is needed to develop future VR technology and to devise VR implementation strategies in clinical practice. In principal, VR technology devices were seen as supportive for a general health service model.

4.
Trials ; 15: 350, 2014 Sep 06.
Article in English | MEDLINE | ID: mdl-25194928

ABSTRACT

BACKGROUND: In recent years, virtual reality has been introduced to neurorehabilitation, in particular with the intention of improving upper-limb training options and facilitating motor function recovery. METHODS/DESIGN: The proposed study incorporates a quantitative part and a qualitative part, termed a mixed-methods approach: (1) a quantitative investigation of the efficacy of virtual reality training compared to conventional therapy in upper-limb motor function are investigated, (2a) a qualitative investigation of patients' experiences and expectations of virtual reality training and (2b) a qualitative investigation of therapists' experiences using the virtual reality training system in the therapy setting. At three participating clinics, 60 patients at least 6 months after stroke onset will be randomly allocated to an experimental virtual reality group (EG) or to a control group that will receive conventional physiotherapy or occupational therapy (16 sessions, 45 minutes each, over the course of 4 weeks). Using custom data gloves, patients' finger and arm movements will be displayed in real time on a monitor, and they will move and manipulate objects in various virtual environments. A blinded assessor will test patients' motor and cognitive performance twice before, once during, and twice after the 4-week intervention. The primary outcome measure is the Box and Block Test. Secondary outcome measures are the Chedoke-McMaster Stroke Assessments (hand, arm and shoulder pain subscales), the Chedoke-McMaster Arm and Hand Activity Inventory, the Line Bisection Test, the Stroke Impact Scale, the MiniMentalState Examination and the Extended Barthel Index. Semistructured face-to-face interviews will be conducted with patients in the EG after intervention finalization with a focus on the patients' expectations and experiences regarding the virtual reality training. Therapists' perspectives on virtual reality training will be reviewed in three focus groups comprising four to six occupational therapists and physiotherapists. DISCUSSION: The interviews will help to gain a deeper understanding of the phenomena under investigation to provide sound recommendations for the implementation of the virtual reality training system for routine use in neurorehabilitation complementing the quantitative clinical assessments. TRIAL REGISTRATION: Cliniclatrials.gov Identifier: NCT01774669 (15 January 2013).


Subject(s)
Motor Activity , Occupational Therapy/methods , Physical Therapy Modalities , Research Design , Stroke Rehabilitation , Therapy, Computer-Assisted , Upper Extremity/innervation , Video Games , Attitude of Health Personnel , Clinical Protocols , Cognition , Disability Evaluation , Focus Groups , Health Knowledge, Attitudes, Practice , Humans , Interviews as Topic , Patients/psychology , Physical Therapists/psychology , Predictive Value of Tests , Psychiatric Status Rating Scales , Recovery of Function , Single-Blind Method , Stroke/diagnosis , Stroke/physiopathology , Stroke/psychology , Surveys and Questionnaires , Switzerland , Time Factors , Treatment Outcome , User-Computer Interface
SELECTION OF CITATIONS
SEARCH DETAIL
...