SDGs in Bangladesh: Implementation Challenges and Way Forward

2021 ◽  
pp. 1-14
Author(s):  
Shamsul Alam
Keyword(s):  
Implementation Challenges

The Development of Speech-Language Pathology in Zambia: A Reflection on the Current Landscape and Two Contrasting Training Models

2017 ◽  
Vol 2 (17) ◽  
pp. 63-72
Author(s):  
Suzanna Bright ◽  
Chisomo Selemani
Keyword(s):  
Multidimensional Poverty ◽  
Capital City ◽  
Service Development ◽  
Speech Impairment ◽  
Implementation Challenges ◽  
Training Models ◽  
The Disabled ◽  
Disability Prevalence ◽  
Service Gap ◽  
Communication Disability

Functional approaches to disability measurement in Zambia reveals an overall disability prevalence rate of 13.4%, 4% of whom are recorded as having “speech impairment” (Zambia Federation of the Disabled [ZAFOD], 2006). Further, multidimensional poverty assessments indicate that 48.6% of Zambia's approximately 16 million citizens are impoverished. Currently, there are three internationally qualified speech-language pathologists (SLPs) providing services within Zambia's capital city, Lusaka. Given these statistics, it follows that a significant number of Zambian's, experiencing communication disability, are unable to access specialist assessment and support. Over the past decade, Zambia has seen two very different approaches to address this service gap—firstly, a larger scale top-down approach through the implementation of a formal master's degree program and more recently a smaller scale, bottom-up approach, building the capacity of existing professionals working in the field of communication disability. This article provides an overview of both programs and the context, unique to Zambia, in which they have developed. Authors describe the implementation challenges encountered and program successes leading to a discussion of the weakness and merits to both programs, in an attempt to draw lessons from which future efforts to support communication disability and SLP service development in Majority World contexts may benefit.

scholarly journals Adrenoleukodystrophy Newborn Screening in California Since 2016: Programmatic Outcomes and Follow-Up

2021 ◽  
Vol 7 (2) ◽  
pp. 22
Author(s):  
Jamie Matteson ◽  
Stanley Sciortino ◽  
Lisa Feuchtbaum ◽  
Tracey Bishop ◽  
Richard S. Olney ◽  
...  
Keyword(s):  
Newborn Screening ◽  
Program Implementation ◽  
Screening Program ◽  
Birth Prevalence ◽  
Variant Of Uncertain Significance ◽  
Implementation Challenges ◽  
Screening Programs ◽  
Uncertain Significance ◽  
Long Term Follow Up

X-linked adrenoleukodystrophy (ALD) is a recent addition to the Recommended Uniform Screening Panel, prompting many states to begin screening newborns for the disorder. We provide California’s experience with ALD newborn screening, highlighting the clinical and epidemiological outcomes observed as well as program implementation challenges. In this retrospective cohort study, we examine ALD newborn screening results and clinical outcomes for 1,854,631 newborns whose specimens were received by the California Genetic Disease Screening Program from 16 February 2016 through 15 February 2020. In the first four years of ALD newborn screening in California, 355 newborns screened positive for ALD, including 147 (41%) with an ABCD1 variant of uncertain significance (VUS) and 95 males diagnosed with ALD. After modifying cutoffs, we observed an ALD birth prevalence of 1 in 14,397 males. Long-term follow-up identified 14 males with signs of adrenal involvement. This study adds to a growing body of literature reporting on outcomes of newborn screening for ALD and offering a glimpse of what other large newborn screening programs can expect when adding ALD to their screening panel.

scholarly journals 411 - Implementing the STrAtegies for RelaTives (START) intervention in Portugal – preliminary findings

2020 ◽  
Vol 32 (S1) ◽  
pp. 127-127
Author(s):  
Fatima Urzal ◽  
Ana Quintão ◽  
Catarina Santos ◽  
Nuno Moura ◽  
Ana Banazol ◽  
...  
Keyword(s):  
Pilot Study ◽  
Coping Strategies ◽  
Family Caregivers ◽  
Clinical Training ◽  
Unmet Needs ◽  
Depression Scale ◽  
Subjective Impression ◽  
Implementation Challenges ◽  
People With Dementia ◽  
The Uk

IntroductionAs in other countries, Portuguese family caregivers have unmet needs regarding information and distress. START (STrAtegies for RelaTives) is a manual-based coping intervention for families of people with dementia, including coping strategies and stress-management components, by Livingston and colleagues (https://www.ucl.ac.uk/psychiatry/research/mental-health-older-people/projects/start). In the UK, START has been clinically effective, immediately and continuing even after 6-years, without increasing costs. Clinical training and supervision ensures treatment fidelity. In Portugal, these kind of interventions are less available and, when provided, are mostly supportive and fail to address coping strategies. Paradoxically, recruitment may also prove challenging.ObjectivesWe describe the development of the Portuguese translation of START, incorporating guidance from the UK team, and a pilot study of delivery to family caregivers of people with dementia. We will also discuss the challenges of recruiting participants and delivering the intervention.MethodWe translated the START intervention and recruited family caregivers from neurology and psychiatry outpatients, in a central hospital in Lisbon. Our baseline assessment included the Hospital Anxiety and Depression Scale and the Zarit Burden Interview. The pilot is still ongoing at time of submitting, so we focus on recruitment, baseline assessments and process issues.ResultsDuring a three-month period, we recruited six caregivers. Five were primary caregivers (spouses or adult children) who had been caring for their relatives for 2 up to 10 years. Two caregivers met the international cutoff for clinically relevant affective disorder . The most frequent motivators for taking part were learning to communicate with their relatives and increasing knowledge to build community resources. Overall, the subjective impression of the therapist in charge is that the intervention seems acceptable and promising.Discussion/ConclusionsThis pilot study will eventually lead to an improved version of the Portuguese version of the START manual. So far, the intervention seems appropriate for selected caregivers in Portugal. However, response to striking unmet needs, particularly basic home support, may need to precede interventions like START. We look forward to concluding the intervention study and analyzing the implementation challenges, as a basis to inform a wider-scale trial.

scholarly journals Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4050
Author(s):  
Dejan Pavlovic ◽  
Christopher Davison ◽  
Andrew Hamilton ◽  
Oskar Marko ◽  
Robert Atkinson ◽  
...  
Keyword(s):  
Neural Network ◽  
Model Performance ◽  
Ground Truth ◽  
Practical Implementation ◽  
Ground Truth Data ◽  
Battery Lifetime ◽  
Implementation Challenges ◽  
Memory Footprint ◽  
Commercial Farms ◽  
Using Data

Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and have evolved to identify behaviours such as the time spent ruminating and eating at an individual animal level. Acquiring this information at scale is central to informing on-farm management decisions. The paper presents the development of a Convolutional Neural Network (CNN) that classifies cattle behavioural states (`rumination’, `eating’ and `other’) using data generated from neck-mounted accelerometer collars. During three farm trials in the United Kingdom (Easter Howgate Farm, Edinburgh, UK), 18 steers were monitored to provide raw acceleration measurements, with ground truth data provided by muzzle-mounted pressure sensor halters. A range of neural network architectures are explored and rigorous hyper-parameter searches are performed to optimise the network. The computational complexity and memory footprint of CNN models are not readily compatible with deployment on low-power processors which are both memory and energy constrained. Thus, progressive reductions of the CNN were executed with minimal loss of performance in order to address the practical implementation challenges, defining the trade-off between model performance versus computation complexity and memory footprint to permit deployment on micro-controller architectures. The proposed methodology achieves a compression of 14.30 compared to the unpruned architecture but is nevertheless able to accurately classify cattle behaviours with an overall F1 score of 0.82 for both FP32 and FP16 precision while achieving a reasonable battery lifetime in excess of 5.7 years.

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