When and by Whom Is Concern First Expressed for Children With Neuromotor Problems?

Feldman, Debbie Ehrmann; Couture, Mélanie; Grilli, Lisa; Simard, Marie-Noëlle; Azoulay, Laurent; Gosselin, Julie

doi:10.1001/archpedi.159.9.882

Cited by 18 publications

(9 citation statements)

References 18 publications

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“…The diagnosis of neuromotor abnormalities in children, as well as the assessment of patterns of physical activity early in life, has traditionally rested on observation by physicians, skilled health care professionals, or parents [38,39]. Advances have been made in a variety of such approaches including tools such as the Test of Infant Motor Performance [40], the Alberta Infant Motor Scale [41], and the Infant Motor Profile [42].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Infant Movement With a Compact Wireless Accelerometer System

Gravem

Singh

Chen

et al. 2012

Journal of Medical Devices

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There is emerging data that patterns of motor activity early in neonatal life can predict impairments in neuromotor development. However, current techniques to monitor infant movement mainly rely on observer scoring, a technique limited by skill, fatigue, and inter-rater reliability. Consequently, we tested the use of a lightweight, wireless, accelerometer system that measures movement and can be worn by premature babies without interfering with routine care. We hypothesized that this system would be useful in assessing motor activity, in identifying abnormal movement, and in reducing the amount of video that a clinician would need to review for abnormal movements. Ten preterm infants in the NICU were monitored for 1 h using both the accelerometer system and video. A physical therapist trained to recognize cramped-synchronized general movements scored all of the video data by labeling each abnormal movement observed. The parameters of three different computer models were then optimized based on correlating features computed from accelerometer data and the observer’s annotations. The annotations were compared to the model’s prediction on unseen data. The trained observer identified cramped-synchronized general movements in 6 of the 10 infants. The computer models attained between 70% and 90% accuracy when predicting the same observer label for each data point. Our study suggests that mini-accelerometers may prove useful as a clinical tool assessing patterns of movement in preterm infants.

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Section: Discussionmentioning

confidence: 99%

Assessment of Infant Movement With a Compact Wireless Accelerometer System

Gravem

Singh

Chen

et al. 2012

Journal of Medical Devices

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“…[2] The achievement of gross motor milestones is frequently delayed, and these children exhibit divergent outcomes. [3] A number of children with gross motor development delays achieve typical milestones at later ages. Some children have permanent motor disabilities, such as cerebral palsy or others conditions, which generally become more evident as the child reaches the age of 5 years and older.…”

Section: Introductionmentioning

confidence: 99%

The study on achievement of motor milestones and associated factors among children in rural North India

Gupta

Kalaivani

Gupta

et al. 2016

J Family Med Prim Care

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Background:Nearly 14% of children worldwide do not reach their developmental potential in early childhood. The early identification of delays in achieving milestones is critical. The World Health Organization (WHO) has developed normal age ranges for the achievement of motor milestones by healthy children. This study aimed to assess the gross motor developmental achievements and associated factors among children in rural India.Materials and Methods:A cross-sectional study was conducted with rural children in North India. A pretested questionnaire was used to collect the data. The median age at the time of the highest observed milestone was calculated and compared with the WHO windows of achievement.Results:Overall, 221 children aged 4–18 months were included in the study. The median age of motor development exhibited a 0.1–2.1-month delay compared to the WHO median age of motor milestone achievement. The prevalence of the gross motor milestone achievements for each of the six milestones ranged from 91.6% to 98.4%. Developmental delay was observed in 6.3% of the children. After adjusting for different variables, children with birth order of second or more were found to be significantly associated with the timely achievement of gross motor milestones.Conclusion:The apparently healthy children of the rural area of Haryana achieved gross motor milestones with some delay with respect to the WHO windows of achievement. Although the median value of this delay was low, awareness campaigns should be implemented to promote timely identification of children with development delays.

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“…A common finding was that lengthy waiting time for rehabilitation was related to such factors as delay in diagnosis (Ehrmann Feldman et al, 2005), lack of a definitive diagnosis (Bailey, Jr., Hebbeler, Scarborough, Spiker, & Mallik, 2004), older age of the child (Ehrmann Feldman et al, 2002), regional differences related to service availability (Ehrmann Feldman et al, 2002), and organizational factors at the rehabilitation centers (Perrin, 2002). Severity of the disability may be another factor influencing accessibility: physicians may be more apt to refer patients with more severe disabilities to rehabilitation (Campbell, Gardner, & Ramakrishnan, 1995), however if a child does not improve over a short period of time they may be denied access to rehabilitation by certain Health Maintenance Organizations (Fox et al, 1993).…”

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confidence: 99%