scholarly journals Agreement and Reliability of Parental Reports and Direct Screening of Developmental Outcomes in Toddlers at Risk

2021 ◽  
Vol 12 ◽  
Author(s):  
Juan Giraldo-Huertas ◽  
Graham Schafer
Keyword(s):  
At Risk ◽  
Low Income ◽  
Screening Tool ◽  
Screening Tools ◽  
Developmental Screening ◽  
Characteristic Analysis ◽  
Low Income Families ◽  
Developmental Domains ◽  
Not At Risk ◽  
At Home

Developmental screening is a practice that directly benefits vulnerable and low-income families and children when it is regular and frequently applied. A developmental screening tool administered by parents called CARE is tested. CARE contains a compilation of activities to report and enhance development at home. Hundred and fifty-seven families in Bogotá (Colombia) initially responded to a call to participate in developmental screening tools’ validation and reliability study. All children (Average: 42.7 months old; SD: 9.4; Min: 24, Max: 58) were screened directly by trained applicants using a Spanish version of the Denver Developmental Screening test [i.e., the Haizea-Llevant (HLL) screening table]. After a first screening, 61 dyads were positive for follow-up and received a second HLL screening. Fifty-two out of 61 dyads use and returned CARE booklet after 1-month screening at home. The comparative analysis for parent reports using CARE and direct screening observation included (a) the effects of demographic variables on overall and agreement, (b) agreement and congruence between the CARE report classification and direct screening classification (“At risk” or “Not at risk”), (c) receiver operating characteristic analysis, (d) item-Level agreement for specific developmental domains, and (e) acceptability and feasibility analysis. Results and conclusions show the parental report using the CARE booklet as a reliable screening tool that has the potential to activate alerts for an early cognitive delay that reassure clinicians and families to further specialized and controlled developmental evaluations and act as a screen for the presence of such delay in four developmental dimensions.

scholarly journals Studi komparasi beberapa metode skrining penilaian status gizi pada pasien dewasa rawat inap rumah sakit

2017 ◽  
Vol 14 (2) ◽  
pp. 64 ◽  
Author(s):  
Rizki Andini ◽  
Susetyowati Susetyowati ◽  
Dian Caturini Sulistyoningrum
Keyword(s):  
At Risk ◽  
Screening Tool ◽  
Risk Group ◽  
Mean Difference ◽  
Screening Tools ◽  
Nutrition Screening ◽  
Nrs 2002 ◽  
The Mean ◽  
Nutrition Screening Tool ◽  
Not At Risk

Background: It is necessary to diagnose level of malnutrition in hospitalized patient to give optimal nutrition support. Many different nutrition screening assessment have been developed. In Indonesia, Simple Nutrition Screening Tool (SNST) that had been used in same hospital and the result was good enough in validity-realibility.Objective: To assessed that SNST were simple and practical nutrition screening tool for detecting level of malnutrition in different type of hospitalized patient.Method: Observational cross-sectional design with total of sampling two hundred and eighty seven adult patients from 2nd and 3rd class of surgical, internal, or neurology ward of RSUD Sleman. Independent variables are SNST, Nutritional Risk Screening (NRS) 2002, Malnutrition Screening Tool (MST), and Malnutrition Universal Screening Tool (MUST). Dependent variables are Subjective Global Assessment (SGA), body mass index (BMI), mid upper arm circumference (MUAC), and hemoglobin (Hb). Receive Operating Curve (ROC) were used for measuring validity of each screening tools. The proportion difference between at-risk group and not at-risk group was assessed by Chi-square test. The mean difference of BMI, MUAC, and Hb between both of group was assessed by independent sample t-test.Results: SNST has highest validity compared to NRS-2002, MST, and MUST with Sensitivity 99,0%, Specificity 84,5 and Area Under Curve (AUC) 0,917. Based on SNST, the proportion difference of at-risk group and not at-risk group between surgical patients and internal-neurology patients was statistically significant (p<0,05); the proportion difference of at-risk group and not at-risk group between young adult, adult, and elderly patients was statistically significant (p<0,05); the mean difference of BMI, MUAC, and Hb between at-risk group and not at-risk group was also statistically significant (p<0,05).Conclusion: All of the nutrition screening tools can be used as predictor of malnutrition in hospitalized patients but, the SNST has the best validity as a nutrition screening to predict malnutrition.

scholarly journals The LEAF questionnaire is a good screening tool for the identification of the Female Athlete Triad/Relative Energy Deficiency in Sport among young football players

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12118
Author(s):  
Edyta Łuszczki ◽  
Pawel Jagielski ◽  
Anna Bartosiewicz ◽  
Maciej Kuchciak ◽  
Katarzyna Dereń ◽  
...  
Keyword(s):  
At Risk ◽  
Body Composition ◽  
Energy Intake ◽  
Female Athlete ◽  
Relative Energy ◽  
Screening Tools ◽  
Football Players ◽  
Female Athlete Triad ◽  
Energy Deficiency ◽  
Not At Risk

Background It has been noticed that Female Athlete Triad (Fat) and Relative Energy Deficiency (Red-S) in Sport are characterized by the symptoms of impaired endocrine-metabolic function and bone health in female athletes. In addition, it may be evaluated with a qualitative tool, such as Low Energy Availability in Females questionnaire (LEAF-Q) and quantitative measurements: bone mineral density (BMD), resting energy expenditure (REE), body composition, 24-hour dietary recall. Methods The aim of this study was to assess the prevalence of Triad and Red-S using the LEAF-Q in youth female football players. Additionally, the difference in the BMD, body composition, REE and energy intake (EI) were assessed between the Triad/Red-S risk and not at-risk groups. Results Almost two thirds (64.7%) of participants are classified as being at-risk for the triad according to their LEAF-Q scores. There were no statistically significant differences (p > 0.05) between most of the values among children from the analyzed groups. There was a statistically significant difference (p < 0.001) between the EI values among girls from the two analyzed groups: at-risk (1,773.18 kcal ±  232.57) and not at-risk (2,054.00 kcal ±  191.39). Girls who did not meet the energy intake recommendations were 10.00 as likely to be in the Triad/Red-S risk group. Conclusion Early identification of Fat/Red-S symptoms by screening tools such as the LEAF questionnaire is important in protecting young athletes from long-term damage due to the progression of the risk factors associated with the Fat/Red-S.

scholarly journals Cardiorespiratory Polygraphy for Detection of Obstructive Sleep Apnea in Patients With Atrial Fibrillation

2021 ◽  
Vol 8 ◽  
Author(s):  
Michiel Delesie ◽  
Lieselotte Knaepen ◽  
Johan Verbraecken ◽  
Karolien Weytjens ◽  
Paul Dendale ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Automated Algorithm ◽  
Obstructive Sleep ◽  
At Home

Background: Obstructive sleep apnea (OSA) is a modifiable risk factor of atrial fibrillation (AF) but is underdiagnosed in these patients due to absence of good OSA screening pathways. Polysomnography (PSG) is the gold standard for diagnosing OSA but too resource-intensive as a screening tool. We explored whether cardiorespiratory polygraphy (PG) devices using an automated algorithm for Apnea-Hypopnea Index (AHI) determination can meet the requirements of a good screening tool in AF patients.Methods: This prospective study validated the performance of three PGs [ApneaLink Air (ALA), SOMNOtouch RESP (STR) and SpiderSAS (SpS)] in consecutive AF patients who were referred for PSG evaluation. Patients wore one of the three PGs simultaneously with PSG, and a different PG during each of three consecutive nights at home. Severity of OSA was classified according to the AHI during PSG (&lt;5 = no OSA, 5–14 = mild, 15–30 = moderate, &gt;30 = severe).Results: Of the 100 included AF patients, PSG diagnosed at least moderate in 69% and severe OSA in 33%. Successful PG execution at home was obtained in 79.1, 80.2 and 86.8% of patients with the ALA, STR and SpS, respectively. For the detection of clinically relevant OSA (AHI ≥ 15), an area under the curve of 0.802, 0.772 and 0.803 was calculated for the ALA, STR and SpS, respectively.Conclusions: This study indicates that home-worn PGs with an automated AHI algorithm can be used as OSA screening tools in AF patients. Based on an appropriate AHI cut-off value for each PG, the device can guide referral for definite PSG diagnosis.

scholarly journals Assessing Diet Quality of People with Parkinson's Disease: Dietary Screening Tool Versus HEI-2015

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 517-517
Author(s):  
Sarah Dobiszewski ◽  
Leslie Mahler ◽  
Ingrid Lofgren
Keyword(s):  
Parkinson’S Disease ◽  
At Risk ◽  
Parkinson's Disease ◽  
Diet Quality ◽  
Screening Tool ◽  
Healthy Eating Index ◽  
Assessment Tools ◽  
Nutritional Risk ◽  
Not At Risk

Abstract Objectives To assess the diet quality of people with Parkinson's Disease (PwPD) using two assessment tools: Healthy Eating Index (HEI)-2015 and the Dietary Screening Tool (DST). HEI-2015 and DST scores were compared for alignment to explore associations between HEI-2015 and DST total scores and sub-scores. Methods This secondary data analysis utilized a total of 28 participants from two studies examining PwPD and their informal caregivers. Dietary data was collected with two 24-hour recalls using the multiple pass method and entered into the Nutrition Data System for Research (NDSR). SAS Version 9.4 was used to compute HEI-2015 scores to assess diet quality. The HEI-2015 score is a total of 100 points and is based on the Dietary Guidelines for Americans for 2015–2020. Total HEI-2015 scores and 13 component scores were interpreted using the graded approach (grades A-F). Radar graphs provide a visual representation. Participants also completed the DST. The DST is a 25-item questionnaire used to identify dietary patterns and assess nutritional risk. Total scores were categorized into at risk &lt;60, possibly risk 60–75, and not at risk &gt;75. Sub-scores were calculated with point classifications for specific food categories. These sub-scores were divided into tertials of recommended intakes less than 50%, 50–80% and 80–100%, and compared for alignment between DST sub-scores and HEI-2015 sub-scores by assessing total number of pairs per category. Results The mean total score was 59.4 ± 28.6 for DST and 58.7 ± 22.2 for HEI-2015. HEI-2015 scores fell into grades of A (n = 0) B (n = 3) C (n = 3) D (n = 7) F (n = 14). PwPD who were categorized at risk from the DST scores (n = 18) received an HEI grade of D/F. PwPD who were at possible risk (n = 7) received a grade of B/C/D. PwPD who were not at risk (n = 3) received a grade of B/C/D for sub-scores, vegetable intake had a 50% alignment in scores, fat/sugar 43% alignment, whole grains and dairy 46% alignment and fruit 39% alignment. Conclusions There appeared to be partial alignment between the total HEI-2015 scores and DST nutritional risk scores. Sub-scores differ 50% of the time. Due to differences between the assessment tools, more research is needed to validate the DST in PwPD as this can be a less taxing assessment compared with 24-hour recalls. Funding Sources There was no external funding for this study.

scholarly journals Parents as Partners: A U.K. Trial of a U.S. Couples-Based Parenting Intervention For At-Risk Low-Income Families

2017 ◽  
Vol 56 (3) ◽  
pp. 589-606 ◽  
Author(s):  
Polly Casey ◽  
Philip A. Cowan ◽  
Carolyn P. Cowan ◽  
Lucy Draper ◽  
Naomi Mwamba ◽  
...  
Keyword(s):  
At Risk ◽  
Low Income ◽  
Parenting Intervention ◽  
Low Income Families

Making It Through the First Year of College: The Role of Students' Economic Resources, Employment, and Living Arrangements

2007 ◽  
Vol 80 (3) ◽  
pp. 261-285 ◽  
Author(s):  
Robert Bozick
Keyword(s):  
Low Income ◽  
Living Arrangements ◽  
Economic Resources ◽  
First Year ◽  
Work Experiences ◽  
First Year College ◽  
First Year Of College ◽  
Low Income Families ◽  
First Year College Students ◽  
At Home

Using data from the Beginning Postsecondary Students Longitudinal Study of 1996, this article explores the effect of economic resources on the paid work experiences and living arrangements of first-year college students. Students from low-income families are more likely to work for school-related expenses and to live at home during the first year of college—cost-saving strategies that, in some cases, impede their chances of continuing into the second year. Students who work more than 20 hours a week and who live at home are more likely to leave school during the first year than are those who work 20 hours a week or less and who reside on campus. Employment and living arrangements both play a strong role in shaping the transition to college, beyond background characteristics and academic preparation.

scholarly journals Usability and Acceptability of a Text Message-Based Developmental Screening Tool for Young Children: Pilot Study (Preprint)

2018 ◽  
Author(s):  
Pamela Ryden Johnson ◽  
Jessica Bushar ◽  
Margaret Dunkle ◽  
Sharon Leyden ◽  
Elizabeth T Jordan
Keyword(s):  
Focus Groups ◽  
Low Income ◽  
Screening Tool ◽  
Text Message ◽  
Text Messages ◽  
Developmental Screening ◽  
Screening Questions ◽  
Low Income Mothers ◽  
Developmental Screening Tool

BACKGROUND Only 30% of parents of children aged 9-35 months report that their child received a developmental screening in the previous year. Screening rates are even lower in low-income households, where the rates of developmental delays are typically higher than those in high-income households. Seeking to evaluate ways to increase developmental screening, Text4baby, a national perinatal texting program, created an interactive text message-based version of a validated developmental screening tool for parents. OBJECTIVE This study aimed to assess whether a text message-based developmental screening tool is usable and acceptable by low-income mothers. METHODS Low-income mothers of infants aged 8-10 months were recruited from the Women, Infants and Children Program clinics in Prince George’s County, MD. Once enrolled, participants used text messages to receive and respond to six developmental screening questions from the Parents’ Evaluation of Developmental Status: Developmental Milestones. After confirming their responses, participants received the results and feedback. Project staff conducted a follow-up phone survey and invited a subset of survey respondents to attend focus groups. A representative of the County’s Infants and Toddlers Program met with or called participants whose results indicated that their infants “may be behind.” RESULTS Eighty-one low-income mothers enrolled in the study, 93% of whom reported that their infants received Medicaid (75/81). In addition, 49% of the mothers were Hispanic/Latina (40/81) and 42% were African American (34/81). A total of 80% participated in follow-up surveys (65/81), and 14 mothers attended focus groups. All participants initiated the screening and responded to all six screening questions. Of the total, 79% immediately confirmed their responses (64/81), and 21% made one or more changes (17/81). Based on the final responses, 63% of participants received a text that the baby was “doing well” in all six developmental domains (51/81); furthermore, 37% received texts listing domains where their baby was “doing well” and one or more domains where their baby “may be behind” (30/81). All participants received a text with resources for follow-up. In a follow-up survey reaching 65 participants, all respondents said that they would like to answer screening questions again when their baby was older. All but one participant would recommend the tool to a friend and rated the experience of answering questions and receiving feedback by text as “very good” or “good.” CONCLUSIONS A mobile text version of a validated developmental screening tool was both usable and acceptable by low-income mothers, including those whose infants “may be behind.” Our results may inform further research on the use of the tool at older ages and options for a scalable, text-based developmental screening tool such as that in Text4baby.

scholarly journals Assessing dinner meals offered at home among preschoolers from low‐income families with the Remote Food Photography Method

2019 ◽  
Vol 14 (11) ◽  
Author(s):  
Traci A. Bekelman ◽  
Laura L. Bellows ◽  
Morgan L. McCloskey ◽  
Corby K. Martin ◽  
Susan L. Johnson
Keyword(s):  
Low Income ◽  
Low Income Families ◽  
Food Photography ◽  
Photography Method ◽  
At Home

scholarly journals P131: Emergency department falls risk management screening tool comparison

CJEM ◽  
2016 ◽  
Vol 18 (S1) ◽  
pp. S121-S122
Author(s):  
R. Tomlinson ◽  
T. Yokota ◽  
P. Jaggi ◽  
C. Kilburn ◽  
D. Bakken ◽  
...  
Keyword(s):  
At Risk ◽  
Emergency Department ◽  
Risk Management ◽  
Fall Risk ◽  
Screening Tool ◽  
Assessment Tool ◽  
Tertiary Care ◽  
Screening Tools ◽  
Procedural Sedation ◽  
Patients At Risk

Introduction: Emergency Department (ED) fall risk screening has been newly implemented in Alberta based on Accreditation Canada requirements. Two existing inpatient tools failed to include certain ED risk conditions. One tool graded unconsciousness as no risk for falling, and neither considered intoxication or sedation. This led to the development of a new fall risk management screening tool, the FRM (Tool1). This study compared Tool1 with inpatient utilized Schmid Fall Risk Assessment Tool (Tool2) and the validated Hendrich II Fall Risk Model (Tool3). Methods: Patients (≥17 years old) in a tertiary care adult ED with any of the following; history of falling in the last 12 months, elderly/frail, incontinence, impaired gait, mobility assist device, confusion/disorientation, procedural sedation, intoxication/sedated, or unconscious were included. Forms were randomized to score patients using different paired screening tools: Tool1 paired with either Tool2 or Tool3. Percent agreement (PA) between the tools based on identification of a patient at either risk/no risk for falling; higher PA indicating more tool homogeneity. Results: A total of 928 screening forms were completed within our 8-week study period; 452 and 443 comparing Tool1 to Tool2 and Tool1 to Tool3, respectively. Thirty-two forms included only Tool1 scores, excluding them from comparative analysis. The average patient age (n=895) was 64.8±21.4 years. Tool1 identified 66.4% of patients at risk, whereas Tool2 and Tool3 identified only 19.2% and 31.4%, respectively. Tool1 and 2 had a PA of 50.2%, whereas Tool1 and Tool3 had a PA of 65.9%. Conclusion: The FRM tool had higher agreement with the validated assessment tool, identifying patients at risk for falling but better identified patients presenting with intoxication, need for procedural sedation and unconsciousness. The other tools generally miss these common ED conditions, putting these patients at risk. Validation and reliability assessments of the FRM tool are warranted.

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