Designing new UK-WHO growth charts: implications for health staff use and understanding of charts and growth monitoring

Identifying underweight in infants and children using growth charts, lookup tables and a novel "MAMI" slide chart: A cross-over diagnostic and acceptability study

Malnutrition is a leading cause of preventable deaths in infants and children. To benefit from treatment and prevention programmes, malnourished children must first be identified. Low weight-for-age is an anthropometric indicator of malnutrition which is gaining much recent attention because it is particularly effective at identifying children at highest risk of death. However, assessing weight-for-age can be challenging. We aimed to evaluate a novel, low-cost weight-for-age slide chart and compare its performance against two traditional methods. We conducted a cross-over diagnostic study comparing a new "MAMI" slide-chart against traditional growth charts and look-up tables. Participants were health and public health professionals working or studying in the UK. Each acted as their own control, using all three methods but in random order. Under timed conditions, they evaluated hypothetical scenarios, arranged in a random sequence. Each tool's diagnostic accuracy and response rate were compared. User preferences were also recorded. Sixty-two participants took part. Diagnostic accuracy was highest for the MAMI chart: 79%(351/445) correct assessments. Accuracy using look-up tables was 70%(308/438). Growth charts performed worst: 61%(217/353) correct (p-value<0.01). The mean number of scenarios (±SD) correctly identified by each participant in 4-minutes was 3.5(±2.19) using growth charts; 4.97(±2.50) using look-up tables; 5.66(±2.69) using MAMI charts (ANOVA, p-value<0.01). This translates to approximately 53, 75 and 85 correct assessments per participant in an hour for the respective tools. No statistically significant differences were found with participants' years of experience or profession type. Most participants, 43/62(69%), preferred the MAMI chart and reported it to be easier and faster to use than traditional tools. We conclude that weight-for-age assessment is quicker and more accurate using the newly-developed MAMI slide chart as opposed to traditional methods. It should be further field tested in other settings since the potential to improve the efficiency and effectiveness of treatment programmes is great.

Primary healthcare professionals' role in monitoring infant growth: A scoping review

Excessive weight gain in infancy is an established risk for childhood obesity. Primary healthcare professionals have regular contact with infants and are well placed to monitor their growth. This review explores primary healthcare professionals' practice in monitoring growth for infants from birth to 2 years, addressing assessment methods, practitioner confidence and interventions for unhealthy weight gain. Reviewers searched four databases for studies of primary healthcare professionals working in high-income countries that reported on practice monitoring infant growth. Thirty-six eligible studies documented health professionals' practice with infants. While most clinicians regularly weighed and measured infants, some did not record measurements comprehensively. Growth monitoring occurred regularly during well-child visits but was less common during unscheduled visits. Some participants were less proficient at interpreting growth trajectories or lacked confidence in detecting excessive weight gain and in communicating concerns to parents. Few interventions addressed unhealthy growth among infants. Primary healthcare professionals require support to monitor growth trajectories effectively, to communicate appropriately with parents and to engage them in developing healthy behaviours early. Strategies are also required to monitor infants not regularly attending primary health care.

A Mobile App, KhunLook, to Support Thai Parents and Caregivers With Child Health Supervision: Development, Validation, and Acceptability Study

BACKGROUND

In Thailand, children born in government hospitals receive a maternal and child health handbook (MCHH). However, when a new MCHH edition is released, those with the previous editions do not have access to the updated information. A mobile app is an appealing platform to fill this gap. We developed a mobile app called "KhunLook" as an interactive electronic MCHH intended to assist parents in child health supervision.

OBJECTIVE

This study describes the user requirements and development of the KhunLook mobile app, validity of parents' growth assessments, and parents' evaluation of feasibility and acceptability of the app.

METHODS

Phase 1 was a qualitative study using individual interviews. The interview data were used to revise the prototype. In phase 2, parents were randomly assigned to assess their children's growth with the app or the MCHH. The outcomes were compared to those of the physician's assessment, and congruence was determined. In phase 3, parents evaluated the feasibility and acceptability of the app in comparison to the MCHH through a web-based survey.

RESULTS

Four health care providers and 8 parents participated in phase 1. Two themes were identified: (1) the mobile app potentially counters parents' infrequent use of the MCHH with accuracy, attractiveness, convenience, and simplicity, and (2) health supervision needs to be standard, up-to-date, and understandable. KhunLook was publicly launched with a family page and 7 key features: growth and nutrition, development, immunizations, oral health, reminders for the next appointment, memories, and health advice. In phase 2, 56 parents participated in the growth parameter assessments; 34 were in the App group and 22 in the MCHH group. The outcomes of the growth parameter assessments between parents and physicians in both the App and MCHH groups were not significantly different. The congruence proportions were higher in the App group for weight and head circumference, but the differences were not statistically significant. In phase 3, 356 parents from all over Thailand participated in a web-based survey. Parents rated the app feasibility as "very easy to easy" to use at higher proportions than the MCHH in all health assessment domains (growth, development, and immunizations) and ease-of-use domains with statistical significance (P<.001). The KhunLook app received a significantly higher mean score (8.59/10) than the MCHH (7.6/10) (P<.001). Most parents (317/356, 89.0%) preferred the app over MCHH. Further, 93.5% (333/356) of the parents stated that they would continue to use the app and 96.9% (345/356) would recommend others to use it.

CONCLUSIONS

KhunLook, a Thai mobile app for child health supervision, was developed, validated for growth assessments, and was well accepted for ease-of-use by parents. Further studies should be conducted with a large scale of users, and the impact of this app on health behaviors and health outcomes must be evaluated.

Person-Centered Care and Physical Therapy: A "People-Like-Me" Approach

In health care, "person centeredness" is a valued (though nebulous) concept. In physical therapy, clinical interactions often strive to be person-centered, for example, by focusing on participation and valuing patient empowerment. However, the available evidence has mostly been constructed around populations (or study samples) rather than individuals. In this perspective, an alternative evidence framework is described, constructed around measurements in routine practice. Specifically, the authors propose developing "people-like-me" reference charts, generated with historical outcomes data, to provide real-time information on an individual's status relative to similar people. The authors present an example of how this could work using their experience with people rehabilitating after total knee arthroplasty. They also describe several challenges that must be addressed to bring this innovation into practice. First, the most important outcome measures for stakeholders (eg, patients, clinicians) need to be identified and monitored longitudinally to ensure that "people-like-me" estimates are useful and support the goals of person-centered care. Statistical methods for selecting "people-like-me" need to be examined and refined. Finally, the "people-like-me" information needs to be packaged in such a way that it is accessible, intuitive, and helpful at the point of care. Ideally, the entire process should recognize from the outset that practice patterns evolve, so databases, statistical models, and decision tools should be dynamic by design. Ultimately, the authors propose this framework as a practical mechanism to advance person-centered decisions in physical therapy according to the ideals of evidence-based practice.

Prevalence of growth monitoring practice and its associated factors at public health facilities of North Gondar zone, northwest Ethiopia: an institution-based mixed study

BACKGROUND

Growth monitoring is used to assess the growth rate of a child by periodic and frequent anthropometric measurements in comparison to a standard. However, since the practice has been poor in Ethiopia, this study aimed to assess it and its associated factors among health workers in North Gondar zone, northwest Ethiopia.

METHODS

An institution-based mixed study was conducted from April 1 to May 7, 2017, among 500 health workers. The multistage sampling technique was used to select participants. A structured questionnaire was used to collect quantitative data, while non-participant observation and in-depth interviews were used to generate qualitative information. Qualitative data were coded, grouped, and discussed using the identified themes. A binary logistic regression was fitted, odds ratio with a 95% confidence interval was estimated to identify the predictors of growth monitoring practice, and qualitative data were analyzed using thematic analysis.

RESULTS

Growth monitoring practice among health workers was 50.4% (95% CI: 45, 55). Work experience (AOR = 4.27, 95%CI: 1.70, 10.72), availability of growth monitoring materials (AOR = 1.52, 95%CI: 1.05, 2.20), attitude (AOR = 0.68, 95%CI: 0.47, 0.98), midwifery occupation (AOR = 0.42, 95%CI: 0.19, 0.94), and diploma level qualification (AOR = 2.20, 95%CI: 1.09, 4.45) were statistically significantly associated with growth monitoring practice.

CONCLUSION

In this study, growth monitoring practice among health workers was lower than those of most studies. Jobs, educational status, work experience, attitude, and availability of materials were significantly associated with growth monitoring practices. Therefore, giving training to health extension and less experienced staff about growth monitoring, and providing growth monitoring equipment are important to improve health workers growth monitoring practices.

Calibration of confidence and assessed clinical skills competence in undergraduate paediatric OSCE scenarios: a mixed methods study

BACKGROUND

The relationship between confidence and competence in clinical skills development is complex but important. This study aims to determine undergraduate paediatric student confidence in performing three common paediatric clinical skills framed as Objective Structured Clinical Examination (OSCE) scenarios and to compare this with subsequent assessed performance. The study also aims to explore possible barriers to successful paediatric skills completion.

METHODS

A mixed-methods study was conducted on medical students. Cross-sectional questionnaire data relating to confidence in performing a number of paediatric skills were compared with assessed paediatric skills competency. Focus groups were carried out to identify themes in paediatric skills completion to triangulate this data.

RESULTS

Eighty-five medical students participated in the study. Students had high levels of pre-test confidence in their ability to perform paediatrics skills. However agreement between pre-test confidence and subsequent task performance was poor and students had significantly greater belief in their skills ability than was subsequently demonstrated. Focus groups identified paediatric skills complexity, conflicting teaching and having limited supervised skills opportunities and as being possible contributory factors to this discrepancy.

CONCLUSIONS

Student paediatric skills confidence is not matched by performance. The reasons for this are diverse but mostly modifiable. A major factor is the lack of supervised skills experience with appropriate feedback to support students in learning to calibrate their confidence against their competence. A number of recommendations are made including the introduction of formative assessment opportunities.

Practices and challenges of growth monitoring and promotion in ethiopia: a qualitative study

The use of growth monitoring and promotion (GMP) has become widespread. It is a potential contributor towards achieving the Millennium Development Goals of halving hunger and reducing child mortality by two-thirds within 2015. Yet, GMP appears to be a prerequisite for good child health but several studies have shown that there is a discrepancy between the purpose and the practice of GMP. The high prevalence of malnutrition in many developing countries seems to confirm this fact. A descriptive qualitative study was carried out from April to September 2011. Focus group discussions and in-depth interviews were conducted amongst mothers and health workers. Data were analyzed using a qualitative content analysis technique, with the support of ATLAS.ti 5.0 software. The results suggest that most mothers were aware of the need for regular weight monitoring while health workers also seemed to be well-aware and to practise GMP according to the international guidelines. However, there was a deficit in maternal knowledge with regard to child-feeding and a lack of basic resources to keep and/or to buy healthful and nutritionally-rich food. Furthermore, the role of the husband was not always supportive of proper child-feeding. In general, GMP is unlikely to succeed if mothers lack awareness of proper child-feeding practices, and if they are not supported by their husbands.

Diagnosing childhood undernutrition and accuracy of plotting growth charts in Kenya

This study surveyed how healthcare workers (HCW) in Kenya diagnose childhood undernutrition and growth chart plotting accuracy. HCW (39) actively involved in growth monitoring completed questionnaires that included plotting of weights at ages 2, 6 and 9 months using the Kenyan road to health chart (RTH). The most commonly used measure for identifying undernutrition was weight for age collected at a single visit. Weights tended to be plotted higher than the true value, with 27 (69%) respondents plotting more than ±0.5 kg from the true value at 9 months. At 2 months 15% plotted age more than ±2 weeks from the true value, 23% at 9 months. Health workers in this local pilot study showed very poor plotting accuracy and low use of serial measurements to identify undernutrition. There is a need to improve the design of the RTH chart as well as education on chart use.

Reappraisal of Regional Growth Charts in the Era of WHO Growth Standards

After the WHO Growth Standards (WHOGS) was published in 2006, many countries in the world endorsed and adopted the new growth references as a standard measure for the growth of infants and young children. Certainly, the WHOGS has an impact on the global policy about obesity and underweight in children. Such WHOGS innovation has influenced many regional health authorities and academies, which have managed their own growth charts for a long time, in changing their strategies to develop and use regional growth charts. In Korea, along with the tradition to create a national growth chart every decade, we now face a new era of advancing with the WHOGS.

A chart to predict adult height from a child's current height

BACKGROUND

A child's adult height is commonly predicted using their target height, based on mid-parent height. However, if no growth disorder is suspected, the child's current height is a far better predictor of their adult height.

AIM

To develop a chart to predict a child's adult height from their current height, adjusting for regression to the mean.

SUBJECTS AND METHODS

Data from the First Zurich Longitudinal Growth Study provided correlations between child height and adult height by age and sex, for use in a regression model predicting adult height centile from child height centile. The model was validated using data from the British 1946 and 1958 birth cohorts.

RESULTS

The chart is illustrated superimposed on the British 1990 boys height chart. The predicted height has a standard error of 4-5 cm for ages from 4 years to puberty in both sexes. The regression adjustment partially compensates for biased predictions in early and late developers in puberty. A simplified version of the chart for restricted age ranges is also shown, as used on the UK-WHO 0-4 years growth charts.

CONCLUSION

The height prediction chart should be of value for parents, and indirectly professionals, to predict adult height in their children.