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Occupational Therapy International
Volume 2018, Article ID 8967572, 7 pages
https://doi.org/10.1155/2018/8967572
Review Article

Evidence-Based Clinical Algorithm for Hypotonia Assessment: To Pardon the Errs

School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa

Correspondence should be addressed to Pragashnie Govender; az.ca.nzku@gpoodian

Received 3 June 2017; Accepted 19 March 2018; Published 24 April 2018

Academic Editor: Lynette Mackenzie

Copyright © 2018 Pragashnie Govender and Robin Wendy Elizabeth Joubert. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Despite the many advances in diagnostics, the clinical assessment of children with hypotonia presents a diagnostic challenge for clinicians due to the current subjectivity of the initial clinical assessment. The aim of this paper is to report on an evidence-based clinical algorithm (EBCA) that was developed for the clinical assessment of hypotonia in children as part of the output of a multiphased study towards assisting clinicians in more accurate assessments. This study formed part of a larger advanced mixed methods design. The preceding phases of the study included a systematic review, a survey amongst clinicians, a consensus process (Delphi technique), and a qualitative critique with multiple focus groups. Samples were drawn from three professional groups (occupational therapists, physiotherapists, and paediatricians). Data were analysed at each stage and merged in the development of the EBCA. The EBCA followed a rigorous process of development and critique. The methods for formulating changes in the revision and development of the EBCA are presented together with a description and presentation of the final algorithm for practice. The overarching concepts that guided the development and refinement of the EBCA are described, taking into consideration knowledge translation, evidence-based practice, and the value of EBCAs in addition to recommendations for stakeholder uptake. The EBCA is envisaged to be useful in practice for clinicians who are faced with the assessment of a child that is suspected as having hypotonia via a systematic process in identifying specific characteristics that are associated with low muscle tone.

1. Introduction

1.1. To Err Is Human

With the advent of this millennium came the realisation that to err is human. The Institute of Medicine’s (IOM) provocative report in 2000 [1] fundamentally changed the course of how the world configured health and quality of care. Altman et al. [2] characterised this report, at the time, as the most influential health care publication in the preceding two decades. Now, a decade and half has since passed and there have been tremendous efforts at improving health care internationally. Fortunately, this has been no different in the field of child neurology. In the last two decades, child neurology has experienced significant progress, especially within the fields of genetics, molecular neurobiology, and neuroimaging diagnostic techniques [3]. As this IOM report [1] sparked issues around medical errors and patient safety, the paediatric scientific community continued to work towards efforts of early detection and early intervention in children with neurological conditions to ensure the quality of care as advocated for by this report.

1.2. Advocating for Accurate Assessment towards Quality Care in Hypotonia

In this paper, the authors report on attempts in ensuring this quality of care and in advocating for a reduction in clinical assessment error in children who present with hypotonia, a symptom of an array of neurological and genetic conditions. Despite the many advances in diagnostics, the clinical assessment of infants with the symptom of hypotonia cannot be overstated. The hypotonic child often presents as a diagnostic challenge for clinicians [4, 5] due to the current subjectivity of the initial clinical assessment of hypotonia. Establishing an accurate diagnosis is thus essential in prognosis and management and in appropriate intervention strategies. Differentiating the likely causes of hypotonia is important in sparing some infants and children from invasive diagnostic tests such as muscle biopsies. In genetic cases it is important to reach the accurate diagnosis so that counseling may be undertaken. The array of diagnoses to consider is increasingly challenging; the severity is variable and is dependent on the underlying causes and thus a careful and thorough approach is necessary [46]. The severity and progression of hypotonia vary with each child and their diagnosis. Notwithstanding the underlying cause and progression, authors of papers on evaluation of hypotonia often reiterate the challenge in its assessment as it may be the sign of both nonthreatening and serious conditions [7, 8]. Authors also indicate that often, despite a thorough workup, a diagnosis cannot be established [5] reiterating that this should however not compromise management. Moreover, the frequency of hypotonia and potential improvements with therapy [9] necessitates the need for more accurate and standardized measures [6]. The future of the floppy infant was cited in literature over the last century [10, 11]. Confusion in terminology related to hypotonia was cited in these papers at that stage and continued to be a contentious diagnosis and somewhat erroneous clinical concept over the ensuing years [12]. Contention over the clinical assessment and use of terms continue to be debated into this century [5, 6, 1315], leaving the clinical assessment of hypotonia open to scrutiny in addition to potential for errors.

1.3. Paradigmatic Proposals and EBCAs towards Reducing Human Error

To revisit this notion of to err is human; authors in the last decade have made attempts towards the goal of improving quality of healthcare delivery and towards patient safety. Karsh et al. [16] proposed three broad categories of paradigms towards reducing human error in tackling these goals. These include (i) focussing on reducing healthcare professional errors; (ii) focus on reducing patient injuries; and (iii) focus on the use of evidence-based medicine. The authors in this paper position the possibility of evidence-based clinical algorithms (EBCAs) as an opportunity to respond to aspects (i) and (iii) as described in this study. There is evidence in the literature to indicate that the use of care pathways, algorithms, and practice guidelines, in clinical research, will help in standardizing care and provide the necessary requirements for effective diagnostic and counseling interventions [17, 18]. More recent research [19, 20] reiterates the value of evidence-based standards such as algorithms, care pathways, and clinical practice guidelines in guiding patient care.

1.4. Acknowledging the Limitation of Uncertainty in Healthcare

Whilst we embrace this position in reducing error, the concept of uncertainty in healthcare cannot be excluded. Hammond [21] advises that clinicians have lived and will continue to live in situations of complex uncertainty in diagnosis, prognosis, and therapy, undeniably in all aspects of the health care process. Hippocrates highlighted that the “art of medicine” lay in understanding the limits of certainty (ars longa, vita brevis) which Van Crevel [22] loosely translates as “you will never see and treat enough cases to avoid every error in your practice” [22]. Central to this concept of uncertainty is this search for truth. It is thus important to state at this point the authors’ position in this study. We leaned towards ontological pluralism, with the realisation that multiple perspectives about complex phenomena can be true, which in this case was the approach to the clinical assessment of hypotonia in children. We acknowledged reality to be what was useful and practical and what works [23] and in keeping within a pragmatic interpretive framework. We held the notion that there are multiple routes to knowledge and used the tools of research that reflected both deductive (objective) evidence and inductive (subjective) evidence [23].

1.5. Contribution of This Study to Taming This Uncertainty

Research and progress in the area of childhood disability have been seriously lagging, particularly in low- and middle-income countries [28]. Due to the improvements in neonatal care and an associated decrease in perinatal mortality, the number of infants who are at risk for developmental problems is gradually increasing [29, 30]. Despite the gains in reducing child mortality with the advent of the Millennium Development Goals (MDGs), specifically goal four [31], which has now come to an end, the ability to predict developmental outcome is still considered difficult. Part of this is attributed to the characteristics of the developing nervous system because the continuous developmental changes of the brain during infancy and childhood can lead to a disappearance of signs of dysfunction present at an early age. The converse is true where children can be free from signs of dysfunction and deficits become evident with increasing age due to the age-related complexity of neural functions [29]. In this study we thus aimed to allow clinicians, as Watkins [32] expresses, “to take responsibility not only for handling difficult situations but, in particular, for managing the uncertainties which feature in so many clinical encounters.” We present the output of a multiphased study in the form of an EBCA towards assisting clinicians towards more accurate decisions in approaching the clinical assessment of hypotonia in children.

2. Material and Methods

This study followed an advanced mixed methods design [33]. By using a systematic process of collecting evidence from both the literature and clinicians in the field, the development of an EBCA to aid practitioners in the clinical assessment of hypotonia in children was realised. The preceding phases of this larger study are described in other papers [2427]. The final product, an evidence-based clinical algorithm for the clinical assessment of hypotonia in children, is presented in this paper. Ethical approval was granted by a Biomedical Ethics Committee prior to commencement.

3. Results

Figure 1 describes the EBCA following a rigorous process of development and critique. The methods for formulating changes in the revision and development of the EBCA are presented together with a description and presentation of the final algorithm for practice.

Figure 1: EBCA for the clinical assessment of hypotonia in children.
3.1. Identification of Aspects in the Initial Prototype of the EBCA That Required Revision

Feedback from the critique [27] was used to refine the clinical algorithm presented in preparation for clinical use. Areas that emerged as essential following the critique were centred around inadequacies, misconceptions, and omissions of the algorithm, strengths, clinical use and enablers for implementation, barriers to implementation and resource implications, and appearance and flow as well as general recommendations. The following was noted.

Issues around what constitutes abnormality, the concept of hypotonia with or without weakness, and the extent and location of tone were indicated as misconceptions. Intervention loops, hypotonia terminology, and quantification (descriptors) were raised as misleading aspects. It also emerged that the provision of a guideline may assist clinicians with a wide array of experience. The use of a universal terminology was reiterated to aid communication. Clarity was required as to whether the EBCA forms part of a “clinician’s toolkit”; there remained some issues around the unfamiliarity with the ICF taxonomy, and questions were raised around how clinicians will be orientated or trained in the use of the algorithm. With respect to flow and appearance, clinicians questioned what constituted a critical finding, suggesting the use of the words as misleading. Requests for simplified terminology, descriptions of terms, and explanations for the more inexperienced clinicians were also indicated. In terms of the design aspects, inclusion of colour was encouraged (although initially restricted to monochrome due to the resource implications of a polychrome EBCA). Arrows were requested to be bolder to stand out and a simpler flow was encouraged so as to not confuse the assessor. Enablers included having the algorithm remain as a paper-based option as opposed to an electronic option with a pocket and larger version being available for use.

3.2. Technical Report and Revisions to the EBCA

In an attempt to address some of the issues raised by clinicians in stage five (critique of the EBCA), a technical report to accompany the EBCA was deemed necessary. A summary of aspects included in the technical report is presented in Table 1. Guidelines are disseminated to encourage high quality care and not as a means towards establishing an identity for a particular professional group or specialty nor are they expected to be exclusionary. Thus, the technical report that accompanies the algorithm clarifies the scope and purpose for intended users, in addition to stakeholder involvement and the development process.

Table 1: Description of changes made to the initial prototype of the EBCA.

In order to address the issues around the clarity of presentation, the following was ensured [refer to Figure 1]. Descriptors have been included (with a prompt to the key with explanations) within the algorithm ranging from “no impairment” to “complete” with the inclusion of a “not specified” category, as described in the ICF [34]. Intervention loops have been rearranged to address the confusion that had been experienced in the prototype. These have clear monodirectional options. Issues around terminology have been addressed by the inclusion of a glossary within the technical report as well as a change from “critical finding” to “significant finding” that appeared misleading in the initial prototype. Additional process boxes have been included under each of the clinical criteria with a prompt (question) as well as space to document the findings. A section for notes and identifying data of the child is presented. Red flags are prompted throughout the algorithm. Arrows have been amended to flow through each process (also included for checklist boxes) so that the user is not lost (given that the ISO norms for development of algorithms have been adhered to).

Use of colour and coding has been included to visually aid the user. Arrows have been made bolder and checklist boxes have been positioned differently to look more aesthetically pleasing and less confusing. The algorithm has been formatted for legible print on both A4 and larger options.

3.3. Progression of the Revised EBCA

From the symbol START, a history via an interview is indicated with a checklist flowing through a prompt for identification of red flags from the history taking. The process then flows into a continuous loop for the clinical characteristics beginning with posture and ending with reflexes. As part of the progression, a question to aid a decision has been included to prompt the assessor, and a red flag box is available for the result to be inserted. Within each of the presented characteristics, the preferred test and method are included in parenthesis. In the initial prototype the algorithm proceeded with clinical characteristics that were represented within decision symbols in which a binary decision (yes or no) had to be made. Following the critique it was evident that, in order for the process to be complete and comprehensive, a clinician should go through each of the items (in no order of priority) and hence these are represented linearly as opposed to hierarchically (initial prototype). Following the assessment of specific criteria and tests, the process flows to a process symbol, prompting a consideration of findings and rating of body structure impairment. At this stage the clinician is able to then quantify the extent of the impairment and location, indicated as process boxes with the inclusion of the key to aid the decision. There are additional process boxes prompting the user to describe these further. This then leads into the activity and participation decision symbol with a checklist and prompt to utilize the key that has been provided. The user is prompted to indicate whether there is an overall impairment in a binary decision box. If yes, the user makes a decision as to whether discipline specific intervention is required and is returned to the red flag box that considers a team approach by consideration of what other investigations or interventions may be required. If a referral is recommended, the user is prompted to provide details including identified red flags and a plan for follow-up. If no, the process ends.

4. Discussion

Several conceptual aspects have informed our efforts in the development of the EBCA that is described in this paper. Firstly, the authors recognise the knowledge translation (KT) gap that exists between the current care that children receive (assessment of hypotonia) and the evidence available to guide the processes involved in this care [24]. Graham et al. [35] postulated that often patients are denied interventions of proven benefit due to the time taken for research to be incorporated into practice, a sentiment also echoed by researchers in developing countries [36]. In this study, the authors were cognisant of knowledge translation (KT) as being an effective process in closing the gap between researchers and practitioners, knowing full well that innovative approaches to KT designed for different environments are emerging to address evolving knowledge about special clinical populations. As such this study may be a starting point towards KT in an acceptable and user-friendly manner in the clinical field of paediatrics in the form of an EBCA for practice in hypotonia assessment. Whilst practitioners were involved in the development of this algorithm, it may prove useful for inclusion of parents and caregivers in the appraisal of the algorithm for comment on the child’s participation in daily occupations as well as on daily routines that are influenced by hypotonia.

Secondly, embracing evidence-based healthcare was essential in the development of this EBCA whilst also realising the value of practitioner knowledge. Although evidence-based healthcare has gained acceptance globally, it remains complex and is sometimes misunderstood. Pearson et al. [37] suggest that sources of evidence accessed by practitioners, regardless of its nature (numerical, qualitative, or anecdotal) or its focus (feasibility, appropriateness, meaningfulness, or effectiveness) inevitably influences healthcare practice in all disciplines. In this study, the authors relied on both the available scientific evidence and practitioner knowledge in contributing to the EBCA for hypotonia assessment. The etymology of the word “evidence” is rooted in the concept of experience, relating to what is apparent and obvious [38]. Thus nonpropositional knowledge or tacit knowledge of professionals [3840] in addition to propositional knowledge derived from research and scholarship [41] was combined in this study. Inevitably, the authors’ attempts have thus resulted in a broader evidence base for practice in the assessment of hypotonia, being realised by an EBCA that has been coherently and sensibly merged to work in the real time of practice. Evidence from a consensus process was embedded within the algorithm with links between recommendations and supporting evidence being explicitly stated in each of the stages of the study to demonstrate the practitioner inputs.

Thirdly, the authors acknowledge that although algorithms are widely used to display logic of diagnosis and management, they have not been taken seriously as a clinical practice standard [18, 19]. Formulation of evidence-based algorithms are said to be an increasing practice in both scientific papers and text books; however their usefulness is questioned, as many of the authors are found not to adhere to the formal requirements [42, 43]. Within this study, the authors have attempted to maintain the basic formal requirements. It has been suggested that methods for writing clinical algorithms that represent expert consensus be sought in practice. This has been fulfilled within this study, as a Delphi process in stage three had assisted in reducing the clinical characteristics and tests initially identified [25] via an expert panel [26]. Thus, items (e.g., clinical characteristics and methods and tests) that appear within the algorithm have not been randomly assigned but are rather the outcome of a previous rigorous phase [26, 27]. Seeking agreement amongst clinicians should be seen as a starting point for establishing criteria that are likely to have significant clinical sensibility and that can be tested to ensure validity. As clinical experience evolves, the opinions of experts may also change, together with their assessment and diagnostic practices. The development of methods for consensus should therefore take cognisance of this and be flexible so that the criteria may be reexamined and revised at intervals [35], possibly with a two-year gap, as new information and research is developed. In ensuring this, stage five involved a critique of the algorithm as an additional attempt to review inclusion of items within the algorithm. These processes within this particular study have all served to ensure robustness in the development of the EBCA presented in this paper.

Finally, this discussion would be incomplete without describing how this effort of the development of an EBCA for hypotonia assessment has been considered with due consideration of stakeholder uptake. Brehaut et al. [44] suggest that an understanding of the cognitive and social processes that affect KT is essential whilst Rogers [45] provides a model for diffusion of the innovation. With due cognisance of these issues and concepts that may arise, the authors have attempted to use feedback from the critique to influence more positive stakeholder uptake. These were with respect to the EBCA (as the innovation) itself, by ensuring clarity of presentation, by the potential communication channels and nomenclature, by the introduction of the technical report to augment the EBCA and by the social system, with consideration of the resource implications. Aside from these initial efforts, a number of additional factors would have to be realised prior to the dissemination and adoption of the EBCA in practice as KT issues are site and possibly country specific given the cultural influences and availability of resources. Some of these include determining the knowledge and understanding required by clinicians of the EBCA in order for implementation to occur and to attempt to determine the optimal mechanisms of social interaction of clinicians to best enable an environment to foster knowledge uptake and change. Moreover a challenge would be for the authors to determine clinician motivation for knowledge uptake and to determine factors that may nurture self-motivation, drive for self-excellence, and willingness to implement and sustain the evidence-based options proposed. Organisational factors may include determining the mode of material presentation and content to ensure that all five adopter groups, according to Rogers [45], may be covered in the implementation process.

5. Conclusion

This paper reports on an EBCA as an option for more accurate clinical assessment of hypotonia, a symptom of an array of both neurological and genetic diagnoses, in children. As we progressively sensitise towards early examination, evaluation, and intervention programmes, accuracy of examinations becomes essential in order to contribute to cogent decisions for intervention. Moreover ensuring optimal care, in the face of uncertainty in healthcare, sits with the responsibility of every clinician as part of their ethical and moral obligation. As part of this obligation and the call for more accurate assessment, we have responded with the development of an EBCA for practice. This prepackaged action plan may assist in facilitating the execution of more appropriate and comprehensive assessment towards the ultimate goal of correct and early diagnosis and intervention for hypotonia. The EBCA is envisaged to be useful in practice for clinicians who are faced with the assessment of a child that is suspected as having hypotonia. The benefits of such an algorithm include guiding the clinician in following a systematic process in identifying specific characteristics that are associated with low muscle tone; assisting the clinicians in the choice of the methods that will primarily aid the evaluation of the specific characteristic; providing a qualifier checklist that allows the clinician to quantify the degree of impairment; ensuring holistic assessment by the inclusion of collateral information (history) as well as functional limitations (activity and participation); providing an endpoint following assessment, that is, towards intervention or referral to another professional. This study has further provided an appraisal of the literary evidence to assist clinicians in moving towards more evidence-based practice. Research evidence that is rigorously generated, regardless of design, demands due consideration of its quality prior to its utilization in the clinical field. Hence the next logical step would be the assessment of the quality of the EBCA prior to implementation in practice.

Disclosure

The contents are solely the responsibility of the authors and do not necessarily represent the official views of the government.

Conflicts of Interest

A number of funders are acknowledged for their support of the larger study from which these findings emanate. These include the Medical Research Council of South Africa in terms of the National Health Scholars Programme from funds provided for this purpose by the National Department of Health and the National Public Health Enhancement Fund, National Research Foundation of South Africa via the Thuthuka Programme, and the University of KwaZulu-Natal. Additionally this publication was made possible from partial support from the Office of the US Global AIDS Coordinator (Grant no. R24TW008863) and the US Department of Health and Human Services, National Institutes of Health (NIH OAR and NIH ORWH).

References

  1. L. T. Kohn, J. M. Corrigan, and M. S. Donaldson, Eds., To Err Is Human: Building a Safer Health System, vol. 6, National Academies Press, 2000.
  2. D. E. Altman, C. Clancy, and R. J. Blendon, “Improving patient safety—five years after the IOM report,” The New England Journal of Medicine, vol. 351, no. 20, pp. 2041–2043, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Ashwal and R. Rust, “Child neurology in the 20th century,” Pediatric Research, vol. 53, no. 2, pp. 345–361, 2003. View at Publisher · View at Google Scholar · View at Scopus
  4. L. Hartley and R. Ranjan, “Evaluation of the floppy infant,” Paediatrics and Child Health, vol. 25, no. 11, pp. 498–504, 2015. View at Publisher · View at Google Scholar · View at Scopus
  5. E. C. Lisi and R. D. Cohn, “Genetic evaluation of the pediatric patient with hypotonia: Perspective from a hypotonia specialty clinic and review of the literature,” Developmental Medicine & Child Neurology, vol. 53, no. 7, pp. 586–599, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. E. A. Soucy, L. E. Wessel, F. Gao, A. C. Albers, D. H. Gutmann, and C. M. Dunn, “A pilot study for evaluation of hypotonia in children with neurofibromatosis type 1,” Journal of Child Neurology, vol. 30, no. 3, pp. 382–385, 2015. View at Publisher · View at Google Scholar · View at Scopus
  7. J. B. Bodensteiner, “The Evaluation of the Hypotonic Infant,” Seminars in Pediatric Neurology, vol. 15, no. 1, pp. 10–20, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. J. Leyenaar, P. Camfield, and C. Camfield, “A schematic approach to hypotonia in infancy,” Paediatrics & Child Health, vol. 10, no. 7, pp. 397–400, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. R. Mintz-Itkin, T. Lerman-Sagie, L. Zuk, T. Itkin-Webman, and M. Davidovitch, “Does physical therapy improve outcome in infants with joint hypermobility and benign hypotonia?” Journal of Child Neurology, vol. 24, no. 6, pp. 714–719, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. J. N. Walton, “The limp child,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 20, no. 2, pp. 144–154, 1957. View at Publisher · View at Google Scholar · View at Scopus
  11. R. S. Paine, “The future of the ‘Floppy Infant’: a follow‐up study of 133 patients,” Developmental Medicine & Child Neurology, vol. 5, no. 2, pp. 115–124, 1963. View at Publisher · View at Google Scholar · View at Scopus
  12. F. G. A. Van der Meché and J. Van Gijn, “Hypotonia: an erroneous clinical concept?” Brain, vol. 109, no. 6, pp. 1169–1178, 1986. View at Publisher · View at Google Scholar · View at Scopus
  13. K. Martin, J. Inman, A. Kirschner, K. Deming, R. Gumbel, and L. Voelker, “Characteristics of hypotonia in children: a consensus opinion of pediatric occupational and physical therapists,” Pediatric Physical Therapy, vol. 17, no. 4, pp. 275–282, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. K. Martin, T. Kaltenmark, A. Lewallen, C. Smith, and A. Yoshida, “Clinical characteristics of hypotonia: a survey of pediatric physical and occupational therapists,” Pediatric Physical Therapy, vol. 19, no. 3, pp. 217–226, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. K. S. Martin, S. W. McCoy, and B. H. Wrotniak, “Diagnosis dialog for pediatric physical therapists: hypotonia, developmental coordination disorder, and pediatric obesity as examples,” Pediatric Physical Therapy, vol. 25, no. 4, pp. 431–443, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. B.-T. Karsh, R. J. Holden, S. J. Alper, and C. K. L. Or, “A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional,” Quality & Safety in Health Care, vol. 15, supplement 1, pp. i59–i65, 2006. View at Google Scholar
  17. V. S. Miller, M. Delgado, and S. T. Iannaccone, “Neonatal hypotonia,” Seminars in Neurology, vol. 13, no. 1, pp. 73–83, 1993. View at Publisher · View at Google Scholar · View at Scopus
  18. G. M. Gaddis, P. Greenwald, and S. Huckson, “Toward improved implementation of evidence-based clinical algorithms: clinical practice guidelines, clinical decision rules, and clinical pathways,” Academic Emergency Medicine, vol. 14, no. 11, pp. 1015–1022, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. H. C. Sox and W. F. Stewart, “Algorithms, clinical practice guidelines, and standardized clinical assessment and management plans: evidence-based patient management standards in evolution,” Academic Medicine, vol. 90, no. 2, pp. 129–132, 2015. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Farias, K. G. Friedman, J. E. Lock, and R. H. Rathod, “Gathering and learning from relevant clinical data: a new framework,” Academic Medicine, vol. 90, no. 2, pp. 143–148, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. K. R. Hammond, Human Judgement and Social Policy: Irreducible Uncertainty, Inevitable Error, Unavoidable Injustice, Oxford University Press, New York, NY, USA, 1996.
  22. H. Van Crevel, “Uncertainty in medicine: phoenix hippocrates,” The Netherlands Journal of Medicine, vol. 60, no. 3, pp. 154–158, 2002. View at Google Scholar · View at Scopus
  23. J. Creswell, Qualitative Enquiry and Research Design: Choosing among Five Approaches, Sage Publications, Thousand Oaks, Calif, USA, 2013.
  24. P. Naidoo, “Towards Evidenced-based Practice: a systematic review of methods and tests used in the clinical assessment of Hypotonia,” South African Journal of Occupational Therapy, vol. 43, no. 3, pp. 2–8, 2013. View at Google Scholar
  25. P. Naidoo, “Current practices in the assessment of low muscle tone,” South African Journal of Occupational Therapy, vol. 43, no. 2, pp. 12–17, 2013. View at Google Scholar
  26. P. Naidoo and R. W. E. Joubert, “Consensus on hypotonia via delphi process,” The Indian Journal of Pediatrics, vol. 80, no. 8, pp. 641–650, 2013. View at Publisher · View at Google Scholar · View at Scopus
  27. P. Govender and R. W. Joubert, “‘Toning’ up hypotonia assessment: a proposal and critique,” African Journal of Disability, vol. 5, no. 1, pp. 1–9, 2016. View at Google Scholar
  28. P. K. Maulik and G. L. Darmstadt, “Childhood disability in low- and middle-income countries: overview of screening, prevention, services, legislation, and epidemiology,” Pediatrics, vol. 120, supplement 1, pp. S1–S55, 2007. View at Publisher · View at Google Scholar · View at Scopus
  29. M. Hadders-Algra, “Evaluation of motor function in young infants by means of the assessment of general movements: A review,” Pediatric Physical Therapy, vol. 13, no. 1, pp. 27–36, 2001. View at Publisher · View at Google Scholar · View at Scopus
  30. S. Kauchali and L. L. Davidson, “Commentary: the epidemiology of neurodevelopmental disorders in Sub-Saharan Africa—moving forward to understand the health and psychosocial needs of children, families, and communities,” International Journal of Epidemiology, vol. 35, no. 3, pp. 689-690, 2006. View at Publisher · View at Google Scholar · View at Scopus
  31. United Nations, “Goal 4: reduce child mortality—child deaths are falling, but not quickly enough to reach the target,” The Millennium Development Goal Report 2010: Addendum 1, 2010. View at Google Scholar
  32. P. Watkins, “The healing environment,” Clinical Medicine, vol. 5, pp. 197-198, 2005. View at Google Scholar
  33. J. W. Creswell, A Concise Introduction to Mixed Methods Research, Sage Publications, Thousand Oaks, Calif, USA, 2015.
  34. World Health Organisation, International Classification of Functioning, Disability and Health, ICF, Geneva, Switzerland, 2001.
  35. B. Graham, G. Regehr, and J. G. Wright, “Delphi as a method to establish consensus for diagnostic criteria,” Journal of Clinical Epidemiology, vol. 56, no. 12, pp. 1150–1156, 2003. View at Publisher · View at Google Scholar · View at Scopus
  36. N. Santesso and P. Tugwell, “Knowledge translation in developing countries,” The Journal of Continuing Education in the Health Professions, vol. 26, no. 1, pp. 87–96, 2006. View at Publisher · View at Google Scholar · View at Scopus
  37. A. Pearson, Z. Jordan, and Z. Munn, “Translational science and evidence-based healthcare: a clarification and reconceptualization of how knowledge is generated and used in healthcare,” Nursing Research and Practice, vol. 2012, Article ID 792519, 6 pages, 2012. View at Publisher · View at Google Scholar
  38. R. E. G. Upshur, “The status of qualitative research as evidence,” in The Nature of Qualitative Evidence, J. M. Morse, J. M. Swanson, and Kuzel A. J., Eds., pp. 5–26, Sage Publications, Thousand Oaks, Calif, USA, 2001. View at Google Scholar
  39. M. Eraut, “Knowledge creation and knowledge use in professional contexts,” Studies in Higher Education, vol. 10, no. 2, pp. 117–133, 1985. View at Publisher · View at Google Scholar · View at Scopus
  40. M. Eraut, “Non-formal learning and tacit knowledge in professional work,” British Journal of Educational Psychology, vol. 70, no. 1, pp. 113–136, 2000. View at Publisher · View at Google Scholar · View at Scopus
  41. J. Rycroft-Malone, K. Seers, A. Titchen, G. Harvey, A. Kitson, and B. McCormack, “What counts as evidence in evidence-based practice?” Journal of Advanced Nursing, vol. 47, no. 1, pp. 81–90, 2004. View at Publisher · View at Google Scholar · View at Scopus
  42. F. Eitel, K.-G. Kanz, E. Hortig, and A. Tesche, “Do we face a fourth paradigm shift in medicine—algorithms in education?” Journal of Evaluation in Clinical Practice, vol. 6, no. 3, pp. 321–333, 2000. View at Google Scholar · View at Scopus
  43. P. N. Khalil, A. Kleespies, M. K. Angele et al., “The formal requirements of algorithms and their implications in clinical medicine and quality management,” Langenbeck's Archives of Surgery, vol. 396, no. 1, pp. 31–40, 2011. View at Publisher · View at Google Scholar · View at Scopus
  44. J. C. Brehaut, R. Hamm, S. Majumdar, F. Papa, A. Lott, and E. Lang, “Cognitive and social issues in emergency medicine knowledge translation: a research agenda,” Academic Emergency Medicine, vol. 14, no. 11, pp. 984–990, 2007. View at Publisher · View at Google Scholar · View at Scopus
  45. E. M. Rogers, Diffusion of Innovations, Free Press, A Division of Simon and Schuster Inc., New York, NY, USA, 5th edition, 2003.