Correction to: Human-centered design as a guide to intervention planning for non-communicable diseases: the BIGPIC study from Western Kenya.

An amendment to this paper has been published and can be accessed via the original article.

Human-centered design as a guide to intervention planning for non-communicable diseases: the BIGPIC study from Western Kenya.

BACKGROUND: Non-communicable disease (NCD) care in Sub-Saharan Africa is challenging due to barriers including poverty and insufficient health system resources. Local culture and context can impact the success of interventions and should be integrated early in intervention design. Human-centered design (HCD) is a methodology that can be used to engage stakeholders in intervention design and evaluation to tailor-make interventions to meet their specific needs. METHODS: We created a Design Team of health professionals, patients, microfinance officers, community health workers, and village leaders. Over 6 weeks, the Design Team utilized a four-step approach of synthesis, idea generation, prototyping, and creation to develop an integrated microfinance-group medical visit model for NCD. We tested the intervention with a 6-month pilot and conducted a feasibility evaluation using focus group discussions with pilot participants and community members. RESULTS: Using human-centered design methodology, we designed a model for NCD delivery that consisted of microfinance coupled with monthly group medical visits led by a community health educator and a rural clinician. Benefits of the intervention included medication availability, financial resources, peer support, and reduced caregiver burden. Critical concerns elicited through iterative feedback informed subsequent modifications that resulted in an intervention model tailored to the local context. CONCLUSIONS: Contextualized interventions are important in settings with multiple barriers to care. We demonstrate the use of HCD to guide the development and evaluation of an innovative care delivery model for NCDs in rural Kenya. HCD can be used as a framework to engage local stakeholders to optimize intervention design and implementation. This approach can facilitate the development of contextually relevant interventions in other low-resource settings. TRIAL REGISTRATION: Clinicaltrials.gov, NCT02501746, registration date: July 17, 2015.

Obesity and anthropometry in spina bifida: What is the best measure.

OBJECTIVE: Diagnosis of obesity using traditional body mass index (BMI) using length may not be a reliable indicator of body composition in spina bifida (SB). We examine traditional and surrogate measures of adiposity in adults with SB, correlated with activity, metabolic disease, attitudes towards exercise and quality of life. DESIGN: Adult subjects with SB underwent obesity classification using BMI by length and arm span, abdominal girth and percent trunk fat (TF) on dual energy X-ray absorptiometry (DXA). Quality of life measures, activity level and metabolic laboratory values were also reviewed. RESULTS: Among eighteen subjects (6 male, 12 female), median age was 26.5 (range 19-37) years, with level of lesion 16.7% ≤L2, 61.1% L3-4, and 22.2% ≥L5, respectively. Median weight was 71.8 (IQR 62.4, 85.8) kg, similar between sexes (P = 0.66). With median length of 152.0 (IQR 141.8, 163.3) cm, median conventional BMI was 29.4 m/kg2, with 7 (43.8%) subjects with BMI >30. Median BMI by arm span was 30.2 m/kg2, abdominal girth of 105.5 cm, and TF 45.7%. More subjects were classified as obese using alternate measures, with 9 (56.3%) by arm span, 14 (82.4%) by abdominal girth and 15 (83.3%) by TF (P = 0.008). Reclassification of obesity from conventional BMI was significant when using TF (P = 0.03). No difference in quality of life measures, activity level and metabolic abnormalities was demonstrated between obese and non-obese subjects. CONCLUSIONS: Conventional determination of obesity using BMI by length is an insensitive marker in adults with SB. Adults with SB are more often classified as obese using TF by DXA.