Association between disability status and health care utilisation for common childhood illnesses in 10 countries in sub-Saharan Africa: a cross-sectional study in the Multiple Indicator Cluster Survey.

BACKGROUND: Approximately 70 million children in sub-Saharan Africa (SSA) are disabled, yet little is known about the prevalence of and care-seeking patterns for common childhood illnesses, such as acute respiratory infection (ARI), diarrhoea, and fever. METHODS: Data were from 10 SSA countries with data available from 2017 to 2020 in the UNICEF-supported Multiple Indicator Cluster Survey (MICS) online repository. Children aged 2-4 years who completed the child functioning module were included. Using logistic regression, we examined the association between disability and ARI, diarrhoea and fever in the past two weeks and care-seeking behaviour for these illnesses. Using multinomial logistic regression, we examined the association between disability and the type of health care providers from which caregivers sought care. FINDINGS: There were 51,901 children included. Overall, there were small absolute differences in illnesses between disabled and non-disabled children. However, there was evidence disabled children had a greater odds of ARI (aOR = 1.33, 95% C.I 1.16-1.52), diarrhoea (aOR = 1.27, 95% C.I. 1.12-1.44), and fever (aOR = 1.19 95% CI 1.06-1.35) compared to non-disabled children. There was no evidence that caregivers of disabled children had a greater odds of seeking care for ARI (aOR = 0.90, 95% C.I 0.69-1.19), diarrhoea (aOR = 1.06, 95% C.I. 0.84-1.34), and fever (aOR = 1.07, 95% C.I 0.88-1.30) compared to caregivers of non-disabled children. Caregivers of disabled children had a higher odds of seeking care from a trained health worker for ARI (aOR = 1.76, 95% C.I. 1.25-2.47) and fever (aOR = 1.49, 95% C.I. 1.03-2.14) or non-health professional (aOR = 1.89, 95% C.I. 1.19-2.98) for ARI than from an unspecified health facility worker compared to caregivers of non-disabled children, but no associations were not seen for diarrhoea. INTERPRETATION: While the data showed relatively small absolute differences, disability was associated with ARI, diarrhoea and fever and caregivers of disabled children sought care from trained health workers for ARI and fever more than non-disabled children. The overall small absolute differences show closing gaps in illness and access to care may be possible, but highlights that more research on illness severity, care quality, and outcomes should be conducted to further assess health inequities for disabled children. FUNDING: SR receives funding from the Rhodes Trust

ACCISS study rationale and design: activating collaborative cancer information service support for cervical cancer screening

<p>Abstract</p> <p>Background</p> <p>High-quality cancer information resources are available but underutilized by the public. Despite greater awareness of the National Cancer Institute's Cancer Information Service among low-income African Americans and Hispanics compared with Caucasians, actual Cancer Information Service usage is lower than expected, paralleling excess cancer-related morbidity and mortality for these subgroups. The proposed research examines how to connect the Cancer Information Service to low-income African-American and Hispanic women and their health care providers. The study will examine whether targeted physician mailing to women scheduled for colposcopy to follow up an abnormal Pap test can increase calls to the Cancer Information Service, enhance appropriate medical follow-up, and improve satisfaction with provider-patient communication.</p> <p>Methods/Design</p> <p>The study will be conducted in two clinics in ethnically diverse low-income communities in Chicago. During the formative phase, patients and providers will provide input regarding materials planned for use in the experimental phase of the study. The experimental phase will use a two-group prospective randomized controlled trial design. African American and Hispanic women with an abnormal Pap test will be randomized to Usual Care (routine colposcopy reminder letter) or Intervention (reminder plus provider recommendation to call the Cancer Information Service and sample questions to ask). Primary outcomes will be: 1) calls to the Cancer Information Service; 2) timely medical follow-up, operationalized by whether the patient keeps her colposcopy appointment within six months of the abnormal Pap; and 3) patient satisfaction with provider-patient communication at follow-up.</p> <p>Discussion</p> <p>The study examines the effectiveness of a feasible, sustainable, and culturally sensitive strategy to increase awareness and use of the Cancer Information Service among an underserved population. The goal of linking a public service (the Cancer Information Service) with real-life settings of practice (the clinics), and considering input from patients, providers, and Cancer Information Service staff, is to ensure that the intervention, if proven effective, can be incorporated into existing care systems and sustained. The approach to study design and planning is aimed at bridging the gap between research and practice/service.</p> <p>Trial Registration</p> <p>NCT00873288</p

Timing of pubertal stages and breast cancer risk : the Breakthrough Generations Study

Introduction: Breast development and hormonal changes at puberty might affect breast cancer risk, but epidemiological analyses have focussed largely on age at menarche and not at other pubertal stages. Methods: We investigated associations between the timing of pubertal stages and breast cancer risk using data from a cohort study of 104,931 women (Breakthrough Generations Study, UK, 2003–2013). Pubertal variables were reported retrospectively at baseline. Breast cancer risk was analysed using Cox regression models with breast cancer diagnosis as the outcome of interest, attained age as the underlying time variable, and adjustment for potentially confounding variables. Results: During follow-up (mean = 4.1 years), 1094 breast cancers (including ductal carcinoma in situ) occurred. An increased breast cancer risk was associated with earlier thelarche (age when breast growth begins; HR [95% CI] = 1.23 [1.02, 1.48], 1 [referent] and 0.80 [0.69, 0.93] for ≤10, 11–12 and ≥13 years respectively), menarche (initiation of menses; 1.06 [0.93, 1.21], 1 [referent] and 0.78 [0.62, 0.99] for ≤12, 13–14 and ≥15 years), regular periods (0.99 [0.83, 1.18], 1 [referent] and 0.74 [0.59, 0.92] for ≤12, 13–14 and ≥15 years) and age reached adult height (1.25 [1.03, 1.52], 1 [referent] and 1.07 [0.87, 1.32] for ≤14, 15–16 and ≥17 years), and with increased time between thelarche and menarche (0.87 [0.65, 1.15], 1 [referent], 1.14 [0.96, 1.34] and 1.27 [1.04, 1.55] for <0, 0, 1 and ≥2 years), and shorter time between menarche and regular periods (1 [referent], 0.87 [0.73, 1.04] and 0.66 [0.50, 0.88] for 0, 1 and ≥2 years). These associations were generally similar when considered separately for premenopausal and postmenopausal breast cancer. Conclusions: Breast duct development may be a time of heightened susceptibility to risk of carcinogenesis, and greater attention needs to be given to the relation of breast cancer risk to the different stages of puberty

Beauty is in the AI of the beholder: Are we ready for the clinical integration of Artificial Intelligence in radiography? An exploratory analysis of perceived AI knowledge, skills, confidence, and education perspectives of UK radiographers

The use of artificial intelligence (AI) in medical imaging and radiotherapy has been met with both scepticism and excitement. However, clinical integration of AI is already well-underway. Many authors have recently reported on the AI knowledge and perceptions of radiologists/medical staff and students however there is a paucity of information regarding radiographers. Published literature agrees that AI is likely to have significant impact on radiology practice. As radiographers are at the forefront of radiology service delivery, an awareness of the current level of their perceived knowledge, skills, and confidence in AI is essential to identify any educational needs necessary for successful adoption into practice. The aim of this survey was to determine the perceived knowledge, skills, and confidence in AI amongst UK radiographers and highlight priorities for educational provisions to support a digital healthcare ecosystem. A survey was created on Qualtrics® and promoted via social media (Twitter®/LinkedIn®). This survey was open to all UK radiographers, including students and retired radiographers. Participants were recruited by convenience, snowball sampling. Demographic information was gathered as well as data on the perceived, self-reported, knowledge, skills, and confidence in AI of respondents. Insight into what the participants understand by the term "AI" was gained by means of a free text response. Quantitative analysis was performed using SPSS® and qualitative thematic analysis was performed on NVivo®. Four hundred and eleven responses were collected (80% from diagnostic radiography and 20% from a radiotherapy background), broadly representative of the workforce distribution in the UK. Although many respondents stated that they understood the concept of AI in general (78.7% for diagnostic and 52.1% for therapeutic radiography respondents, respectively) there was a notable lack of sufficient knowledge of AI principles, understanding of AI terminology, skills, and confidence in the use of AI technology. Many participants, 57% of diagnostic and 49% radiotherapy respondents, do not feel adequately trained to implement AI in the clinical setting. Furthermore 52% and 64%, respectively, said they have not developed any skill in AI whilst 62% and 55%, respectively, stated that there is not enough AI training for radiographers. The majority of the respondents indicate that there is an urgent need for further education (77.4% of diagnostic and 73.9% of therapeutic radiographers feeling they have not had adequate training in AI), with many respondents stating that they had to educate themselves to gain some basic AI skills. Notable correlations between confidence in working with AI and gender, age, and highest qualification were reported. Knowledge of AI terminology, principles, and applications by healthcare practitioners is necessary for adoption and integration of AI applications. The results of this survey highlight the perceived lack of knowledge, skills, and confidence for radiographers in applying AI solutions but also underline the need for formalised education on AI to prepare the current and prospective workforce for the upcoming clinical integration of AI in healthcare, to safely and efficiently navigate a digital future. Focus should be given on different needs of learners depending on age, gender, and highest qualification to ensure optimal integration. [Abstract copyright: Copyright © 2021 Rainey, O'Regan, Matthew, Skelton, Woznitza, Chu, Goodman, McConnell, Hughes, Bond, McFadden and Malamateniou.