Application of the hub and spokes model in improving access to cervical cancer screening in Ghana

Objective: To examine the contribution of lower-level health facilities in increasing access to cervical cancer screening in the North Tongu District. Design: A descriptive cross-sectional study design was used. The Cervical Cancer Prevention and Training Centre (CCPTC) of the Catholic Hospital, Battor, served as the hub, and six health facilities (3 health centres and 3 CHPS compounds) served as the spokes. From April 2018 to September 2019, the well-resourced CCPTC trained 6 nurses at selected Community-based Health Planning and Services (CHPS) / Health Centres (HCs) (spokes) to provide cervical cancer screening services. The nurses, after training, started screening with VIA and HPV DNA testing. Participants: A total of 3,451women were screened by the trained nurses. This comprised 1,935 (56.1%) from the hub and 1,516 (43.9%) from the spokes. Main outcome measure: The detection of screen positives Results: The screen positives were 19.4% (375/1935) at the hub and 4.9% (74/1516) at the spokes. Conclusion: We have demonstrated that a hub and spokes model for cervical cancer screening is possible in limited resource settings. Designating and resourcing a 'hub' that supports a network of 'spokes' could increase women's access to cervical cancer screening. This approach could create awareness about cervical cancer screening services and how they can be accessed

Predictors of weight reduction in a Nigerian family practice setting

Objectives: This study identified the predictors of weight reduction among adult obese patients in a Family Practice Setting and developed a statistical model to predict weight reduction. Design: A prospective cohort design. Setting: The Family Practice Clinic, University College Hospital, Ibadan, Nigeria Participants and study tools: Obese adults were recruited into a three-month weight reduction program. Patient Information Leaflets were used for counselling, while questionnaires were administered to obtain socio-demographic and lifestyle factors. Potential predictors were assessed using the Multidimensional Scale of Perceived Social Support, Zung Depression Scale, Rosenberg Self-Esteem scale, Garner's Eating Attitude Test-26 (EAT-26), 24-hour dietary recall and International Physical Activity Questionnaire-short form. Anthropometric indices, blood pressure and Fasting Lipid Profile were assessed. Descriptive and inferential statistics were used for analysis with a significance set at α0.05. Results: Most 99(76.2%) of the 130 participants achieved weight reduction and had a median weight change of -2.3kg (IQR-4, -0.5), with 66 (66.7%) out of 99 attaining the weight reduction target of 10%. The regression model showed predictors of weight reduction to be Total Cholesterol [TC] (p=0.01) and Low-Density Lipoprotein Cholesterol [LDLC] (p=0.03). The statistical model derived for Weight reduction = 0.0028 (LDL-C) -0.029 (TC)-0.053 (EAT-26) +0.041(High-Density Lipoprotein Cholesterol). The proportion of variance of the model tested was R 2 = 0.3928 (adjusted R2 = 0.2106). Conclusion: Predictors of weight reduction among patients were eating attitude score, Total Cholesterol, Low-Density Lipid and High-Density Lipoprotein Cholesterol levels. A statistical model was developed for managing obesity among patients