Effects of Training Health Workers in Integrated Management of Childhood Illness on Quality of Care for Under-5 Children in Primary Healthcare Facilities in Afghanistan

Background: Training courses in integrated management of childhood illness (IMCI) have been conducted for health workers for nearly one and half decades in Afghanistan. The objective of the training courses is to improve quality of care in terms of health workers communication skills and clinical performance when they provide health services for under-5 children in public healthcare facilities. This paper presents our findings on the effects of IMCI training courses on quality of care in public primary healthcare facilities in Afghanistan. Methods: We used a cross-sectional post-intervention design with regression-adjusted difference-in-differences (DiD) analysis, and included 2 groups of health workers (treatment and control). The treatment group were those who have received training in IMCI recently (in the last 12 months), and the control group were those who have never received training in IMCI. The assessment method was direct observation of health workers during patient-provider interaction. We used data, collected over a period of 3 years (2015–2017) from primary healthcare facilities, and investigated training effects on quality of care. The outcome variables were 4 indices of quality care related to history taking, information sharing, counseling/medical advice, and physical examination. Each index was formed as a composite score, composed of several inter-related tasks of quality of care carried out by health workers during patient-provider interaction for under-5 children. Results: Data were collected from 733 primary healthcare facilities with 5818 patients. Quality of care was assessed at the level of patient-provider interaction. Findings from the regression-adjusted DiD multivariate analysis showed significant effects of IMCI training on 2 indices of quality care in 2016, and on 4 indices of quality care in 2017. In 2016 two indices of quality care showed improvement. There was an increase of 8.1% in counseling/medical advice index, and 8.7% in physical examination index. In 2017, there was an increase of 5.7% in history taking index, 8.0% in information sharing index, 10.9% in counseling/medical advice index, and 17.2% in physical examination index. Conclusion: Conducting regular IMCI training courses for health workers can improve quality of care for under-5 children in primary healthcare facilities in Afghanistan. Findings from our study have the potential to influence policy and strategic decisions on IMCI programs in developing countries

Low rate of non-compliance to antituberculous therapy under the banner of directly observed treatment short course (DOTS) strategy and well organized retrieval system: a call for implementation of this strategy at all DOTS centers in Saudi Arabia

Introduction: The objective of this study was to show the effectiveness of revised retrieval system on non-compliance. Methods: We retrospectively evaluated the effectiveness of a revised retrieval system on non-compliance during continuous phase of antituberculous treatment (Jan-2005 to Dec-2010) compared to baseline non-compliance (Jan-2002 to Dec-2004). Results: In the baseline period, 141 of 501 (28%) patients did not attend their first appointment. Of these 141 patients, 63 (45%) patients could be brought back to treatment while 78 patients (16%) dropped out and could not be retrieved. During the 2nd phase after launching a revised retrieval system, 98 of 835 (13%) patients did not attend their first appointment. Using the retrieval system, 79 (81%)  atients were brought back for regular follow up, and 19 patients could not be retrieved, a dropout rate of 2.27%. By virtue of revised retrieval system, there was a significant drop in non-compliance by 15% and a decline in net dropout rate by 14%. The number of those brought back to treatment by revised retrieval system almost doubled (81%) compared to 44% retrieval in initial period. Conclusion: The revised retrieval system had a significant impact on the reduction of dropout rate and significant improvement in the retrieval of those patients

Incorporating progesterone receptor expression into the PREDICT breast prognostic model

Background: Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).Method: The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance.Results: Having a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with oestrogen receptor (ER)-negative and ER-positive breast cancer, respectively. The area under the ROC curve increased with the addition of PR status from 0.807 to 0.809 for patients with ER-negative tumours (p = 0.023) and from 0.898 to 0. 902 for patients with ER-positive tumours (p = 2.3 x 10(-6)) in the New Zealand cohort. Model calibration was modest with 940 observed deaths compared to 1151 predicted.Conclusion: The inclusion of the prognostic effect of PR status to PREDICT Breast has led to an improvement of model performance and more accurate absolute treatment benefit predic-tions for individual patients. Further studies should determine whether the baseline hazard function requires recalibration. (C) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe

Incorporating progesterone receptor expression into the PREDICT breast prognostic model

Background: Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).Method: The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance.Results: Having a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with oestrogen receptor (ER)-negative and ER-positive breast cancer, respectively. The area under the ROC curve increased with the addition of PR status from 0.807 to 0.809 for patients with ER-negative tumours (p = 0.023) and from 0.898 to 0. 902 for patients with ER-positive tumours (p = 2.3 x 10(-6)) in the New Zealand cohort. Model calibration was modest with 940 observed deaths compared to 1151 predicted.Conclusion: The inclusion of the prognostic effect of PR status to PREDICT Breast has led to an improvement of model performance and more accurate absolute treatment benefit predic-tions for individual patients. Further studies should determine whether the baseline hazard function requires recalibration. (C) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe

Effects of Results-Based Financing on Patient Satisfaction in Afghanistan

A Results-Based Financing (RBF) program has been implemented in Afghanistan since September 2010 to improve the quality of health care and increase the utilization of maternal and child health services. This PhD study examines the impact of RBF on patient satisfaction and on determinants of patient satisfaction at health facility level in Afghanistan. Determinants of patient satisfaction in the study refer to health provider performance, availability of medicines, vaccines, equipment, and physical appearance of health facilities. I used data collected from a panel of health facilities over a three-year period. The data consist of nearly 3000 patient observations and exit interviews. I included 112 health facilities in my study. These health facilities were part of the 428 health facilities which had been randomly assigned to treatment and control groups prior to the start of RBF in 2010. Financial incentives were distributed among health providers in the treatment facilities through four administration mechanisms: salary-based, task-based, equal-amount, and mixed-method. Follow-up surveys were conducted in 2011 and 2012 in the same 112 facilities, but for new cross-sections of patients and health providers. I analysed a range of patient satisfaction and patient satisfaction determinants measures using a regression-adjusted difference-in-differences estimation model. The results from this study show that after a period of two years, there was an increase of only 8 percentage points in the proportion of patients who were very satisfied with services as a whole. However, the effect was not statistically significant. Similarly, specific aspects of patient satisfaction were not significantly affected by the intervention. Likewise, RBF did not have any significant effect on health provider performance, on availability of medicines, vaccines, and equipment, and on physical appearance of health facilities over a two-year period. I also found no difference in RBF treatment effects by the different incentive administration mechanisms. My study provides evidence which suggests that paying monetary incentives alone may not have the impetus to improve health provider performance to the satisfaction of patients in a post conflict country. In such settings, RBF initiatives need to include both financial and non-financial incentives for health providers in order to achieve the intended objectives of quality of care and patient satisfaction. My study provides pragmatic recommendations aimed at holistic approaches to improving quality and delivery of healthcare in a post conflict setting

Healthiness of foods and non-alcoholic beverages according to store type: A population-based study of household food and drink purchases in New Zealand

Background: Obesity and diet-related noncommunicable diseases (NCDs) account for the largest proportion of disease burden worldwide, and an unhealthy food environment is a key driver. Food retailers play an important role in food environments through the availability and purchases of healthy food products at various stores. Objectives: To assess whether the healthiness of food and non-alcoholic drink product purchases vary according to retail store type. Methods: We undertook a cross-sectional analysis of Nielsen New Zealand Homescan® panel data, which is a nationally representative sample of 2500 households in terms of certain key household demographic and socioeconomic characteristics. Panel members were asked to record all food and beverage products that were purchased and brought back to the home between October 2018 and October 2019. Household food and non-alcoholic drink purchases were linked with two food composition databases (Nutritrack, a New Zealand packaged food composition database, and the FOODfiles New Zealand Food Composition Database) to extract data on the nutrient profile of products purchased. We developed a store classification tool, and classified stores as supermarkets, grocery stores, convenience stores, fruit and vegetable stores, meat and fish stores, or bakeries. We estimated the Health Star Rating (HSR) for all products and defined a product with HSR ≥ 3.5 as ‘healthy’. We computed estimated mean HSR and conducted multivariate regression analyses. Results: In total, 3,940,458 product purchases were included in the analyses, consisting of 20,491 unique products purchased at different stores over the one-year period by 1800 panellist households. Supermarket products made up the majority of household food and drink purchases (3,545,141 of 3,940,458; 90%). Overall, the estimated mean HSR was 3.5 stars. In comparison to the reference group of supermarkets, the odds ratio for healthy products purchased at fruit and vegetable stores was 4.62, at grocery stores it was 2.36, and at meat and fish stores it was 1.99. In contrast, the odds ratios from convenience stores and bakeries were 0.58 and 0.03. Except for convenience stores, these differences were statistically significant (p < 0.05). Discussion: We found significant differences in household purchases of healthy food and beverages according to food retail store type, with healthier food much more likely to be purchased from fruit and vegetable stores, meat and fish stores and grocery stores, and much less likely to be purchased from bakeries and convenience stores as compared with supermarkets. Conclusion: Policies to improve healthy food retailing should consider all retail store types and focus particularly on increasing the availability of healthy food options at convenience stores and bakeries. Given that supermarkets are the source of most household food purchases (both healthy and unhealthy), strategies are also warranted to increase the relative availability and purchases of healthy foods from supermarkets

Predicting maternal healthcare seeking behaviour in Afghanistan: exploring sociodemographic factors and women’s knowledge of severity of illness

Abstract Background Little is known whether women’s knowledge of perceived severity of illness and sociodemographic characteristics of women influence healthcare seeking behavior for maternal health services in Afghanistan. The aim of this study was to address this knowledge gap. Methods Data were used from the Afghanistan Health Survey 2018. Women’s knowledge in terms of danger signs or symptoms during pregnancy was assessed. The signs or symptoms were bleeding, swelling of the body, headache, fever, or any other danger sign or symptom (e.g., high blood pressure). A categorical variable of knowledge score was created. The outcome variables were defined as ≥ 4 ANC vs. 0–3 ANC; ≥ 4 PNC vs. 0–3 PNC visits; institutional vs. non-institutional deliveries. A multivariable generalized linear model (GLM) was used. Results Data were used from 9,190 ever-married women, aged 13–49 years, who gave birth in the past two years. It was found that 56%, 22% and 2% of women sought healthcare for institutional delivery, ≥ 4 ANC, ≥ 4 PNC visits, respectively, and that women’s knowledge is a strong predictor of healthcare seeking [odds ratio (OR)1.77(1.54–2.05), 2.28(1.99–2.61), and 2.78 (2.34–3.32) on knowledge of 1, 2, and 3–5 signs or symptoms, respectively, in women with ≥ 4 ANC visits when compared with women who knew none of the signs or symptoms. In women with ≥ 4 PNC visits, it was 1.80(1.12–2.90), 2.22(1.42–3.48), and 3.33(2.00–5.54), respectively. In women with institutional deliveries, it was 1.49(1.32–1.68), 2.02(1.78–2.28), and 2.34(1.95–2.79), respectively. Other strong predictors were women’s education level, multiparity, residential areas (urban vs. rural), socioeconomic status, access to mass media (radio, TV, the internet), access of women to health workers for birth, and decision-making for women where to deliver. However, age of women was not a strong predictor. Conclusion Our findings suggest that pregnant women’s healthcare seeking behaviour is influenced by women’s knowledge of danger signs and symptoms during pregnancy, women’s education, socioeconomic status, access to media, husband’s, in-laws’ and relatives’ decisions, residential area, multiparity, and access to health workers. The findings have implications for promoting safe motherhood and childbirth practices through improving women’s knowledge, education, and social status