Masks and respirators for prevention of respiratory infections: a state of the science review.

SUMMARYThis narrative review and meta-analysis summarizes a broad evidence base on the benefits-and also the practicalities, disbenefits, harms and personal, sociocultural and environmental impacts-of masks and masking. Our synthesis of evidence from over 100 published reviews and selected primary studies, including re-analyzing contested meta-analyses of key clinical trials, produced seven key findings. First, there is strong and consistent evidence for airborne transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory pathogens. Second, masks are, if correctly and consistently worn, effective in reducing transmission of respiratory diseases and show a dose-response effect. Third, respirators are significantly more effective than medical or cloth masks. Fourth, mask mandates are, overall, effective in reducing community transmission of respiratory pathogens. Fifth, masks are important sociocultural symbols; non-adherence to masking is sometimes linked to political and ideological beliefs and to widely circulated mis- or disinformation. Sixth, while there is much evidence that masks are not generally harmful to the general population, masking may be relatively contraindicated in individuals with certain medical conditions, who may require exemption. Furthermore, certain groups (notably D/deaf people) are disadvantaged when others are masked. Finally, there are risks to the environment from single-use masks and respirators. We propose an agenda for future research, including improved characterization of the situations in which masking should be recommended or mandated; attention to comfort and acceptability; generalized and disability-focused communication support in settings where masks are worn; and development and testing of novel materials and designs for improved filtration, breathability, and environmental impact.

Contents of antenatal care services in Afghanistan: findings from the national health survey 2018.

BACKGROUND: Maternal and newborn mortality is a public health concern in low- and middle-income countries (LMICs), including Afghanistan, where the evolving socio-political circumstances have added new complexities to healthcare service delivery. Birth outcomes for both pregnant women and their newborns are improved if women receive benefits of quality antenatal care (ANC). OBJECTIVES: This study aimed to assess the contents of ANC services and identify predictors of utilization of services by pregnant women during ANC visits to health facilities in Afghanistan. METHODS: In this cross-sectional study, we used data from the Afghanistan Health Survey 2018 (AHS2018). We included a total of 6,627 ever-married women, aged 14-49 years, who had given birth in the past 2 years or were pregnant at the time of survey and had consulted a health worker for ANC services in a health facility. The outcome was defined as 1-4 services and 5-8 services that a pregnant woman received during an ANC visit. The services were (i) taking a pregnant woman's blood pressure, (ii) weighing her, (iii) testing her blood, (iv) testing her urine, (v) providing advice on nutrition, (vi) advising about complicated pregnancy, (vii) advising about the availability of health services, and (viii) giving her at least one dose of Tetanus Toxoid (TT) vaccine. The binary outcome (1-4 services versus 5-8 services) was used in a multivariable logistic regression model. RESULTS: Of all 6,627 women, 31.4% (2,083) received 5-8 services during ANC visits. Only 1.3% (86) received all 8 services, with 98.7% (6,541) receiving between 1 and 7 services, and 71.6% (4,745) women had their blood pressure measured during ANC visits. The likelihood (adOR = Adjusted Odds Ratio) of receiving 5-8 services was higher in women who could read and write (adOR = 1.33: 1.15-1.54), in women whose husbands could read and write (adOR = 1.14: 1.00-1.28), in primipara women (adOR = 1.42: 1.02-1.98), in women who knew one danger sign (adOR = 5.38: 4.50-6.45), those who knew 2 danger signs (adOR = 8.51: 7.12-10.19) and those who knew ≥ 3 danger signs (adOR = 13.19: 10.67-16.29) of complicated pregnancy, and in women who had almost daily access to TV (adOR = 1.16: 1.01-1.33). However, the likelihood of receiving 5-8 services was lower in women who used private clinics (adOR = 0.64: 0.55-0.74) and who received services from nurses (adOR = 0.27 (0.08-0.88). CONCLUSION: Our findings have the potential to influence the design and implementation of ANC services of health interventions to improve the delivery of services to pregnant women during ANC visits.

Predictors of non-adherence to antihypertensive medications: A cross-sectional study from a regional hospital in Afghanistan.

BACKGROUND: Non-adherence to antihypertensive medications (AHMs) is a widespread problem. Cardiovascular morbidity and mortality reduction is possible via better adherence rates among hypertensive patients. OBJECTIVES: This study aimed to assess the prevalence of non-adherence to AHMs and its predictors among hypertensive patients who attended Mirwais Regional Hospital in Kandahar, Afghanistan. METHODS: A cross-sectional study using random sampling method was conducted among hypertensive patients, aged ≥18 years in Mirwais Regional Hospital at a 6-month follow-up between October and December 2022. To assess non-adherence to AHMs, we employed the Hill-Bone Medication Adherence scale. A value below or equal to 80% of the total score was used to signify non-adherence. A multivariable binary logistic regression model was used to identify predictors of non-adherence to AHMs. RESULTS: We used data from 669 patients and found that 47.9% (95%CI: 44.1-51.8%) of them were non-adherent to AHMs. The majority (71.2%) of patients had poorly controlled blood pressure (BP). The likelihood of non-adherence to AHMs was significantly higher among patients from low monthly-income households [Adjusted odds ratio (AOR) 1.70 (95%CI: 1.13-2.55)], those with daily intake of multiple AHMs [AOR 2.02 (1.29-3.16)], presence of comorbid medical conditions [AOR 1.68 (1.05-2.67), lack of awareness of hypertension-related complications [AOR 2.40 (1.59-3.63)], and presence of depressive symptoms [AOR 1.65 (1.14-2.38)]. CONCLUSION: Non-adherence to AHMs was high. Non-adherence to AHMs is a potential risk factor for uncontrolled hypertension and subsequent cardiovascular complications. Policymakers and clinicians should implement evidence-based interventions to address factors undermining AHMs adherence in Afghanistan.

Risk of cardiovascular disease in cancer survivors: A cohort study of 446,384 New Zealand primary care patients.

BACKGROUND: Given advances in the management of cancer, it is increasingly important for clinicians to appropriately manage the risk of cardiovascular disease (CVD) among cancer survivors. It is unclear whether CVD risk is increased among cancer survivors overall, and there is inconsistency in evidence to date about CVD incidence and mortality by cancer type. METHODS: Patients aged 30-74 years entered an open cohort study at the time of first CVD risk assessment, between 2004 and 2018, in primary care in New Zealand. Patients with established CVD or cancer within 2 years prior to study entry were excluded. Cancer diagnosis (1995-2016) was determined from a national cancer registry. Cause-specific hazard models were used to examine the association between history of cancer and two outcomes: (1) CVD-related hospitalization and/or death and (2) CVD death. RESULTS: The study included 446,384 patients, of whom 14,263 (3.2%) were cancer survivors. Risk of CVD hospitalization and/or death was increased among cancer survivors compared with patients without cancer at cohort entry (multivariable-adjusted hazard ratio, mHR, 1.11, 95% CI 1.05-1.18), more so for CVD death (1.31, 1.14-1.52). Risk of CVD hospitalization and/or death was increased in patients with myeloma (2.66, 1.60-4.42), lung cancer (2.19, 1.48-3.24) and non-Hodgkin lymphoma (1.90, 1.42-2.54), but not for some cancers (e.g., colorectal, 0.87, 0.71-1.06). Risk of CVD death was increased in several cancer types including melanoma (1.73, 1.25-2.38) and breast cancer (1.56, 1.16-2.11). CONCLUSION: CVD risk management needs to be prioritized among cancer survivors overall, and particularly in those with myeloma, lung cancer and non-Hodgkin lymphoma given consistent evidence of increased risk.

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

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.

Sociodemographic Predictors of Initiating Antenatal Care Visits by Pregnant Women During First Trimester of Pregnancy: Findings from the Afghanistan Health Survey 2018.

Purpose: Initiating antenatal care (ANC) visits by pregnant women during first trimester, known as timely initiation of ANC visits, is crucial for wellbeing of mothers and their unborn babies. We examined whether sociodemographic characteristics of pregnant women predict timely initiation of ANC visits. Patients and Methods: Data collected for the Afghanistan Health Survey 2018 (AHS 2018) were analyzed. A binary outcome variable was created as women with ANC visits in 0-3 months (first trimester) vs women with ANC visits in ≥4 months of pregnancy. A multivariable generalized linear model was employed. Results: A total of 6862 ever-married women, aged 14-49 years, with a history of pregnancy, including current pregnancy, were included. The prevalence of timely initiation of ANC visits was 55.8%. The likelihood (OR = odds ratio) of timely initiation of ANC visits was higher in women aged 30-39 years [OR 1.12 (95% CI: 1.00-1.25)], in women who could read and write [OR 1.12 (95% CI: 0.99-1.21)], in women who used public primary care facilities [OR 1.14 (95% CI: 1.01-1.28)], in women who received consultation on ANC from a doctor or midwife [OR 1.22 (95% CI: 0.72-2.08), OR 1.13 (95% CI: 0.67-1.92)] respectively, in women at fourth and highest quintiles of wealth status [OR 1.24 (95% CI: 1.04-1.48), OR 1.14 (95% CI: 0.92-1.40)] respectively, in women who intended to become pregnant [OR 1.56 (95% CI: 1.35-1.81)], in women who used the internet [OR 1.53 (95% CI: 1.13-2.06)], and in women who listened to radio [OR 1.16 (95% CI: 1.03-1.30)]. However, the likelihood was lower in women who had given birth at least twice [OR 0.67 (95% CI: 0.50-0.89)], and in women who lived in rural areas [OR 0.87 (95% CI: 0.75-1.00)]. Conclusion: To promote timely initiation of ANC visits, healthcare interventions to increase availability of midwives and doctors, and improve accessibility to primary care clinics, especially in rural areas, need to be implemented.

Performance of cardiovascular disease risk prediction equations in more than 14 000 survivors of cancer in New Zealand primary care: a validation study.

BACKGROUND: People with cancer have an increased risk of cardiovascular disease. Risk prediction equations developed in New Zealand accurately predict 5-year cardiovascular disease risk in a general primary care population in the country. We assessed the performance of these equations for survivors of cancer in New Zealand. METHODS: For this validation study, patients aged 30-74 years from the PREDICT open cohort study, which was used to develop the New Zealand cardiovascular disease risk prediction equations, were included in the analysis if they had a primary diagnosis of invasive cancer at least 2 years before the date of the first cardiovascular disease risk assessment. The risk prediction equations are sex-specific and include the following predictors: age, ethnicity, socioeconomic deprivation index, family history of cardiovascular disease, smoking status, history of atrial fibrillation and diabetes, systolic blood pressure, total cholesterol to HDL cholesterol ratio, and preventive pharmacotherapy (blood-pressure-lowering, lipid-lowering, and antithrombotic drugs). Calibration was assessed by comparing the mean predicted 5-year cardiovascular disease risk, estimated using the risk prediction equations, with the observed risk across deciles of risk, for men and women, and according to the three clinical 5-year cardiovascular disease risk groups in New Zealand guidelines (<5%, 5% to <15%, and ≥15%). Discrimination was assessed by Harrell's C statistic. FINDINGS: 14 263 patients were included in the study. The mean age was 61 years (SD 9) for men and 60 years (SD 8) for women, with a median follow-up of 5·8 years for men and 5·7 years for women. The observed cardiovascular disease risk was underpredicted by a maximum of 2·5% in male and 3·2% in female decile groups. When patients were grouped according to clinical risk groups, observed cardiovascular disease risk was underpredicted by less than 2% in the lower risk groups and overpredicted by 2·2% for men and 3·3% for women in the highest risk group. Harrell's C statistics were 0·67 (SE 0·01) for men and 0·73 (0·01) for women. INTERPRETATION: The New Zealand cardiovascular disease risk prediction equations reasonably predicted the observed 5-year cardiovascular disease risk in survivors of cancer in the country, in whom risk prediction was considered clinically appropriate. Prediction could be improved by adding cancer-specific variables and considering competing risks. Our findings suggest that the equations are reasonable clinical tools for use in survivors of cancer in New Zealand. FUNDING: Auckland Medical Research Foundation, Health Research Council of New Zealand.

Predictors of Mothers' Care Seeking Behavior for Common Childhood Illnesses: Findings From the Afghanistan Health Survey 2015.

BACKGROUND: Mothers' care seeking behavior for childhood illness is a key factor of utilizing healthcare for children. We examined predictors of mothers' care seeking for common childhood illnesses. METHODS: This was a cross-sectional study, using data from the Afghanistan Health Survey (AHS) 2015. Data were used from women who sought healthcare for their unwell children. The women were asked whether their children were sick with fever, cough, faster breathing, or diarrhea in the past 2 weeks. The outcome variable was defined as whether the mother sought healthcare for her unwell child from a public clinic, a private clinic, or from a pharmacy store. The Andersen's healthcare seeking behavior model was used and multinomial regression analysis applied. RESULTS: There were 4979 women, aged 15-49 years, whose under-5 children were sick in the past 2 weeks. Thirty-nine percent of women sought healthcare for their children from a health provider. Mother's age, child's age, child's sex, socioeconomic status, mothers' perceived severity of childhood illness, and number of under-5 children were predictors of mothers' care seeking behavior. The likelihood of healthcare seeking was lower for older children (Adjusted odds ratio [OR] [95% CI]: 0.51 [0.37-0.70] from public clinics; 0.33 [0.23-0.47] from private clinics; 0.36 [0.22-0.61] from pharmacy stores), and for girls (Adjusted OR [95% CI]: 0.74 [0.59-0.93] from private clinics). The likelihood of healthcare seeking was greater for children whose mothers knew symptoms of childhood illness (Adjusted OR [95% CI]: 2.97 [1.44-6.16] from public clinics; 7.20 [3.04-17.04] from pharmacy stores). The likelihood of healthcare seeking for children was greater in older mothers (Adjusted OR [95% CI]: 1.54 [1.11-2.12]). It was less likely for the mothers who have more children to seek healthcare for their children (Adjusted OR [95% CI]: 0.53 [0.43-0.65] from public clinics; 0.61 [0.48- 0.79] from private clinics; 0.51 [0.37-0.69] from pharmacy stores). CONCLUSION: Health policy-makers may opt to use our findings, particularly mothers' knowledge (perceived severity) of symptoms of childhood illness to develop interventions to enhance timely assessment and effective treatment of common preventable childhood illnesses.

Does the prevalence of promotions on foods and beverages vary by product healthiness? A population-based study of household food and drink purchases in New Zealand.

OBJECTIVE: To assess the prevalence of promotions on foods and non-alcoholic drinks purchased by New Zealand households and to determine if they vary according to healthiness of products. DESIGN: We undertook a cross-sectional analysis of Nielsen New Zealand Homescan® 2018/19 panel data. We conducted multivariate analyses to examine the variability in quantities of healthy v. unhealthy food and beverage products purchased on promotion. Promotion was self-reported by the panellist. Healthiness of products was measured by the Health Star Rating (HSR) system. We also carried out a subgroup analysis for beverages according to the threshold of < 5 g v. ≥ 5 g sugar per 100 ml content of products. SETTING: The Nielsen New Zealand Homescan® data were linked with two New Zealand Food Composition Databases (Nutritrack and the FOODfiles). PARTICIPANTS: Food and beverage purchases data by 1800 panel households were used. RESULTS: Overall, 46 % (1 803 601/3 940 458) of all purchases made were on promotion. Compared with purchases of food and beverage products with HSR < 3·5 (unhealthy), food and beverage products with HSR ≥ 3·5 (healthy) were significantly less likely to be on promotion (OR = 0·78, 95 % CI 0·77, 0·79). The subgroup analysis for beverages shows that products with < 5 g sugar per 100 ml were significantly less likely to be on promotion than those with ≥ 5 g sugar per 100 ml (OR = 0·77, 95 % CI 0·75, 0·79). CONCLUSIONS: Policies to improve healthy food retailing should focus on increasing the promotion of healthier food and drink options in stores and supermarkets.

Comparison of Healthiness, Labelling, and Price between Private and Branded Label Packaged Foods in New Zealand (2015-2019).

We aimed to compare New Zealand private label (PL) and branded label (BL) packaged food products in relation to their current (2019) healthiness (sodium and sugar contents, and estimated Health Star Rating (HSR) score), display of the voluntary HSR nutrition label on the package, and price. Healthiness and HSR display of products were also explored over time (2015 to 2019). Data were obtained from Nutritrack, a brand-specific food composition database. Means and proportions were compared using Student t-tests and Pearson chi-square tests, respectively. Changes over time were assessed using linear regression and chi-square tests for trends (Mantel-Haenzel tests). Altogether, 4266 PL and 19,318 BL products across 21 food categories were included. Overall, PL products in 2019 had a significantly lower mean sodium content and price, a higher proportion of products with estimated HSR ≥ 3.5/5 (48.9% vs. 38.5%) and were more likely to display the HSR on the pack compared with BL products (92.4% vs. 17.2%, respectively). However, for most food categories, no significant difference was found in mean sodium or sugar content between PL and BL products. In the period 2015-2019, there were no consistent changes in estimated HSR score, sodium or sugar contents of PL or BL products, but there was an increase in the proportion of both PL and BL products displaying HSR labels. In most food categories, there were PL options available which were similar in nutritional composition, more likely to be labelled with the HSR, and lower in cost than their branded counterparts.

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.

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.

A food environments feedback system (FoodBack) for empowering citizens and change agents to create healthier community food places.

This study developed a systems-based approach (called FoodBack) to empower citizens and change agents to create healthier community food places. Formative evaluations were held with citizens and change agents in six diverse New Zealand communities, supplemented by semi-structured interviews with 85 change agents in Auckland and Hamilton in 2015-2016. The emerging system was additionally reviewed by public health experts from diverse organizations. A food environments feedback system was constructed to crowdsource key indicators of the healthiness of diverse community food places (i.e. schools, hospitals, supermarkets, fast food outlets, sport centers) and outdoor spaces (i.e. around schools), comments/pictures about barriers and facilitators to healthy eating and exemplar stories on improving the healthiness of food environments. All the information collected is centrally processed and translated into 'short' (immediate) and 'long' (after analyses) feedback loops to stimulate actions to create healthier food places. FoodBack, as a comprehensive food environment feedback system (with evidence databases and feedback and recognition processes), has the potential to increase food sovereignty, and generate a sustainable, fine-grained database of food environments for real-time food policy research.

Effects of results-based financing of maternal and child health services on patient satisfaction in Afghanistan.

OBJECTIVE: To examine the impact of a results-based financing programme on patient satisfaction in Afghanistan. METHODS: We analysed data collected from over 3000 patients from a stratified sample of 112 health facilities (56 results-based financing and 56 non-results-based financing) in 11 out of the 34 provinces of Afghanistan over a three-year period. The 112 facilities were part of 442 primary care facilities that were stratified on facility type and randomly assigned to the results-based financing (intervention) and non-results-based financing (control) groups in the 11 provinces. Data were obtained from the National Health Service Performance Assessment, a baseline survey of patients conducted in 2010, and two follow-up surveys in 2011 and 2012. Measurement of patient satisfaction used a questionnaire comprising 11 questions concerning overall satisfaction, and satisfaction with specific aspects of care, from provider behaviour (e.g. respectfulness, communication) to cleanliness, opening hours and waiting times of facilities. We used a regression adjusted difference-in-differences estimator to investigate the treatment effect on patient satisfaction at facility level. RESULTS: There were some improvements in patient satisfaction in results-based financing facilities but these were not statistically significant. In 2011, 2 out of 11 aspects of satisfaction showed 5% improvement: satisfaction with the way health care providers explained the patient's condition and treatment. In 2012, patient satisfaction was higher for almost all aspects of care in results-based financing facilities, including the two aspects on health care provider respectfulness and facility opening hours, which had been 5% lower in results-based financing facilities than in non-results-based financing facilities in 2011. Overall satisfaction was almost 10% higher in results-based financing facilities than in non-results-based financing facilities in 2012. CONCLUSION: Even if not statistically significant, observed trends suggest some positive impacts of the results-based financing programme on patient satisfaction.

Comparing initial and follow-up responders to a New Zealand patient experience survey.

AIM: This study investigates non-response bias in an inpatient experience survey with a low response rate by comparing sociodemographic characteristics and response behaviours of initial responders with responders to follow-up, and further explores the factors contributing to non-response. Prior research suggests non-response may be endogenously related to patient characteristics. METHOD: We re-contacted a convenience sample of non-responders to a nationally representative, cross-sectional inpatient survey conducted in New Zealand. Participants were given a subset of six items drawn from the initial survey and the opportunity to disclose reasons for non-response. Responders to follow-up (n=163) were subsequently compared with responders to the initial survey (n=910) using chi-squared tests of association and logistic regression to assess differences in sociodemographic variables and substantive responses. RESULTS: We find no significant differences in the responses given by initial and follow-up responders. The most common reasons for non-response were "can't remember" (33%), not receiving the survey (25%) or being too busy at the time (25%). CONCLUSION: Responders to follow-up have similar experiences of inpatient care in New Zealand to initial responders. Further study is needed to strengthen inferences regarding hard-to-reach patients.

Development and validation of a new predictive model for breast cancer survival in New Zealand and comparison to the Nottingham prognostic index.

BACKGROUND: The only available predictive models for the outcome of breast cancer patients in New Zealand (NZ) are based on data in other countries. We aimed to develop and validate a predictive model using NZ data for this population, and compare its performance to a widely used overseas model, the Nottingham Prognostic Index (NPI). METHODS: We developed a model to predict 10-year breast cancer-specific survival, using data collected prospectively in the largest population-based regional breast cancer registry in NZ (Auckland, 9182 patients), and assessed its performance in this data set (internal validation) and in an independent NZ population-based series of 2625 patients in Waikato (external validation). The data included all women with primary invasive breast cancer diagnosed from 1 June 2000 to 30 June 2014, with follow up to death or Dec 31, 2014. We used multivariate Cox proportional hazards regression to assess predictors and to calculate predicted 10-year breast cancer mortality, and therefore survival, probability for each patient. We assessed observed survival by the Kaplan Meier method. We assessed discrimination by the C statistic, and calibration by comparing predicted and observed survival rates for patients in 10 groups ordered by predicted 10-year survival. We compared this NZ model with the Nottingham Prognostic Index (NPI) in this validation data set. RESULTS: Discrimination was good: C statistics were 0.84 for internal validity and 0.83 for an independent external validity. For calibration, for both internal and external validity the predicted 10-year survival probabilities in all groups of patients, ordered by predicted survival, were within the 95% confidence intervals (CI) of the observed Kaplan-Meier survival probabilities. The NZ model showed good discrimination even within the prognostic groups defined by the NPI. CONCLUSIONS: These results for the New Zealand model show good internal and external validity, transportability, and potential clinical value of the model, and its clear superiority over the NPI. Further research is needed to assess other potential predictors, to assess the model's performance in specific subgroups of patients, and to compare it to other models, which have been developed in other countries and have not yet been tested in NZ.