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The effect of food prescription programs on chronic disease management in primarily low-income populations: A systematic review and meta-analysis.

ABSTRACT: Background: Having low-income limits one's ability to purchase foods that are high in nutritional value (e.g. vegetables and fruits (V/F)). Higher V/F intake is associated with less diet-related chronic disease. Food pharmacy programs are potential solutions to providing V/F to low-income populations with or at-risk for chronic disease. Aim: This systematic review aimed to determine the effect of food pharmacy programs, including interventions targeting populations at-risk for chronic disease. Methods: We searched Pubmed and Google Scholar databases for studies reporting on food pharmacy interventions and outcomes (hemoglobin A1c, body mass index (BMI), V/F intake, and blood pressure). We calculated pooled mean differences using a random-effects model. Seventeen studies met our inclusion criteria; 13 studies used a pre/post study design, three used a randomized controlled trial, and one was a post-survey only. Results: We found that the pooled mean daily servings of V/F (0.77; 95% CI: 0.30 to 1.24) was higher and BMI (-0.40; 95% CI: -0.50 to -0.31) was lower with food pharmacy interventions We did not find any differences in the pooled mean differences for hemoglobin A1c or systolic blood pressure. Conclusion: Findings posit that food pharmacy programs delivered to primarily low-income individuals with comorbidities may be a promising solution to improving V/F intake and possibly overall diet in these populations.

SUBMITTER: Haslam A

PROVIDER: S-EPMC10150796 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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The effect of food prescription programs on chronic disease management in primarily low-income populations: A systematic review and meta-analysis.

Haslam Alyson A Gill Jennifer J Taniguchi Tori T Love Charlotte C Jernigan Valarie Bluebird VB

Nutrition and health 20220202 3

<b>Background:</b> Having low-income limits one's ability to purchase foods that are high in nutritional value (e.g. vegetables and fruits (V/F)). Higher V/F intake is associated with less diet-related chronic disease. Food pharmacy programs are potential solutions to providing V/F to low-income populations with or at-risk for chronic disease. <b>Aim:</b> This systematic review aimed to determine the effect of food pharmacy programs, including interventions targeting populations at-risk for chro ...[more]

PMID: 35108144

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Project description:BackgroundThe widespread use of antibiotics plays a major role in the development and spread of antimicrobial resistance. However, important knowledge gaps still exist regarding the extent of their use in low- and middle-income countries (LMICs), particularly at the primary care level. We performed a systematic review and meta-analysis of studies conducted in primary care in LMICs to estimate the prevalence of antibiotic prescriptions as well as the proportion of such prescriptions that are inappropriate.Methods and findingsWe searched PubMed, Embase, Global Health, and CENTRAL for articles published between 1 January 2010 and 4 April 2019 without language restrictions. We subsequently updated our search on PubMed only to capture publications up to 11 March 2020. Studies conducted in LMICs (defined as per the World Bank criteria) reporting data on medicine use in primary care were included. Three reviewers independently screened citations by title and abstract, whereas the full-text evaluation of all selected records was performed by 2 reviewers, who also conducted data extraction and quality assessment. A modified version of a tool developed by Hoy and colleagues was utilized to evaluate the risk of bias of each included study. Meta-analyses using random-effects models were performed to identify the proportion of patients receiving antibiotics. The WHO Access, Watch, and Reserve (AWaRe) framework was used to classify prescribed antibiotics. We identified 48 studies from 27 LMICs, mostly conducted in the public sector and in urban areas, and predominantly based on medical records abstraction and/or drug prescription audits. The pooled prevalence proportion of antibiotic prescribing was 52% (95% CI: 51%-53%), with a prediction interval of 44%-60%. Individual studies' estimates were consistent across settings. Only 9 studies assessed rationality, and the proportion of inappropriate prescription among patients with various conditions ranged from 8% to 100%. Among 16 studies in 15 countries that reported details on prescribed antibiotics, Access-group antibiotics accounted for more than 60% of the total in 12 countries. The interpretation of pooled estimates is limited by the considerable between-study heterogeneity. Also, most of the available studies suffer from methodological issues and report insufficient details to assess appropriateness of prescription.ConclusionsAntibiotics are highly prescribed in primary care across LMICs. Although a subset of studies reported a high proportion of inappropriate use, the true extent could not be assessed due to methodological limitations. Yet, our findings highlight the need for urgent action to improve prescription practices, starting from the integration of WHO treatment recommendations and the AWaRe classification into national guidelines.Trial registrationPROSPERO registration number: CRD42019123269.

Project description:Globally antibiotics are among the most commonly used drugs. Non-prescription use of antibiotics is a major factor for the emergence and spread of antimicrobial resistance one of the top global public health and development threats. This systematic review and meta-analysis aim to assess non-prescription antibiotic use and predictors among children in Low and middle-income countries.A comprehensive search of electronic databases was conducted from PubMed, Scopus and HINARI to identify primary studies published between 2000 and 2024. Observational studies conducted among children ≤ 18 years old and published in English language were included in the review. After screening, the studies were assessed using Joanna Briggs Institute (JBI) critical appraisal tool and data were extracted using a checklist. Heterogeneity was assessed using forest plot, Chocran's Q Test and I2. The random effects meta-analysis model was employed to pool the prevalence of non-prescription antibiotic use among children in low-and middle-income countries. Sub-group analysis and meta-regression were performed to identify the sources of heterogeneity. Publication bias was assessed using funnel plots with Egger's test.The review was conducted among 32 cross-sectional studies with a sample size of 80,133 participants. The pooled prevalence of non-prescription antibiotic use among children in low-and middle-income countries was 38.86% (95% CI 34.32, 43.40; P < 0.0001) with high heterogeneity (I2 = 99.38%, p < 0.001). The prevalence of non-prescribed antibiotic use among studies conducted in upper middle-income countries (30.85% (24.49%, 37.21%)) was low when compared to studies conducted in LMICs (44.00% (37.72%, 52.09%). Penicillin was the most often antibiotic class used without prescription, while upper respiratory infections were the most prevalent illness/symptoms that prompted non-prescription antibiotic use.The pooled prevalence of non-prescription antibiotic use among children in low-and middle-income countries is high indicating that two out of five children used non-prescribed antibiotics. This review is important for international organizations, ministry of health of the low-and middle- income countries, regulatory bodies and researchers.

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The effect of food prescription programs on chronic disease management in primarily low-income populations: A systematic review and meta-analysis.

Publications

The effect of food prescription programs on chronic disease management in primarily low-income populations: A systematic review and meta-analysis.

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