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Bulletin of the World Health... Oct 2023To consolidate recent information on elimination and eradication goals for infectious diseases and clarify the definitions and associated terminology for different goals. (Review)
Review
OBJECTIVE
To consolidate recent information on elimination and eradication goals for infectious diseases and clarify the definitions and associated terminology for different goals.
METHODS
We conducted a systematic search of the World Health Organization's Institutional Repository for Information Sharing (WHO IRIS) and a customized systematic Google advanced search for documents published between 2008 and 2022 on elimination or eradication strategies for infectious conditions authored by WHO or other leading health organizations. We extracted information on names of infectious conditions, the elimination and eradication goals and timelines, definitions of goals, non-standardized terminology, targets and assessment processes.
FINDINGS
We identified nine goals for 27 infectious conditions, ranging from disease control to eradication. In comparison with the hierarchy of disease control, as defined at the Dahlem Workshop in 1997, six goals related to disease control with varying levels of advancement, two related to elimination and one to eradication. Goals progressed along a disease-control continuum, such as end of disease epidemic to pre-elimination to elimination as a public health problem or threat. We identified the use of non-standardized terminology with certain goals, including elimination, of disease epidemics, public health and public health
CONCLUSION
As we approach the 2030 target date to achieve many of the goals related to disease control and for other infections to become candidates for elimination in the future, clarity of definitions and objectives is important for public health professionals and policy-makers to avoid misperceptions and miscommunication.
Topics: Humans; Goals; Disease Eradication; Public Health; Global Health; Communicable Diseases
PubMed: 37772196
DOI: 10.2471/BLT.23.289676 -
Social Science & Medicine (1982) Jan 2015In low- and middle-income countries (LMICs), naturally occurring social networks may be particularly vital to health outcomes as extended webs of social ties often are... (Review)
Review
In low- and middle-income countries (LMICs), naturally occurring social networks may be particularly vital to health outcomes as extended webs of social ties often are the principal source of various resources. Understanding how social network structure, and influential individuals within the network, may amplify the effects of interventions in LMICs, by creating, for example, cascade effects to non-targeted participants, presents an opportunity to improve the efficiency and effectiveness of public health interventions in such settings. We conducted a systematic review of PubMed, Econlit, Sociological Abstracts, and PsycINFO to identify a sample of 17 sociocentric network papers (arising from 10 studies) that specifically examined health issues in LMICs. We also separately selected to review 19 sociocentric network papers (arising from 10 other studies) on development topics related to wellbeing in LMICs. First, to provide a methodological resource, we discuss the sociocentric network study designs employed in the selected papers, and then provide a catalog of 105 name generator questions used to measure social ties across all the LMIC network papers (including both ego- and sociocentric network papers) cited in this review. Second, we show that network composition, individual network centrality, and network structure are associated with important health behaviors and health and development outcomes in different contexts across multiple levels of analysis and across distinct network types. Lastly, we highlight the opportunities for health researchers and practitioners in LMICs to 1) design effective studies and interventions in LMICs that account for the sociocentric network positions of certain individuals and overall network structure, 2) measure the spread of outcomes or intervention externalities, and 3) enhance the effectiveness and efficiency of aid based on knowledge of social structure. In summary, human health and wellbeing are connected through complex webs of dynamic social relationships. Harnessing such information may be especially important in contexts where resources are limited and people depend on their direct and indirect connections for support.
Topics: Developing Countries; Health Behavior; Humans; Public Health; Social Support
PubMed: 25442969
DOI: 10.1016/j.socscimed.2014.08.019 -
Journal of Orthopaedic Surgery and... Dec 2022In the emergency room, clinicians spend a lot of time and are exposed to mental stress. In addition, fracture classification is important for determining the surgical...
BACKGROUND
In the emergency room, clinicians spend a lot of time and are exposed to mental stress. In addition, fracture classification is important for determining the surgical method and restoring the patient's mobility. Recently, with the help of computers using artificial intelligence (AI) or machine learning (ML), diagnosis and classification of hip fractures can be performed easily and quickly. The purpose of this systematic review is to search for studies that diagnose and classify for hip fracture using AI or ML, organize the results of each study, analyze the usefulness of this technology and its future use value.
METHODS
PubMed Central, OVID Medline, Cochrane Collaboration Library, Web of Science, EMBASE, and AHRQ databases were searched to identify relevant studies published up to June 2022 with English language restriction. The following search terms were used [All Fields] AND (", "[MeSH Terms] OR (""[All Fields] AND "bone"[All Fields]) OR "bone fractures"[All Fields] OR "fracture"[All Fields]). The following information was extracted from the included articles: authors, publication year, study period, type of image, type of fracture, number of patient or used images, fracture classification, reference diagnosis of fracture diagnosis and classification, and augments of each studies. In addition, AI name, CNN architecture type, ROI or important region labeling, data input proportion in training/validation/test, and diagnosis accuracy/AUC, classification accuracy/AUC of each studies were also extracted.
RESULTS
In 14 finally included studies, the accuracy of diagnosis for hip fracture by AI was 79.3-98%, and the accuracy of fracture diagnosis in AI aided humans was 90.5-97.1. The accuracy of human fracture diagnosis was 77.5-93.5. AUC of fracture diagnosis by AI was 0.905-0.99. The accuracy of fracture classification by AI was 86-98.5 and AUC was 0.873-1.0. The forest plot represented that the mean AI diagnosis accuracy was 0.92, the mean AI diagnosis AUC was 0.969, the mean AI classification accuracy was 0.914, and the mean AI classification AUC was 0.933. Among the included studies, the architecture based on the GoogLeNet architectural model or the DenseNet architectural model was the most common with three each. Among the data input proportions, the study with the lowest training rate was 57%, and the study with the highest training rate was 95%. In 14 studies, 5 studies used Grad-CAM for highlight important regions.
CONCLUSION
We expected that our study may be helpful in making judgments about the use of AI in the diagnosis and classification of hip fractures. It is clear that AI is a tool that can help medical staff reduce the time and effort required for hip fracture diagnosis with high accuracy. Further studies are needed to determine what effect this causes in actual clinical situations.
Topics: Humans; Artificial Intelligence; Hip Fractures; Machine Learning; Databases, Factual; Emergency Service, Hospital
PubMed: 36456982
DOI: 10.1186/s13018-022-03408-7 -
Competition and price among brand-name drugs in the same class: A systematic review of the evidence.PLoS Medicine Jul 2019Some experts have proposed combating rising drug prices by promoting brand-brand competition, a situation that is supposed to arise when multiple US Food and Drug...
BACKGROUND
Some experts have proposed combating rising drug prices by promoting brand-brand competition, a situation that is supposed to arise when multiple US Food and Drug Administration (FDA)-approved brand-name products in the same class are indicated for the same condition. However, numerous reports exist of price increases following the introduction of brand-name competition, suggesting that it may not be effective. We performed a systematic literature review of the peer-reviewed health policy and economics literature to better understand the interplay between new drug entry and intraclass drug prices.
METHODS AND FINDINGS
We searched PubMed and EconLit for original studies on brand-brand competition in the US market published in English between January 1990 and April 2019. We performed a qualitative synthesis of each study's data, recording its primary objective, methodology, and results. We found 10 empirical investigations, with 1 study each on antihypertensives, anti-infectives, central nervous system stimulants for attention deficit/hyperactivity disorder, disease-modifying therapies for multiple sclerosis, histamine-2 (H2) blockers, and tumor necrosis factor (TNF) inhibitors; 2 studies on cancer medications; and 2 studies on all marketed or new drugs. None of the studies reported that brand-brand competition lowers list prices of existing drugs within a class. The findings of 2 studies suggest that such competition may help restrain how new drug prices are set. Other studies found evidence that brand-brand competition was mediated by the relative quality of competing drugs and the extent to which they are marketed, with safer or more effective new drugs and greater marketing associated with higher intraclass list prices. Our investigation was limited by the studies' use of list rather than net prices and the age of some of the data.
CONCLUSIONS
Our findings suggest that policies to promote brand-brand competition in the US pharmaceutical market, such as accelerating approval of non-first-in-class drugs, will likely not result in lower drug list prices absent additional structural reforms.
Topics: Cost Savings; Cost-Benefit Analysis; Drug Costs; Economic Competition; Health Expenditures; Humans; Marketing of Health Services; Models, Economic; Prescription Drugs
PubMed: 31361747
DOI: 10.1371/journal.pmed.1002872 -
Critical Reviews in Food Science and... Jul 2017This is a first systematic review summarizing 43 years of research from 36 countries for the assessment of cadmium in breast milk, a suitable matrix in human... (Review)
Review
BACKGROUND
This is a first systematic review summarizing 43 years of research from 36 countries for the assessment of cadmium in breast milk, a suitable matrix in human biomonitoring.
OBJECTIVES
To report from the published literature the levels of cadmium in breast milk, and the affecting factors causing increase in cadmium concentrations. In addition, to gather several quantitative data that might be useful to evaluate the international degrees of maternal and infant exposure.
METHODS
We reviewed the literature published between 1971 and 2014, available on Pubmed, Science Direct, and Google Scholar, reporting quantitative data about cadmium levels in human breast milk. Information about the aim of the study, name of the country, period of collection of samples, size of samples, sampling method, time of lactation, mother's age, area of residence, cadmium concentration, and other data were extracted.
RESULTS
Sixty-seven studies were selected and included in this systematic review. Some concentrations greatly exceed the limit set by the World Health Organization (WHO); however, about 50% of the studies had less than 1 µg/L cadmium concentration (recommended by the WHO); as well as many factors have shown their implication in breast milk contamination.
CONCLUSIONS
Breast milk is a pathway of maternal excretion of cadmium. It is also a biological indicator of the degree of environmental pollution and cadmium exposure of the lactating woman and the nourished infant. Therefore, preventive measures and continuous monitoring are necessary.
Topics: Cadmium; Environmental Pollution; Female; Humans; Infant; Infant, Newborn; Milk, Human; Pregnancy
PubMed: 26732189
DOI: 10.1080/10408398.2015.1057633 -
Journal of Medical Internet Research May 2023The prevalence of mental health problems in children and adolescents is high. As these problems can impact this population's developmental trajectories, they constitute... (Review)
Review
BACKGROUND
The prevalence of mental health problems in children and adolescents is high. As these problems can impact this population's developmental trajectories, they constitute a public health concern. This situation is accentuated by the fact that children and adolescents infrequently seek help. Digital health interventions (DHIs) offer an opportunity to bridge the treatment gap between health care needs and patient engagement in care. Additional detailed research is needed to identify how children and adolescents can be empowered to access help through DHIs. In this context, an understanding of their attitudes toward digital health appears to be a necessary first step in facilitating the effective implementation of DHIs.
OBJECTIVE
This study aimed to establish an inventory of children's, adolescents', and their parents' attitudes toward DHIs.
METHODS
A scoping review following PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) recommendations was performed using the MEDLINE, Embase, and PsycINFO databases. This research was conducted using 3 key concepts: "child and adolescent mental health service users," "digital health interventions," and "attitudes." Data extracted included the name of the publishing journal, the methodology used, the target population, the DHI studied, and the principal results.
RESULTS
Of 1548 studies found, 30 (1.94%) were included in our analysis. Among these, 13 concerned satisfaction, 24 concerned preferences, 22 concerned the use of DHI, 11 concerned perception, and 10 concerned needs.
CONCLUSIONS
The results of this study provide a better understanding of the factors influencing children's and adolescents' attitudes toward digital health and DHIs. The continued growth of DHIs can help reduce barriers to mental health care. Future research on these interventions should investigate the needs of the targeted populations to increase their engagement in care.
Topics: Child; Humans; Adolescent; Telemedicine; Parents; Mental Health Services; Patient Participation
PubMed: 37129931
DOI: 10.2196/43102 -
Evidence-based Complementary and... 2020Sleep complaints are common health issues in the general population. These conditions are associated with poorer physical and psychological activity, and they may have... (Review)
Review
BACKGROUND
Sleep complaints are common health issues in the general population. These conditions are associated with poorer physical and psychological activity, and they may have important social, economic, and personal consequences. In the last years, several food supplements with different plant extracts have been developed and are currently taken for improving sleep. . The aim of this study is to systematically review recent literature on oral plant extracts acting on sleep disorders distinguishing their action on the different symptoms of sleep complaints: difficulty in initiating or maintaining sleep, waking up too early, and quality of sleep.
METHODS
We searched the PubMed database up to 05/03/2020 based on data from randomized, double-blind, placebo-controlled trials, noncontrolled trials, and cohort studies conducted in children and adult subjects. The search words used contained the following terms: oral food supplement and sleep disorders and the like. The most studied compounds were further analyzed with a second search using the following terms: name of the compound and sleep disorders. We selected 7 emerging compounds and 38 relevant reports.
RESULTS
Although nutraceutical natural products have been used for sleep empirically, there is a scarcity of evidence on the efficacy of each product in clinical studies. Valerian and lavender were the most frequently studied plant extracts, and their use has been associated (with conflicting results) with anxiolytic effects and improvements in quality and duration of sleep.
CONCLUSIONS
Sleep aids based on plant extracts are generally safe and well tolerated by the population. More high-quality research is needed to confirm the effectiveness of food supplements containing plant extracts in sleep complaints; in particular, it would be interesting to evaluate the association between plant extracts and sleep hygiene guidelines and to identify the optimal products to be used in a specific symptom of sleep complaint, giving more appropriate tools to the medical doctor.
PubMed: 32382286
DOI: 10.1155/2020/3792390 -
Midwifery Oct 2016personalised support provided to women by health professionals is one of the prime factors attaining women's satisfaction during pregnancy and childbirth. However the... (Review)
Review
INTRODUCTION
personalised support provided to women by health professionals is one of the prime factors attaining women's satisfaction during pregnancy and childbirth. However the multifactorial nature of 'satisfaction' makes difficult to assess it. Statistical multivariate analysis may be an effective technique to obtain in depth quantitative evidence of the importance of this factor and its interaction with the other factors involved. This technique allows us to estimate the importance of overall satisfaction in its context and suggest actions for healthcare services.
METHODS
systematic review of studies that quantitatively measure the personal relationship between women and healthcare professionals (gynecologists, obstetricians, nurse, midwifes, etc.) regarding maternity care satisfaction. The literature search focused on studies carried out between 1970 and 2014 that used multivariate analyses and included the woman-caregiver relationship as a factor of their analysis.
RESULTS
twenty-four studies which applied various multivariate analysis tools to different periods of maternity care (antenatal, perinatal, post partum) were selected. The studies included discrete scale scores and questionnaires from women with low-risk pregnancies. The "personal relationship" factor appeared under various names: care received, personalised treatment, professional support, amongst others. The most common multivariate techniques used to assess the percentage of variance explained and the odds ratio of each factor were principal component analysis and logistic regression.
DISCUSSION
the data, variables and factor analysis suggest that continuous, personalised care provided by the usual midwife and delivered within a family or a specialised setting, generates the highest level of satisfaction. In addition, these factors foster the woman's psychological and physiological recovery, often surpassing clinical action (e.g. medicalization and hospital organization) and/or physiological determinants (e.g. pain, pathologies, etc.).
Topics: Female; Humans; Maternal Health Services; Mothers; Patient Satisfaction; Patient-Centered Care; Pregnancy; Professional-Patient Relations; Surveys and Questionnaires
PubMed: 27551856
DOI: 10.1016/j.midw.2016.08.003 -
Infection and Drug Resistance 2022The use of poor quality drugs will have multiple consequences with an extended hazard of growing drug-resistant strains. (Review)
Review
BACKGROUND
The use of poor quality drugs will have multiple consequences with an extended hazard of growing drug-resistant strains.
PURPOSE
The review aimed to provide the quality status of antimalarial drugs in East Africa.
DATA SOURCE
PubMed, Scopus, Web of Science, and Google Scholar were searched from September 5 to September 12, 2021.
STUDY SELECTION
The review included articles available as original research targeted at evaluating the quality of antimalarial drugs. For inclusion, data on at least one of the following quality control parameters were required: packaging and labeling, hardness, friability, weight variation/uniformity of weight, disintegration, dissolution, and assay/percentage purity. Mendeley citation manager version 1.19.4 was used to avoid duplication and organize references, and titles and abstracts were primarily used for screening.
DATA EXTRACTION
The sample collection site, drug name, and the quality control parameters tested were retrieved from the selected studies.
DATA SYNTHESIS
Totally, 300 antimalarial drug samples from Ethiopia, Kenya and Tanzania were included in this review. No antimalarial drug tested failed the identification and disintegration test. However, 15.93% (36/226), 5.00% (15/300), and 1.90% (3/158) of antimalarial samples failed the dissolution, assay and mass uniformity test, respectively. Moreover, amodiaquine and sulfadoxine/pyrimethamine samples failed dissolution and assay tests. In addition, amodiaquine samples failed the mass uniformity test. However, artemether/lumefantrine and quinine passed all quality control parameters tested. Overall, 19.67% (59/300) of antimalarial drug samples did not meet at least one quality control parameter. And the higher faller rate was reported for sulfadoxine/pyrimethamine accounting for 52.86% (37/70).
CONCLUSIONS
An unneglected amount of antimalarial drug failed to meet at least one quality control parameter. Strengthening pharmaceutical management systems, including post-marketing surveillance, and providing the resources required for medication quality assurance, are recommended.
PubMed: 36277242
DOI: 10.2147/IDR.S373059 -
BioMed Research International 2021Rational medicine use is an appropriate prescribing, dispensing, and patient use of medicines for the diagnosis, prevention, and treatment of diseases. It is affected by...
INTRODUCTION
Rational medicine use is an appropriate prescribing, dispensing, and patient use of medicines for the diagnosis, prevention, and treatment of diseases. It is affected by several factors. Irrational use of medicine is a widespread problem at all levels of care. This review is aimed at assessing the medicine use pattern in health facilities of Ethiopia using the medicine use pattern developed by WHO/INRUD.
METHODS
Relevant literature was searched from Google Scholar, PubMed, Hinari, Web of Science, and Scopus using inclusion and exclusion criteria. A systematic review was used to summarize the medicine use pattern in health facilities of Ethiopia, and that WHO core drug use indicators were employed.
RESULT
From 188 searched studies, 30 literatures were reviewed. The average number of drugs per encounter was 2.11. The percentage of encounters with antibiotics and injection was 57.16% and 22.39%, respectively. The percentage of drugs prescribed by generic name and from an essential drug list was 91.56% and 90.19%, respectively. On average, patients spent 5.14 minutes for consultation and 106.52 seconds for dispensing. From prescribed drugs, 67.79% were dispensed, while only 32.25% were labeled adequately. The availability of key essential medicines was 64.87%. The index of rational drug use value was 7.26. Moreover, the index of rational drug prescribing, index of rational patient-care drug use, and index of rational facility-specific drug use were 3.74, 2.51, and 1.01, respectively.
CONCLUSION
Ethiopian health facilities were faced with antibiotic overprescribing, short consultation, and dispensing times, poor labeling of medicines, poor availability of key drugs, and nonadherence to the essential drug list. Routine, multidisciplinary awareness creation, and regulation should be implemented to promote rational medicine use at a national level.
Topics: Cross-Sectional Studies; Drug Prescriptions; Drugs, Essential; Ethiopia; Humans; Medicine; Prospective Studies; Retrospective Studies; World Health Organization
PubMed: 34980999
DOI: 10.1155/2021/7041926