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BMC Psychiatry Jul 2014Mental disorders constitute a major public health problem globally with higher burden in low and middle-income countries. In Bangladesh, systematically-collected data on... (Review)
Review
BACKGROUND
Mental disorders constitute a major public health problem globally with higher burden in low and middle-income countries. In Bangladesh, systematically-collected data on mental disorders are scarce and this leaves the extent of the problem not so well defined. We reviewed the literature on mental health disorders in Bangladesh to summarize the available data and identify evidence gaps.
METHODS
We identified relevant literature on mental disorders within Bangladesh published between 1975 and October, 2013 through a systematic and comprehensive search. Relevant information from the selected articles was extracted and presented in tables.
RESULTS
We identified 32 articles which met our pre-defined eligibility criteria. The reported prevalence of mental disorders varied from 6.5 to 31.0% among adults and from 13.4 to 22.9% among children. Some awareness regarding mental health disorders exists at community level. There is a negative attitude towards treatment of those affected and treatment is not a priority in health care delivery. Mental health services are concentrated around tertiary care hospitals in big cities and absent in primary care.
CONCLUSIONS
The burden of mental disorders is high in Bangladesh, yet a largely unrecognized and under-researched area. To improve the mental health services in Bangladesh, further well-designed epidemiological and clinical research are needed.
Topics: Adult; Bangladesh; Child; Data Collection; Delivery of Health Care; Humans; Mental Disorders; Mental Health Services
PubMed: 25073970
DOI: 10.1186/s12888-014-0216-9 -
International Journal of Public Health Jul 2018To systematically review the literature and compare response rates (RRs) of web surveys to alternative data collection methods in the context of epidemiologic and public... (Review)
Review
OBJECTIVES
To systematically review the literature and compare response rates (RRs) of web surveys to alternative data collection methods in the context of epidemiologic and public health studies.
METHODS
We reviewed the literature using PubMed, LILACS, SciELO, WebSM, and Google Scholar databases. We selected epidemiologic and public health studies that considered the general population and used two parallel data collection methods, being one web-based. RR differences were analyzed using two-sample test of proportions, and pooled using random effects. We investigated agreement using Bland-and-Altman, and correlation using Pearson's coefficient.
RESULTS
We selected 19 studies (nine randomized trials). The RR of the web-based data collection was 12.9 percentage points (p.p.) lower (95% CI = - 19.0, - 6.8) than the alternative methods, and 15.7 p.p. lower (95% CI = - 24.2, - 7.3) considering only randomized trials. Monetary incentives did not reduce the RR differences. A strong positive correlation (r = 0.83) between the RRs was observed.
CONCLUSIONS
Web-based data collection present lower RRs compared to alternative methods. However, it is not recommended to interpret this as a meta-analytical evidence due to the high heterogeneity of the studies.
Topics: Biomedical Research; Data Collection; Humans; Internet; Public Health; Randomized Controlled Trials as Topic; Surveys and Questionnaires
PubMed: 29691594
DOI: 10.1007/s00038-018-1108-4 -
BMC Psychiatry Jul 2017Mental health is a significant contributor to global burden of disease and the consequences of perinatal psychiatric morbidity can be substantial. We aimed to obtain... (Review)
Review
BACKGROUND
Mental health is a significant contributor to global burden of disease and the consequences of perinatal psychiatric morbidity can be substantial. We aimed to obtain global estimates of puerperal psychosis prevalence based on population-based samples and to understand how postpartum psychosis is assessed and captured among included studies.
METHODS
In June 2014, we searched PubMed, CiNAHL, EMBASE, PsycINFO, Sociological Collections, and Global Index Medicus for publications since the year 1990. Criteria for inclusion in the systematic review were: use of primary data relevant to pre-defined mental health conditions, specified dates of data collection, limited to data from 1990 onwards, sample size >200 and a clear description of methodology. Data were extracted from published peer reviewed articles.
RESULTS
The search yielded 24,273 publications, of which six studies met the criteria. Five studies reported incidence of puerperal psychosis (ranging from 0.89 to 2.6 in 1000 women) and one reported prevalence of psychosis (5 in 1000). Due to the heterogeneity of methodologies used across studies in definitions and assessments used to identify cases, data was not pooled to calculate a global estimate of risk.
CONCLUSIONS
This review confirms the relatively low rate of puerperal psychosis; yet given the potential for serious consequences, this morbidity is significant from a global public health perspective. Further attention to consistent detection of puerperal psychosis can help provide appropriate treatment to prevent harmful consequences for both mother and baby.
Topics: Female; Global Health; Humans; Incidence; Postpartum Period; Pregnancy; Prevalence; Psychotic Disorders; Puerperal Disorders
PubMed: 28754094
DOI: 10.1186/s12888-017-1427-7 -
BMC Nephrology Mar 2015Patient registries have great potential for providing data that describe disease burden, treatments, and outcomes; which can be used to improve patient care. Many renal... (Review)
Review
BACKGROUND
Patient registries have great potential for providing data that describe disease burden, treatments, and outcomes; which can be used to improve patient care. Many renal registries exist, but a central repository of their scope, quality, and accessibility is lacking. The objective of this study was to identify and assess worldwide renal registries reporting on renal replacement therapy and compile a list of those most suitable for use by a broad range of researchers.
METHODS
Renal registries were identified through a systematic literature review and internet research. Inclusion criteria included information on dialysis use (yes/no), patient counts ≥300, and evidence of activity between June 2007 and June 2012. Public availability of information on dialysis modality, outcomes, and patient characteristics as well as accessibility of patient-level data for external research were evaluated.
RESULTS
Of 144 identified renal registries, 48 met inclusion criteria, 23 of which were from Europe. Public accessibility to annual reports, publications, or basic data was good for 17 registries and moderate for 22. Patient-level data were available to external researchers either directly or through application and review (which may include usage fees) for 13 of the 48 registries, and were inaccessible or accessibility was unknown for 25.
CONCLUSIONS
The lack of available data, particularly in emerging economies, leaves information gaps about health care and outcomes for patients with renal disease. Effective multistakeholder collaborations could help to develop renal registries where they are absent, or enhance data collection and dissemination for currently existing registries to improve patient care.
Topics: Female; Global Health; Humans; Kidney Failure, Chronic; Male; Peritoneal Dialysis; Prevalence; Registries; Renal Dialysis; Survival Analysis
PubMed: 25886028
DOI: 10.1186/s12882-015-0028-2 -
The Cochrane Database of Systematic... Oct 2015It is estimated that about 40% of pregnancies in the world are unintended and that the major part of these are unwanted. There are several reasons no or ineffective... (Review)
Review
BACKGROUND
It is estimated that about 40% of pregnancies in the world are unintended and that the major part of these are unwanted. There are several reasons no or ineffective contraception is used to prevent these pregnancies, including difficulty in obtaining contraceptives. The lactational amenorrhoea method (LAM) is a contraceptive method where the mother is informed and supported in how to use breastfeeding for contraception. LAM is available and accessible to many women.
OBJECTIVES
To assess the effectiveness of LAM, as defined in the 1988 Bellagio Consensus statement, as a contraceptive method in fully breastfeeding women, who remain amenorrheic, using pregnancy and menstruation life tables.
SEARCH METHODS
We searched MEDLINE, EMBASE, POPLINE, and LILACS to 10 October 2014; reference lists of studies; review articles; books related to LAM; published abstracts from breastfeeding, reproductive health conferences; e-mails with study coordinators.
SELECTION CRITERIA
Out of 459 potentially relevant studies, 159 investigated the risk of pregnancy during LAM or lactational amenorrhoea. Our inclusion criteria were as follows: prospective study; cases (intervention group) and, if available, controls, had to be sexually active; pregnancy had to be confirmed by physical examination or a pregnancy test. Our endpoints were life table menstruation rates and life table pregnancy rates. We included 15 studies reporting on 11 intervention groups and three control groups. We identified one additional uncontrolled study in the 2007 update and one additional controlled study in this 2015 update.
DATA COLLECTION AND ANALYSIS
Two review authors independently extracted data, resolving disagreements through discussion. We analysed the studies using narrative methods because of their heterogeneity.
MAIN RESULTS
For the primary outcome, pregnancy, two controlled studies of LAM users reported life table pregnancy rates at six months of 0.45% and 2.45%, one controlled study reported 5% pregnancies in the absence of life table rates per month, and eight uncontrolled studies of LAM users reported pregnancy rates of 0% to 7.5%. Life table pregnancy rates for fully breastfeeding women who were amenorrheic but not using any contraceptive method were 0.88% in one study and 0.9% to 1.2% (95% confidence interval 0.0 to 2.4) in a second study, depending on the definition of menstruation used. The life table menstruation rate at six months in all studies varied between 11.1% and 39.4%.
AUTHORS' CONCLUSIONS
We found no clear differences in life table pregnancy rates between women using LAM and being supported in doing so, and fully breastfeeding amenorrheic women not using any method. As the length of lactation amenorrhoea in women using LAM differed greatly between the populations studied, and was population specific, it is uncertain whether LAM extends lactational amenorrhoea.
Topics: Amenorrhea; Breast Feeding; Contraception; Contraception Behavior; Family Planning Services; Female; Humans; Lactation; Life Tables; Menstruation; Postpartum Period; Pregnancy; Pregnancy Rate
PubMed: 26457821
DOI: 10.1002/14651858.CD001329.pub2 -
Journal of Medical Internet Research Oct 2023Reddit's (Reddit Inc) large user base, diverse communities, and anonymity make it a useful platform for substance use research. Despite a growing body of literature on... (Review)
Review
BACKGROUND
Reddit's (Reddit Inc) large user base, diverse communities, and anonymity make it a useful platform for substance use research. Despite a growing body of literature on substance use on Reddit, challenges and limitations must be carefully considered. However, no systematic scoping review has been conducted on the use of Reddit as a data source for substance use research.
OBJECTIVE
This review aims to investigate the use of Reddit for studying substance use by examining previous studies' objectives, reasons, limitations, and methods for using Reddit. In addition, we discuss the implications and contributions of previous studies and identify gaps in the literature that require further attention.
METHODS
A total of 7 databases were searched using keyword combinations including Reddit and substance-related keywords in April 2022. The initial search resulted in 456 articles, and 227 articles remained after removing duplicates. All included studies were peer reviewed, empirical, available in full text, and pertinent to Reddit and substance use, and they were all written in English. After screening, 60 articles met the eligibility criteria for the review, with 57 articles identified from the initial database search and 3 from the ancestry search. A codebook was developed, and qualitative content analysis was performed to extract relevant evidence related to the research questions.
RESULTS
The use of Reddit for studying substance use has grown steadily since 2015, with a sharp increase in 2021. The primary objective was to identify tendencies and patterns in various types of substance use discussions (52/60, 87%). Reddit was also used to explore unique user experiences, propose methodologies, investigate user interactions, and develop interventions. A total of 9 reasons for using Reddit to study substance use were identified, such as the platform's anonymity, its widespread popularity, and the explicit topics of subreddits. However, 7 limitations were noted, including the platform's low representativeness of the general population with substance use and the lack of demographic information. Most studies use application programming interfaces for data collection and quantitative approaches for analysis, with few using qualitative approaches. Machine learning algorithms are commonly used for natural language processing tasks. The theoretical, methodological, and practical implications and contributions of the included articles are summarized and discussed. The most prevalent practical implications are investigating prevailing topics in Reddit discussions, providing recommendations for clinical practices and policies, and comparing Reddit discussions on substance use across various sources.
CONCLUSIONS
This systematic scoping review provides an overview of Reddit's use as a data source for substance use research. Although the limitations of Reddit data must be considered, analyzing them can be useful for understanding patterns and user experiences related to substance use. Our review also highlights gaps in the literature and suggests avenues for future research.
Topics: Humans; Algorithms; Data Collection; Databases, Factual; Language; Substance-Related Disorders
PubMed: 37878361
DOI: 10.2196/48905 -
Journal of Medical Internet Research Jan 2021A population-level survey (PLS) is an essential and standard method used in public health research that supports the quantification of sociodemographic events, public...
BACKGROUND
A population-level survey (PLS) is an essential and standard method used in public health research that supports the quantification of sociodemographic events, public health policy development, and intervention designs. Data collection mechanisms in PLS seem to be a significant determinant in avoiding mistakes. Using electronic devices such as smartphones and tablet computers improves the quality and cost-effectiveness of public health surveys. However, there is a lack of systematic evidence to show the potential impact of electronic data collection tools on data quality and cost reduction in interviewer-administered surveys compared with the standard paper-based data collection system.
OBJECTIVE
This systematic review aims to evaluate the impact of the interviewer-administered electronic data collection methods on data quality and cost reduction in PLS compared with traditional methods.
METHODS
We conducted a systematic search of MEDLINE, CINAHL, PsycINFO, the Web of Science, EconLit, Cochrane CENTRAL, and CDSR to identify relevant studies from 2008 to 2018. We included randomized and nonrandomized studies that examined data quality and cost reduction outcomes, as well as usability, user experience, and usage parameters. In total, 2 independent authors screened the title and abstract, and extracted data from selected papers. A third author mediated any disagreements. The review authors used EndNote for deduplication and Rayyan for screening.
RESULTS
Our search produced 3817 papers. After deduplication, we screened 2533 papers, and 14 fulfilled the inclusion criteria. None of the studies were randomized controlled trials; most had a quasi-experimental design, for example, comparative experimental evaluation studies nested on other ongoing cross-sectional surveys. A total of 4 comparative evaluations, 2 pre-post intervention comparative evaluations, 2 retrospective comparative evaluations, and 4 one-arm noncomparative studies were included. Meta-analysis was not possible because of the heterogeneity in study designs, types, study settings, and level of outcome measurements. Individual paper synthesis showed that electronic data collection systems provided good quality data and delivered faster compared with paper-based data collection systems. Only 2 studies linked cost and data quality outcomes to describe the cost-effectiveness of electronic data collection systems. Field data collectors reported that an electronic data collection system was a feasible, acceptable, and preferable tool for their work. Onsite data error prevention, fast data submission, and easy-to-handle devices were the comparative advantages offered by electronic data collection systems. Challenges during implementation included technical difficulties, accidental data loss, device theft, security concerns, power surges, and internet connection problems.
CONCLUSIONS
Although evidence exists of the comparative advantages of electronic data collection compared with paper-based methods, the included studies were not methodologically rigorous enough to combine. More rigorous studies are needed to compare paper and electronic data collection systems in public health surveys considering data quality, work efficiency, and cost reduction.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR2-10.2196/10678.
Topics: Cost-Benefit Analysis; Cross-Sectional Studies; Data Accuracy; Health Surveys; Humans; Public Health; Retrospective Studies
PubMed: 33480859
DOI: 10.2196/21382 -
Journal of the American Academy of... May 2021The distinction between race and ethnicity should be carefully understood and described for demographic data collection. Racial healthcare differences have been observed...
BACKGROUND
The distinction between race and ethnicity should be carefully understood and described for demographic data collection. Racial healthcare differences have been observed across many orthopaedic subspecialties. However, the frequency of reporting and analyzing race and ethnicity in orthopaedic clinical trials has not been determined. Therefore, the primary purpose of this systematic review was to determine how frequently race and ethnicity are reported and analyzed in orthopaedic clinical trials.
METHODS
The top 10 journals by impact factor in the field of orthopaedics were manually screened from 2015 to 2019. All randomized controlled trials related to orthopaedics and assessing clinical outcomes were included. Eligible studies were evaluated for bias using the Cochrane risk-of-bias tool and for whether the trial reported and analyzed several demographics, including age, sex, height, weight, race, and ethnicity. The frequency of reporting and analyzing by each demographic was accessed. In addition, comparisons of reporting and analyzing race/ethnicity were made based on orthopaedic subspecialty and journal of publication.
RESULTS
A total of 15,488 publications were screened and 482 met inclusion criteria. Of these 482 trials, 460 (95.4%) reported age and 456 (94.6%) reported sex, whereas 35 (7.3%) reported race and 15 (3.1%) reported ethnicity for the randomized groups; 79 studies (16.4%) analyzed age and 72 studies (14.9%) analyzed sex, whereas 6 studies (1.2%) analyzed race and 1 study (0.2%) analyzed ethnicity. The orthopaedic subspecialty of spine was found to report race (23.5%) and ethnicity (17.6%) more frequently than all the other subspecialties, whereas sports medicine reported race and/or ethnicity in only 3 of 150 trials (2.0%).
CONCLUSIONS
Race and ethnicity are not frequently reported or analyzed in orthopaedic randomized controlled trials. Social context, personal challenges, and economic challenges should be considered while analyzing the effect of race and ethnicity on outcomes.
Topics: Aged; Bias; Data Collection; Ethnicity; Humans; Orthopedic Procedures; Orthopedics
PubMed: 34019498
DOI: 10.5435/JAAOSGlobal-D-21-00027 -
Journal of Affective Disorders Dec 2022Post-Traumatic Stress Disorder (PTSD) is considered as a prevalent outcome of the COVID-19 pandemic. This study aimed to present a global picture of the prevalence of... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Post-Traumatic Stress Disorder (PTSD) is considered as a prevalent outcome of the COVID-19 pandemic. This study aimed to present a global picture of the prevalence of PTSD in high-risk groups for COVID-19 (HRGs-COVID19) and determine its risk factors.
METHODS
Cross-sectional studies published between March 11, 2020, and October 11, 2021, in English, were searched in seven databases on the prevalence of PTSD in HRGs-COVID19. After screening the retrieved records, their quality was assessed, and the required data were extracted. R-4.1.3 software and random effect model with 95 % confidence interval (CI) were used to synthesize and analyze the data.
RESULTS
The pooled prevalence of PTSD in HRGs-COVID19 was 30 % (95 % CI: 21-39 %). The pooled prevalence of PTSD was significantly different in terms of the variables of data collection during the lockdown, gender, and data collection season (P < 0.05). Subgroup analyses could not identify sources of heterogeneity.
LIMITATIONS
The included studies did not cover all HRGs-COVID19 such as smokers and the elderly.
CONCLUSION
Considering the higher pooled prevalence of PTSD in HRGs-COVID19 than the general population, COVID-19 patients, and health care workers, prioritizing this subgroup for prevention and treatment of psychological outcomes is highly recommended. Predicting and implementing psychological interventions early in the pandemic is more critical when applying restrictive measures and among HRGs-COVID19 women.
Topics: Humans; Female; Aged; Pandemics; COVID-19; Cross-Sectional Studies; Communicable Disease Control; Stress Disorders, Post-Traumatic; Prevalence
PubMed: 36174783
DOI: 10.1016/j.jad.2022.09.053 -
Journal of Medical Internet Research Mar 2017As Twitter has grown in popularity to 313 million monthly active users, researchers have increasingly been using it as a data source for tobacco-related research. (Review)
Review
BACKGROUND
As Twitter has grown in popularity to 313 million monthly active users, researchers have increasingly been using it as a data source for tobacco-related research.
OBJECTIVE
The objective of this systematic review was to assess the methodological approaches of categorically coded tobacco Twitter data and make recommendations for future studies.
METHODS
Data sources included PsycINFO, Web of Science, PubMed, ABI/INFORM, Communication Source, and Tobacco Regulatory Science. Searches were limited to peer-reviewed journals and conference proceedings in English from January 2006 to July 2016. The initial search identified 274 articles using a Twitter keyword and a tobacco keyword. One coder reviewed all abstracts and identified 27 articles that met the following inclusion criteria: (1) original research, (2) focused on tobacco or a tobacco product, (3) analyzed Twitter data, and (4) coded Twitter data categorically. One coder extracted data collection and coding methods.
RESULTS
E-cigarettes were the most common type of Twitter data analyzed, followed by specific tobacco campaigns. The most prevalent data sources were Gnip and Twitter's Streaming application programming interface (API). The primary methods of coding were hand-coding and machine learning. The studies predominantly coded for relevance, sentiment, theme, user or account, and location of user.
CONCLUSIONS
Standards for data collection and coding should be developed to be able to more easily compare and replicate tobacco-related Twitter results. Additional recommendations include the following: sample Twitter's databases multiple times, make a distinction between message attitude and emotional tone for sentiment, code images and URLs, and analyze user profiles. Being relatively novel and widely used among adolescents and black and Hispanic individuals, Twitter could provide a rich source of tobacco surveillance data among vulnerable populations.
Topics: Data Collection; Electronic Nicotine Delivery Systems; Humans; Smoking; Social Marketing; Social Media; Tobacco Products
PubMed: 28363883
DOI: 10.2196/jmir.7022