Questions related to Health Outcomes
I'm designing a study to estimate the proportion of girls having challenges accessing menstrual health products and materials. The sampling approach I plan to use is a multi-stage clustered sampling design with probability proportional to size. 12 counties with poor educational and sexual and reproductive health outcomes will be selected to participate. Following this, administrative wards will be randomly selected from the 12 counties of interest (Number of wards per county are available online). The wards will be selected systematically with urban/rural stratification from the 12 counties (Not yet sure of the number of wards to include per county - this is part of the question as well). For each sampled ward, a complete list of public primary and secondary schools will be made from which a random selection of schools to participate in the study will be done. Following schools’ selection, random sampling will be used to select adolescent girls from a sampling frame generated from the class registers. Only girls in grades 4-8 meeting the eligibility criteria and those in secondary schools will be included. A situational analysis commissioned by the Ministry of Health in Kenya showed that 54% (58% in rural and 53% in urban areas) of Kenyan girls faced challenges accessing menstrual health hygiene products. From these estimates, how do I calculate my sample size seeing that this is a complex survey or which is the most appropriate formula to use?
I am reviewing some papers and am trying to understand why in a study the researchers have chosen to categorise age of injury (into early age 0-9 and later age 9+) when looking at outcomes. Would it not make sense to leave age as continuous variable? If so how would this be analysed? For context this is to see if age of brain injury predicts or results in poor mental health outcomes. The outcomes can be entered as whole number scores or could be categorised into clinical/non-clinical severities.
I want to conduct a meta-analysis on the association between substance use and mental health outcomes, and I want to do a pooled ORs between these two variables. However, some studies may report their results as a continuous variable (e.g., substance use was associated with a higher PHQ-9 score) instead of a dichotomized variable. What should I do with these studies? I have read papers - some of them did not include those studies, and some said, "Where studies did not report prevalence estimates or ORs, these were calculated from raw data where possible".
Is there a standard approach?
This research question seeks to understand how a lack of physical activity affects mental health. Specifically, it seeks to identify the impact of leading a sedentary lifestyle on the mental well-being of individuals. It will explore any potential correlations between lack of physical activity and mental health issues such as depression, anxiety, and stress. Additionally, this research will investigate potential interventions and strategies that can be used to improve mental health outcomes for those living a sedentary lifestyle.
Nursing is a profession that focuses on patient centered and holistic approach to care and achieving positive health outcomes for patients. However, at times nurses fall short in achieving patient centered and holistic care and positive outcomes.
What are the key ingredients to achieving patient centered care and positive care outcomes for patients in healthcare?
How do make these work in practice?
I am looking for a publicly available database that contains data on maternal demographics as well as their children's health outcomes, cancer incidences, etc.
I am interested in understanding which could be the best spectrum of topics for a research study (academic) in the area of Long-Term Conditions and Telehealth applications knowing that the research project would be undertaken by a Clinician knowledgeable about medicine and care, in addition to frontline processes (in primary, secondary and tertiary care settings), but lacking specialised programming and IT knowledge. Sociotechnical systems theory? To understand the optimal generation of health outcomes in generic contexts?
I am conducting a Systematic Literature Review about the relationship between active transportation modes and mental health and it has been pointed out to me that there are too many mental health outcomes, and I should narrow it down. Accordingly to the most recent knowledge and trends and your expertise on the topic, I would appreciate your opinion.
While color psychology is the study of how different colors can influence human behavior and perception, color therapy is different. It is based upon the unproven assumption that certain colors can impact people's "energy" and impact health outcomes.
To determine the impact of policy implementation on health outcomes (count), I used a difference-in-difference (DID) approach with a negative binomial GEE model.
I would appreciate insight on how to word the DID-interaction for the paper.
Thank you all for your time.
Cost-effectiveness of intervention is estimated by dividing cost of intervention to health outcome. DALY, cases averted, deaths averted etc. are commonly used by studies as health outcome. Can incidence rate be used as health outcome of intervention or how it can be converted to commonly used health outcomes?
I have two questions and hope for some expert advice please?
1. My understanding is that when conducting an economic evaluation of clinical trial data, no discounting of costs is applied if the follow-up period of the trial was 12 months or less. Is this still the standard practice and can you please provide a recent reference?
2. How can one adjust for uncertainties/biases when you use historic health outcomes data? If the trial was non-randomised, how can you adjust for that within an economic evaluation other than the usual probabilistic sensitivity analysis?
Thank you so much.
Preliminary data of various studies showed the proportion of the population from Black (in New York), Asian (UK) and other minority ethnic backgrounds and people from low income are highly deprived with COVID-19. These groups reported higher COVID-19 mortality rates irrespective of population density. Furthermore, most of these minority groups are aged 50-79. Since the epidemic started, several studies have confirmed these findings. It is interesting to discuss the reasons behind these adverse outcomes and also share your experience about COVID-19.
I was wondering if anyone knows of a database containing nationally representative information on individuals with depression, anxiety, or any other measurable mental health outcome. The data I am looking for should be related to the United States.
Any help in this matter is appreciated.
I am exploring the dose-response relationship between intervention use and improvement in health outcomes. The use of intervention component A, B, C, and D are positively correlated to the improved health outcomes. But in the multi linear regression, the beta value of component C become negative, and multicollinearity test have VIF<5. How to interpret/resolve this? Many thanks.
I'm investigating the effect of economic freedom on health outcomes in Sub-saharan Africa. I use panel data which N=37 and T= 19. When I tape xtset idc and year, Stata told me it's strongly balanced. I would like to ask you if I can use the lsdvc estimator method? Or is there another estimator than GMM or 2SLS, because I've use it before
As a part of my PhD, I conducted a study to assess health inequities in Amaravati capital region of Andhra Pradesh using two composite indices made from health determinants indicators and health outcome indicators.
Health outcome indicators data was available at the sub-district level. The data were interpolated to create a heatmap of the health outcome index. Whereas health determinants data was available at the village level. Thus I created a choropleth map using the health determinants index.
Later interpolated health outcome index map was overlayered on the choropleth map of health outcomes. It highlighted some interesting findings, i.e. areas of concern (Villages). The colour combinations created because of overlaying two layers revealed the areas with poor health outcomes and poor health determinants and areas with poor health outcomes with better determinants.
Kindly check these files and give your valuable opinions. Whether this type of analysis can be used to highlight the areas with health inequities or not? Please comment on the method used and the results obtained in the overlayered map.
Please I am designing a study that investigates the linkage between certain health outcomes and wildfire-driven air pollution. Is there a simple way we can derive these air pollutants from fire ignition points?
Thank you for your invaluable suggestions.
I am conducting a study on multiple marginalized identities and mental health outcomes.
What would be the best data analysis I should use to assess the interaction between different variables and the way they intersect with each other.
Climate change disaster is a great amplifier of health inequities. It is already affecting and will continue to affect vulnerable populations’ health and well-being like migrants, both in Canada and internationally. We are conducting a critical scoping review to explore work that has been done to examine and address the needs, challenges, experiences, and health outcomes of immigrant populations. Your critical reflections and suggestion will be helpful.
I am trying to see if there's a connection between globalization and health outcome. Going through the KOFGI data set, there are different categories or forms of globalization which includes : social globalization, financial globalization, trade globalization and more. Also , there's dejure which is the policy that preceded the actual globalization event and defacto which is the actual globalization event. I would appreciate if anyone could suggest a good journal or journals that discussed empirical analysis of the globalization-health outcome nexus.
It is glaring that Medical Data collection in healthcare allows health systems to create holistic views of patients, personalize treatments, advance treatment methods, improve communication between doctors and patients, and enhance health outcomes.
Inconsistent medical data have grave effects on proper planning of health care system. How can the problems of inconsistency in medical data be tackled, in various health institutions?
I am writing a new proposal for my Thesis. I want to know what of the research methodology will be appropriate.
I am currently looking for ways/methods to separate air pollution from mobile (vehicles) and industrial sources, if any. I need this information to be compared to health outcomes later on (YLL, DALY, that kind of analysis).
I do have separate emission information from industrial and vehicle sources for the area, but it's difficult to associate emissions to measured concentrations, and in my viewpoint it would be very questionable to compare emission information to health data later on, which would increase uncertainties even more. As far as I know, most tools for health impact assessment usually require concentration-related data, such as yearly averages (I have limited knowledge of those tools anyway).
I do not have access to any air quality modelling involving the industrial pollution, so my first thought was to use data from the monitoring stations located near industrial sites here (we have a handful of those monitoring points), which are representative of that type of exposure. Another option would be to investigate the PM composition, but I would like to avoid this option since it involves lab procedures which are time-consuming and costly, etc.
Any help or insights will be welcomed, thank you!
Currently I am doing research about ASeAn countries in environment and health outcomes
There is always missing data for variable health expenditures and energy consumption for certain countries in ASeaN during period of 1990-2017
Hello dear colleagues!
Can someone kindly explain to me what is endogeneity is, how to determine it and eliminate it using simple words? I am using a regression model in my research, where I examine the impact of migration on health outcomes of children left behind. What in this case could be endogeneity? Thank you in advance.
For my master's thesis, I am using meta-analytic techniques to explore the relationship between LGBTQ community connectedness and indicators of physical health. I am conducting multilevel meta-analyses in order to include multiple effect sizes from the same articles while accounting for the nested structure of the data. I am using the metafor package in R to run my analyses and I would like to run a separate meta-analysis for each of the four health outcomes that I am investigating. I am new to R and I am wondering if there is a specific command that I can use to calculate four separate overall effect sizes (one for each of the four health outcome variables) and test moderators for each of the four effect sizes separately. So far, I have only been able to calculate one overall effect size for the whole data set.
Metabolomics, the study of small molecules in biological systems, is the comprehensive analysis of all metabolites of an organism. It has the potential to improve exposure measures and delineate mechanistic links between exposures and potential health outcome. Moreover, metabolomics has the potential to measure patterns of exposure-specific biologic perturbations. I would be happy to have your opinion on the role of metabolomics in exposure assessment science.
Assessment of study quality usually aims to develop a tool which is universal for all disciplines using a specific study methodology. However, the implementation of new methods may require further criteria to ascertain the validity of results - Which domains should be additionally addressed by observational studies investigating the associations between metabolomics and health outcomes?
In terms of food interaction and confounding, are associations with health outcomes likely to be direct, or could it be explained by other factors such as decreased consumption of other foods? How would design a study to address this question?
I am a doctoral student in Public Health and about to begin my dissertation process and was excited to learn a little about this theory. My topic is related to improving health outcomes for African American women in Texas and this theory would fit well. I would like to have more information about this theory to justify its use in my research. Thank you!
I am looking at results of two types of “predictor” analyses on a longitudinal cohort of 150 children.
the question is “does socioeconomic status (SES) at the time of birth predict health outcomes during the first 5 yesars of life?“
the first approach was a simple multiple regression analysis where SES at birth was the predictor variable and health outcomes at age 5 years (e.g. weight, height inflammation etc) the response variables
eg: does SES at birth predict weight at age 5 years
confounders were identified and controlled for
the second approach was taken where GLMMs were developed to examine SES at birth as a predictor of health outcomes at each year of life (at age 1, age 2, age 3 and so forth to age 5 years)
confounders adjusted for
repeated measures and attrition - all accounted for
SES is further catagorised into indexes that examine slightly different aspects of SES advantage or disadvantage: so you can examine index of education and occupation at birth, or index of economic resource etc and we looked at each of these SES indexes as predictors
The results are different: the index of education and occupation score at birth predicted certain age related outcomes in the GLMM model, but didn’t predict outcomes in multiple regression analysis of health outcomes at 5. Different SES indexes emerged as significant predictors of different health outcomes between the two anlayses in a nutshell
I am happy to accept the differences are related to the way the data was analysed, the temporal component etc and both sets of results have important messages.
Can someone kindly explain in simple language why the results would differ? I think it maybe to do with the first regression analysis producing averaged odds ratios for the study population and the GLMM er - well - not doing that and ? considering the inter-individual characteristics - oh god I don’t understand!! I give up;.
thanks for any help here folks. I need to help to interpret these results and why we see differences here between the two analyses (how to interpret the results). Google has not been forthcoming!
I am looking for recent research on "functional addicts or alcoholics" who are still employed and went through out-patient treatment. I does not have to be published work, it could be internal outcome studies. In particular, I am interested in job retention or mental health outcome measures.
Any pointers or papers are much appreciated.
Health care services are becoming costly and for many difficult to access. In effect the number of people suffering from preventable illnesses and accidents is alarming. There are studies that indicate that ignorance about health is a crosscutting issue that exacerbates ill health irrespective of socio economic differences. Existing theories and models of health communication/education mostly assume that scocio economic status determine health outcomes. The type of illness may vary, but one way or the other the number of people suffering from preventable illness whether chronic and/or communicable diseases, including accidents is increasing irrespective of socio economic status.
I am looking at remote health. And focussed upon finding innovative ways of solving the challenge of improving the health outcomes among remote populations. Remoteness is a condition, an actor, in the network construction of the human body - is one way of constructing the human body.
I'm attempting to summarize the literature on prevention or intervention mental health clinical trials in athletes.
I'm looking at the opportunities and barriers for a national pharmacare program.
If you're interested in health outcomes, I would suggest looking at the CLEAN Meds project by Nav Persaud.
The percentage of human health outcome attributed to the urban environment varies in the literature. Of course everyone is measuring a different concept. Such as built environment, or determinants of health, or preventable disease.
I am interested in different sources and ways that the environments that we ourselves manage, design, built and govern is being assessed as impacting on our health? What percentages are being supported in the literature?
I am interested to look for the relationship between XXX and different health outcomes among people living with type 2 diabetes. However, I found a similar systematic review looking into the same issues (although some outcome may vary) covering both type 1 and type 2 diabetes. On the ground of that systematic review being published in 2011 (new literatures to be added) and the conclusion being drawn covering both type 1 and type 2 diabetes, do you think it will be a new contribution if I focus only on type 2 diabetes?
there is global interest to introduce and promote nutrition sensitive agriculture to improve the nutrition and health outcomes of the peoples. but the concept of NSA in policy and program developer is not well understood. so can you elaborate me the nutrition sensitive agriculture and its advantage overcoming the chronic nutrition and health problems in developing countries
I am working on a project relating renewable energy consumption to health outcomes in Nigeria.
My model contains 4 variables, 3 of which are I(1) variables, and the last one an I(2) variable. The I(2) variable is Life expectancy at birth (for Nigeria), and it is my dependent variable. Others are renewable energy consumption per capita, GNI per capita, and CO2 emissions (in metric tons per capita), all for Nigeria.
Is cointegration possible? If yes, which technique exactly? Do I have to find a proxy for life expectancy?
Thanks for anticipated responses.
I'm a very new PhD student, may I ask all researcher to share your experience regarding to the international comparative study between developed and developing countries in the theme of long working hours and its negative health outcome in particular coronary heart disease and work stress, is it possible? what's a major problem that I will be faced and how can I overcome it? all suggestions are highly appreciated.
A growing body of evidence in the literature suggests that there is a clear link between household air pollution (HAP) and poor health outcomes, especially in the developing world. However, it is evident from searching the literature that little is known and empirical evidence is mixed about whether improved cookstoves and cleaner fuels deliver their purported health benefits.
The VAS is a commonly used tool in health outcome studies, when using it to assess importance of certain action or intervention, how we can interpret the results, for example on 1 to 10 line (where 1; the least and the 10; the highest), the average of importance was 4 out of 10, what does that mean? and if we want to identify the level of importance (very important, important, somewhat important, not important), where are the cut off point for each level? to say for example, one third of student view this intervention is very important.
Can we interpret the result as 1-5 is not important and 6 to 10 is important.
The data is one time only assessment not before and after and there is a higher response rate among mothers
I have 600 baskets. Each contains upto 15 types of fruit. Each fruit maybe ripe, ripening, unripe or rotten.
Each basket has demografic like data eg season picked, density of orchard, hrs of sunlight, water availability.
I wish to build a parsimonius model having identified by pca which variates are the most informative predictors of achieving 7 or more ripe fruits/ basket.
My question centers on whether it would be correct to undertake a PCA comprising the demographic variates AND whether a basket had >=7 ripe fruits, otherwise how the demo variates linked to predicting fruit ripeness?
I apologize in advance for being hazy on the archetypal jargon of guassian this and vector that, although I think i know how to undertake a PCA. But I would value answers which avoided jargon where possible
As a non-profit CHDA with health outcome funds, we encounter cases of children with EBLLs during our home rehabilitation and lead remediation. We are wanting to build a coalition to support the children and their families during the home rehabilitation process and provide needed medical services. What communities are successful and how did they achieve successes? Resources welcome!
I am looking for software or preferably an excel template to compare mean values of a health outcome measure across studies e.g. comparing average steps/day or BMI. I do not have access to raw/individual data and am NOT looking for a t-test for individual data. I have a series of studies that have reported mean outcomes and SD or 95%CI, I want to combine in a forest plot and assess whether they differ and heterogeneity and overall effect size. I'd appreciate any help!
If anyone can help with this I'd greatly appreciate it! I'm trying to consolidate my ideas for a thesis proposal and feeling a bit lost! I would like to investigate how the relationships between self-esteem, alcohol use and mental health outcomes differ between males and females. My hypothesis is that the relationship between self-esteem and alcohol use will be stronger in males than females and the relationship between self-esteem and mental health outcomes will be stronger in females than in males. I will be using the Rosenberg self-esteem scale, the DASS to measure mental health outcomes and the Alcohol Dependence Scale.
Can anyone help with the kind of design I would need to use and the best statistical analysis to use?
I would like to know what were technical, practical challenges with integratation of various country-, regional- and provider-level health data and how you overcome them (i.e. from problem to solution).
Hi everyone with experience,
I am working on a systematic review project on Type 2 Diabetes Mellitus. I was organizing the main outcomes that are retrieved from the literature. However, I have some difficulties where to classify Quality of life, vitality, general health and role functioning outcomes. I was wondering which category fits best for these outcomes? 1. Cognitive and psychosocial measures, 2. Long-term impact measures.
I appreciate your timely response in advance. Thank you.
I am Interested in working on bioaerosol and its role in nosocomial infections in hospital. Especially how pathogens identified in hospital air is explicitly related to nosocomial infection or health outcome. But I need concrete dose-response relationships to establish epidemiological outcome which has been difficult so far. Because of potential confounders which may be difficult to adjust. Note that this is an epidemiological study borrowing microbiological risk assessment techniques. Any advice on the way forward?
I am working on a research which aims to develop a risk score to predict critical /bad outcomes of preterm babies. As there are several outcomes but can collectively be called as critical outcomes is it possible for me to develop a single risk score? The risk factors for different outcomes may differ.
I am interested in air pollution and health studies and I am looking for an accurate wearable GPS logger. I have read about HeraLogger GPS. Is it a good and appropriate one? Where can I order a GPS logger?
I've recently been wondering about overdiagnosis and problem with treating people to target surrogate markers and not health outcomes.
There is evidence that stress is mediating the effect of diet on body weight (Peters, A et al).
Is there also evidence on whether (reduction of) stress may be involved in the beneficial health effects of leisure physical exercise?
I am working on my master's thesis and will be testing models that have facets of health as the outcome. Specifically, I am looking at:
- physical health (i.e., health problems, such as hypertension, pain, vision problems),
- functional health (i.e., how health problems impair or limit daily functioning, such as working, sleeping, seeing),
I'm thinking that these facets of health are formed by their indicators, rather than the indicators being reflective of the facet of health. But can an argument be made in favor of reflective?
Related, if I do treat these are formative, what are the implications for treating these latent variables as endogenous outcomes? I've read Diamantopoulos et al (2008) and I am not sure how, or if any recommendations for formative latent variables change if the latent variable is the outcome.
If it helps in any way, most of my indicators are categorical, but I also have a few continuous. I was planning on using robust weighted least squares as my estimator and conducting my analyses in Mplus.
Thank you in advance, and let me know if you need more details.
The SRS scores reported in scoliosis series are highly variable. Some authors use SRS22, others SRS30. Some papers report SRS as mean for each domain, and others report a total score. How can I convert these scores into a single one in order to do a meta-analysis? Do you have any reference?
Alisson R. Teles
So far, I am aware of the use of generic QoL instruments like the SF-36 (or similar tools) for this purpose. These might not sufficiently address areas of health impacted by smoking.
Cortisol measurements as part of large epidemiological studies are valuable for a number of health outcomes - however, the cost of an assay in a hair sample is prohibitive in many settings. Would appreciate any direction to reliable, validated and cheaper options.
I'm specifically looking at the intergenerational aspect of historical trauma in Native Americans and its relationship to adverse health outcomes (cortisol effects maybe?).
There's some great info re: relationship of HT to mental health issues (Maria Yellow Horse Brave Heart, Eduardo/Bonnie Duran and Joseph Gone) and some re: Holocaust survivors (Baronowsky), but looking for more info and anything you might know of specifically related to physiologic changes? Many thanks!
Health Policy globally needs redesign to include “social determinants of health” There is a need to reorganize care around achieving value for patients. In order to improve health outcomes for patients, we first need to define all the activities that are likely to enhance health for specific segments of the population. Health care redesign should essentially include into clinical settings the activities that will influence the social factors (address social needs, such as a lack of housing or access to adequate food) that are intertwined with health. How important it is for clinicians to associate personnel with expertise in social determinants of health to support patients?
I am currently considering a Lean Sigma Project for the implementation of new geriatric care principles including an Assessment Tool. I am interested in information related to other facilities who have implemented such a program. I am curious if anyone has been able to analyze health outcomes related to implementation of a Geriatric Assessment Tool? or if anyone has been able to document an economic impact ....I would like to determine which allied health professionals are conducting these assessments and if mid-level practitioners are able to bill for this "Provider Service"
There are several sources for this data, but I am not sure if there are validations of these ratios. They also are for specific years. Do people use them across years or do they adjust for inflation, changes over time, etc?
Cost-effectiveness analyses commonly use EDSS to measure the progression of MS, are there other commonly collected measures of the progression of MS that would better capture disability?
I am developing a questionnaire to assess the QALY gain/loss attached to a (temporary, short term) procedure. We are considering TTO (both standard and waiting time trade off) but I cannot find much in the literature about how to ensure the questions posed are valid and will return useful values. It was suggested that I look in the field of experimental economics, but I have so far failed to find much of use. Please can anyone offer any advise/evidence/publications?