Healthcare Economics - Science topic

Big data refers to the vast volumes of structured, semi-structured, and unstructured data generated at an unprecedented rate. With the advent of technology and the digital age, data is being created and accumulated from numerous sources, such as social media, sensors, financial transactions, and scientific experiments. The ability to collect, store, and analyze this massive amount of data has revolutionized many sectors, including research. In the academic and research world, big data is transforming the way researchers approach questions, analyze patterns and generate insights. With big data, researchers can now analyze trends, predict outcomes and create models with greater accuracy. But with these advancements come new challenges, including the need for appropriate tools, ethical concerns and the ability to interpret vast amounts of information. This article explores the impact of big data on research, the opportunities it presents, the challenges it brings and how researchers can leverage big data to enhance their studies. The Role of Big Data in Research 1. Enhancing research with large-scale data sets Traditionally, research was conducted using small sample sizes, often leading to limited findings and conclusions. With big data, researchers now have access to vast datasets that allow them to analyze trends and patterns on a much larger scale. This is especially useful in fields such as healthcare, economics, and social sciences, where large-scale data can provide more accurate insights. For example, in medical research, large datasets from hospitals and clinical trials help identify trends in disease outbreaks, treatment efficacy and patient outcomes. This is made possible through the integration of electronic health records, wearable devices and other digital data sources. 2. Improved decision-making and predictive analytics Big data empowers researchers to make data-driven decisions with a high degree of accuracy. The ability to analyze large amounts of data allows researchers to identify correlations, trends and even predict future events. Predictive analytics powered by big data is widely used in various fields such as economics, public health and environmental studies. For example, researchers studying climate change can use big data to predict future climate patterns, whereas data scientists in marketing can use consumer data to predict buying behaviour. In the field of economics, big data helps predict market trends by analyzing consumer spending patterns, global trade and financial transactions.

Read: https://blog.hamnicwritingservices.com/blog-details/impact-of-big-data-on-research-a-detailed-overview

What are the reasons that per capita health care expenditure and publically financing health expenditure negavitly affectin total health expenditure?

My estimated results from DOLS method for the SAARC countries showed that per capita health care expenditure and health expenditure publically finance impacted total health expenditure.

Can any body elaborates the economic reasons

"Should governments and international organizations shift their focus and allocate more resources towards the development of antiviral treatments for dengue and chikungunya, in place of or alongside current mosquito control and prevention strategies, given the significant healthcare, economic, and societal burdens these diseases impose on affected regions, or should the primary emphasis remain on prevention and mosquito control efforts?" why?

This was first published almost 10 years ago.

Now almost a decade later, has there been any progress? Chronic workplace inactivity has been a pandemic in developed societies for much longer than a decade. The healthcare and productivity costs of workplace inactivity are all increasingly well documented. Unfortunately, this sentence from 2012 probably still applies: "Employers often provide break time and specific areas for smoking, yet to do this for exercise may be considered distracting, counterproductive, and/or too expensive." .

Thank you for considering this discussion.

Hello,

I am new to fmm. If I run a two component mixture model I will have two sets of predicted values (one for each component). I can also generate the posterior prob and the most likely latent class membership. How do I combine these two sets of values to produce single predicted values which correspond  to my dependent variable?

Thanks

Hi,

I need to suggestions on non-monetary incentives ( eg- Agri) that can be used to improve both nutrition related behaviours among tribal parents as well as serve to increase duration (days) in hospital for treating SAM. If there is any work on this, please suggest reports.

In the era of Industrial Revolution 4.0 (IR4.0), people are talking about Smart hospital. What are the characteristics of smart hospital?

I'm about to start writing my Master's thesis and I'm majoring in Finance but I would be interested in studying this topic of real economic cost of delayed medical treatment in the Nordic countries. I ran into this topic in one of the forums here.

How could I relate this to finance and what would be the best way of establishing such a study (methods, data etc.)?

Thank you for Your help!

Starting from personal & patient safety issues within hospital in terms of widespread emergence sntimicrobial infections, infections affecting the hospital staff to now acquiring a community wide expansion, all led to mismanaged hospital waste practices. The issue has gone serious both the patients now not responding conventional antibiotics to both morecaffected by serious infections. This has not only added to payltient misery but also affected the healthcare economics.

yes there are guidelines, workshops & seminars but would require your comments & some nivel strategies to address this menace

With my students, we are trying to use the ECI framework to shed light on economic integration of neighbouring countries, i.e., Tunisia, Algeria and Morocco. When using the RCA we found difficulties in interpreting the results. To wit, computing the three countries RCAs separately and collectively generates, of course, different results which are not easy to interpret and thus makes it difficult to proceed! What say you? Thanks in advance for your cooperation. (jelel.ezzine@gmail.com)

Namibia is one of the countries in sub-Sahara Africa with high HIV/AIDS prevalance, HIV/AIDS consumes most of the health expenditure which is currently mainly funded by donors, and the donors are withdrawing for the government to take full financing. I am thinking of an intervention on the youths in schools, if effective to be extended to communities. The intervention is continuous screening and testing of HIV in youths, by knowing their status can empower them to take full responsibility on protection against HIV and also those diagnosed can be supported and properly managed early. A main limitation to this can be fear of stigmatization but yet creating awareness with this intervention can also help fight stigma in HIV.

i would like your ideas in how i can do a cost analysis for this intervention and its feasibility as a cost-effective study/intervention.

I am planning to do an analysis on the healthcare inequality persisting between rural and urban areas in  India.  My research topic is "Economic Burden of Healthcare cost on Rural Women - A study on Healthcare Inequality in a Human right perspective with special reference to Karnataka". It is not finalized yet.

The research is about quantifying the health needs that are unmet due to economic reasons and gender discrimination.

Am working on a project where am suppose to use theories to explain challenges of procurement plan implementation in an institution.

Thank You.

I am trying to fit a gamma distribution for costing data, the only information that I have are mean plus interquartile range from NHS reference costs. However, in order to fit a gamma distribution, the standard error and mean are required. Does anyone know how to use the interquartile range to estimate the gamma distribution parameters that later will be used to conduct a probabilistic sensitivity analysis for economic evaluation study

Is it possible to apply relational marketing in health care industry in order to maximize patients fidelity?

Market interested in is Singapore. 

How can we match ICPC and ICD codes? How can we measure co-morbidity from secondary level data for India?

I need to explore the economics of various countries in context with health related issues. I mean the money being spent for treating/preventing any diseases/disorders. If any one came across such kind of database or websites or institutes, Please let me know.

Can a healthcare system achieve both equity and efficiency objectives at the same time? Would you say equity and efficiency are complementary or contradictory concepts in healthcare?

Governments and policymakers often seek to provide healthcare to all citizens based on their health needs. Thus, all persons should have full and equal access to healthcare commensurate to their health needs no matter where they are or the cost. However, due to increasing cost of healthcare, there is also the need to ensure prudent and efficient use of resources. Can the equity drive co-exist with efficiency? Should one be achieved before the other. 

I recently took over as divisional lead for clinical audit in my hospital. I noticed, that there seems to be - mildly spoken - a lack of enthusiasm for quality improvement and audit, with the latter really having become a tick box exercise to progress at the ARCP. I am not sure if this is generally the same throughout the NHS in England or specific to our hospital/postgraduate deanery.

I have done quite an extensive literature research on the subject and have come up with a survey regarding "Audit knowledge, attitudes and barriers".

I was wondering if anybody - particularly trainees would be interested to help me distribute this survey in different hospitals and if interested help in the analysis of the data afterwards. A similar, slightly adapted questionnaire could also be distributed amongst final year medical students.

Identifying issues is the first step to improve the situation.

Best wishes,

Immo

I am currently engaged in a project to develop a Health Technopolis at the National University of Malaysia's campus in Cheras, Kuala Lumpur. I wish to learn from experiences of researchers who have developed business models for healthcare clusters or science and technology parks in the health and medical fields.

We are doing a study to validate a questionnaire on dying and death in terminally ill burn patients (TBSA >80%). We have constructed a questionnaire based on previous questionnaires but on different diesases. We have taken those questions only that were statistically significant in previous studies. We have also asked a final question (global) about the quality of life to link/compare it with the questionnaire domains, that is answered on a Likert Scale. Now could someone help us out about validating this questionnaire in simple terms. Questions were just asked once after 2-3 days of admission and before death, sample size is 20.

Questionnaire consists of four domains with following number of questions:

Domain 1: 2 questions, both likert

Domain 2: 5 questions, (2 likert, 3 are Yes/No)

Domain 3: 5 questions, all Yes/No

Domain 4: 3 questions, 2 likert, 1 Yes/No

Plus one final global rating of their quality of life on likert scale in the end time.

Kindly provide inputs about what can be achieved through this data

I'm interested in measuring livelihood index in a community. I need a valid livelihood measurement index/methodology. Can anybody help me, please?

I am interested in pursuing  research related to Behavioural Finance .  I am looking for articles related to it. Can any one suggest emerging areas related to it. 

Kindly Help.

Thank You.

. Kindly suggest me good reads and free software for it ?

A free distance learning, online course will also help

1. i want to forecast health care expenditure(HCE) for 2020 and 2030 for Asian developing countries. I am using annual data ranging form 1995-2014 n the following variables per capita HCE, GDP per capita, education, life expectancy at birth, population under 15 and above 65 years and some other variables.

2. How can i get the future values for GDP and HCE like2015,2016, 2017.....?

Appreciated if some one tell me the codes in E-Views or Grtle or SPSS

3. How can i forecast HCE and GDP ?

Cost shifting is a phenomena observed in medicare insurance where cost incurred on medicare patients were allocated to non-medicare patients by hospitals to gain higher reimbursement.

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:

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.

Resources in the American healthcare industry are increasingly scarce. As the patient care environment demands the increasingly complex division of resources, what is the impact of implicit rationing on patient outcomes?

The incidence of gall bladder cancers in females of our population is amongst the highest in the world and in male population it is highest in India. The fatality due to gall bladder cancer is very high in our population, given the fact that almost all the cases  are diagnosed in advanced stages.The high morbidity and mortality due to gall bladder cancer is having a significant impact in the efforts for cancer control in this part of the world. The hypothesis is that, if the cases of gall bladder cancers (incidental gall bladder cancers) can be detected at an early stage by a screening hepato-biliary system ultra-sonogram as part of organized population based screening program, the mortality due to gall bladder cancer can be reduced substantially to say the least. 

We conducted a study to estimate the economic burden of ADHD in United States using the Medical Expenditure Panel Survey (national survey by Agency of Healthcare Research and Quality). Our primary objective was to estimate the incremental cost for ADHD compared to the non-ADHD population. We used a two-part model to estimate the incremental cost for ADHD. The variable total cost is the sum of direct and indirect cost categories mentioned in the table attached here. We ran separate models to estimate incremental costs for each category. However, when we add the incremental estimates of each cost category, it does not equal to the incremental estimate of the variable "total cost". We looked for literature that might explain this anomaly but could not find any explanation. Can total cost ever be lower than the sum of individual incremental cost estimates? Did anyone come across a similar situation before. Please share your thoughts on it. I have attached the results table (Title: Cost) for your reference.

Can someone provide me a good reference on budgeting and budgetary control system in public hospitals?

I am looking at the impact of activity-based funding on the length of stay (LOS) in the hospital. I will run three models: 1) 2009 vs 2010; 2) 2009 vs 2011; 3) 2009 vs 2012. For the treatment groups I have same percentile distribution till 90 percentile. Is it a problem? Conceptually, this is expected because the reduction in LOS will occur from the patients who stays longer. I am taking log of the dependent variable. I get reasonable results. I found a small statistically significant coefficient for the interaction term in the third period. The question is: is it worth doing because of the distribution issue. I personally see no problem, but one of my colleagues thinks I shouldn't proceed with this project.

I have recently came across a case of a patient in coma who was also pregnant. Although she was initially in a coma state, eventually she came out of it and started to move with visible volition at several levels. At this point the insurance coverage will end for her rehabilitation. I wonder in general how patients in the US cope with coma states (i.e. how the relatives do this?) and how is it in relation to other nations of the European Union or Canada where insurance coverage is different?

I am working on the hospital economic burden of infectious diseases in the US. I would like to understand why the CCR is used as a proxy for estimating the hospitalization costs when the American hospital funding is based on the DRG.

Would it be wrong to use the amount fixed by the DRG ? 

Thank you for your help 

I'm seeking a research partner who has experience in mining HCRIS data to perform and analysis of certain financial aspects of Michigan hospitals.  I am familiar with MS-Access as a database tool.

While there is much current interest in learning in the health care cost control literature, I have not found any references of it leading to contracts involving learning curve pricing similar to products with high front-end costs and technological uncertainty in defense contracting and electronics manufacture.

That is, how well does this new organisation presents the preferences of the people of the ground, not those of the office?

Health is the fundamental right of every citizen and it's very important that the government and international organisations provide basic healthcare whenever its needed.

I am working on a costing paper in primary health care and would like to obtain your opinions on how sensitivity analysis is important in improving my work or other wise. and which kind of variables should be varied if any   

Cost per QALY is a standard health economic endpoint however given the various clinical endpoints and decision-maker's perspective (national, regional, local) which other endpoints (e.g. Cost per time to institutionalization) might be relevant and important?

-

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?

Weald (1998 BMJ) commented on the application of the inconsistent triad economic theory to healthcare provision and stated that whilst any 2 criteria could be achieved the third was not possible. Comprehensive, high quality and free at the point of delivery... What are the prime objectives? As a clinician are your aims the same as your patients? If as a practitioner you agree that the 3 objectives are not possible, then what should be "rationed" and what are the ethical considerations in rationing?

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?

Thanks

I am planning a telephone survey similar to a PTO study. It seems that PTOs and similar trade-off questions are mostly asked using the ping-pong method, but I haven´t been able to find out why, even though I have browsed through quite a lot scientific articles. What would be the downside of not using the ping-pong method and instead asking questions directly like: “How many patients with headache need to be cured to make it equally good as curing 10 people with paraplegia?”?

By the way, does anyone know of a textbook/article or similar with practical tips on how to perform trade off interviews?

I need a theoretical framework for my master thesis, I will later concentrate on access and equity problems, but firstly I need to explain the causes of informal payments during the communist regime.