In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

As of 2024, the Hospital Corporation of America, based in Nashville, Tennessee, was the largest health system in the United States, with a total of 41,694 hospital beds. HCA Healthcare is also the largest U.S. health system when ranked by the number of hospitals and net patient revenue. Altogether, the largest 10 healthcare systems or integrated delivery networks (IDNs) cover 1,210 hospital and over 185,000 hospital beds. Most of these health systems are non-profit organizations.

This statistic depicts a ranking of the top 10 U.S. nonprofit hospital operators based on number of hospitals as of December 2015. At this point, Ascension Health, based in St. Louis, Missouri, was ranked first in the United States, with a total of 76 hospitals.

According to a hospital ranking carried out in 2022 and based on seven different dimensions, Hospital Israelita Albert Einstein was considered the hospital with the highest care quality in Latin America. Located in São Paulo - Brazil, this health institution reached a quality index score of 93.46. Hospital Sírio-Libanês also located in Brazil, ranked second, with a score of 71.75. Latin American hospitals and their capacity to host patients When it comes to hosting patients, hospitals Irmandade da Santa Casa de Misericórdia de Porto Alegre located in Brazil, and Sanatorio Guemes based in Argentina, ranked among the leading hospitals in Latin America as of 2022. It was estimated that Brazil and Argentina were the two Latin American countries with the highest number of hospital beds in the region in 2020, with more than 448,000 and 234,000 hospital beds, respectively. Public opinion on healthcare quality It was also Argentina that had the highest share of satisfied patients among a selection of countries in Latin America according to a 2023 survey, with 50 percent of interviewees stating they had accessed a good or very good healthcare service. Colombian patients followed, with four out of ten people satisfied with the healthcare received. Accordingly, a recent study estimated that nearly half of the population in Argentina and Colombia distrusted the healthcare system, with approximately 47 percent and 50 percent of respondents claiming they trust the health systems in their respective countries.

Success.ai’s Healthcare Industry Leads Data and B2B Contact Data for US Healthcare Professionals offers an extensive and verified database tailored to connect businesses with key executives and administrators in the healthcare industry across the United States. With over 170M verified profiles, including work emails and direct phone numbers, this dataset enables precise targeting of decision-makers in hospitals, clinics, and healthcare organizations.

Backed by AI-driven validation technology for unmatched accuracy and reliability, this contact data empowers your marketing, sales, and recruitment strategies. Designed for industry professionals, our continuously updated profiles provide the actionable insights you need to grow your business in the competitive healthcare sector.

Key Features of Success.ai’s US Healthcare Contact Data:

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Hospital Executives: CEOs, CFOs, and COOs managing top-tier facilities. Healthcare Administrators: Decision-makers driving operational excellence. Medical Professionals: Physicians, specialists, and nurse practitioners. Clinic Managers: Leaders in small and mid-sized healthcare organizations.

• AI-Validated Accuracy and Updates

  99% Verified Accuracy: Our advanced AI technology ensures data reliability for optimal engagement. Real-Time Updates: Profiles are continuously refreshed to maintain relevance and accuracy. Minimized Bounce Rates: Save time and resources by reaching verified contacts.

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Targeted Marketing: Develop tailored campaigns aimed at healthcare executives and decision-makers. Efficient Sales Outreach: Engage with key contacts to accelerate your sales process. Recruitment Optimization: Access verified profiles to identify and recruit top talent in the healthcare industry. Market Intelligence: Use detailed firmographic and demographic insights to guide strategic decisions. Partnership Development: Build valuable relationships within the healthcare ecosystem.

• Data Highlights 170M+ Verified Profiles 50M Direct Phone Numbers 700M Global Professional Profiles 70M Verified Company Profiles

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Success.ai’s B2B Contact Data for US Healthcare Professionals is the ultimate solution for connecting with industry leaders, driving impactful marketing campaigns, and optimizing your recruitment strategies. Our commitment to quality, accuracy, and affordability ensures you achieve exceptional results while adhering to ethical and legal standards.

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Hospitals play a critical role in healthcare, offering specialized treatments and emergency services essential for public health, regardless of economic fluctuations or individuals' financial situations. Rising incomes and broader access to insurance have fueled demand for care in recent years, supporting hospitals' post-pandemic recovery initiated by federal policies and funding. The recovery for many hospitals was also promoted by mergers that lessened financial strains, especially in rural hospitals. This trend toward consolidation has resulted in fewer enterprises relative to establishments, enhancing hospitals' bargaining power regarding input costs and insurance reimbursements. With this improved position, hospitals are expected to see revenue climb at a CAGR of 2.0%, reaching $1.5 trillion by 2025, with a 3.2% increase in 2025 alone. Competition, economic conditions and regulatory changes will impact hospitals based on size and location. Smaller hospitals, particularly rural ones, may encounter more significant obstacles as the industry transitions from fee-based to value-based care. Independent hospitals face wage inflation, staffing shortages and drug supply costs. Although state and federal policies aim to support small rural hospitals in addressing hospital deserts, uncertainties linger over federal Medicare funding and Medicaid reimbursements, which account for nearly half of hospital care spending. Even so, increasing per capita disposable income and increasing the number of individuals with private insurance will boost revenues from private insurers and out-of-pocket payments for all hospitals, big and small. Hospitals will continue incorporating technological advancements in AI, telemedicine and wearables to enhance their services and reduce cost. These technologies aid hospital systems in strategically expanding outpatient services, mitigating the increasing competitive pressures from Ambulatory Surgery Centers (ASCs) and capitalizing on the increased needs of an aging adult population and shifts in healthcare delivery preferences. As the consolidation trend advances and technology adoption further leverages economies of scale, industry revenue is expected to strengthen at a CAGR of 2.4%, reaching $1.7 trillion by 2030, with steady profit over the period.

Graph and download economic data for Total Revenue for Hospitals, All Establishments (REV622ALLEST144QSA) from Q4 2004 to Q3 2024 about hospitals, revenue, establishments, and USA.

The U.S. hospital with the most emergency department visits in 2022 was Parkland Health and Hospital System in Dallas, followed by Lakeland Regional Medical Center in Lakeland, Florida. In 2022, Parkland Health and Hospital System recorded 226,178 emergency room visits, while Lakeland Regional Medical Center received 199,927. Both hospitals saw an increase in emergency room visits compared to the previous year and both hospitals remained top of the list in both years.

U.S. Hospitals

There are various types of hospitals in the U.S. that supply numerous services. Hospitals can be broken into the categories: community hospitals, federal government hospitals, psychiatric care hospitals and long-term care hospitals. Some hospitals provide further specializations such as trauma care or paediatrics. The total number of hospitals in the U.S. continuously been decreasing since the 1970s. In general, non-federal hospitals make up the majority of hospitals.

Emergency departments

Recent estimates indicate that among adults the age groups with the highest prevalence of emergency room visits were among those aged 18-29 years and those aged 50-64 years. Among children, the most common reason for visiting the emergency department are respiratory disorders, followed by injury and poisoning.

VA Community Care Comparison or VAC3 is a system for comparing Veterans Health Administration (VHA) hospital system performance with regional and U.S. national benchmarks. This report includes key quality measures available on CMS Hospital Compare and top hospital recognition programs from reporting agencies of hospital quality. VAC3 data tables are updated every quarter.

IntroductionDigital mental health treatments (DMHTs) have begun to be implemented in some healthcare systems across the United States. These implementations are conducted as business arrangements. Thus, information on successful or unsuccessful implementations is not published or disseminated. This slows progress, as experiences and learnings are siloed within each organization, hindering or preventing learning across implementations and slowing the progress. To address this, the Society for Digital Mental Health established a DMHT Implementation Workgroup, with the goal of developing a DMHT Playbook that describes current best practices in DMHT implementation in American healthcare settings.MethodsThe workgroup was comprised of representatives from 7 healthcare systems and 10 DMHT companies that have conducted implementations, along with other stakeholders and technical experts. The workgroup met virtually to discuss implementation of effective DMHT implementation processes and inform the development of an interview guide, which was then administered to another 20 key opinion leaders with DMHT implementation experience. Concepts and thematic constructs were extracted by experts in qualitative data analysis. These findings were discussed and refined by the Workgroup based on the Workgroup's experience.ResultsThe resulting playbook includes detailed methods, processes and procedures, representing practices that have been successful for implementing DMHTs in healthcare settings.DiscussionThe workgroup recognizes that DMHT implementation is a rapidly evolving field. The successful practices for DMHT implementation described in this playbook may be useful for improving the efficiency of future DMHT implementations in American healthcare systems. However, the authors caution that as the field rapidly evolves, successful implementation practices will likely evolve as well.

[320 Pages] Global mass notification system in healthcare market sales revenue were valued at around ~US$ 1,311.9 Mn at the end of 2021. The market is projected to register 16.9% CAGR and top a valuation of ~US$ 3,326.5 Mn by 2027. The mass notification system in healthcare market accounted for almost 16% share of mass notification system market globally.

How The Market Progressed Till June 2022?

Scope of Report

Market Overview:

United States automatic pill dispenser machine market size reached US$ 902 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 1,816.0 Million by 2032, exhibiting a growth rate (CAGR) of 8.00% during 2024-2032. Burgeoning elderly population, the escalating prevalence of chronic diseases, technological advancements in smart dispensers, the rise of telehealth, increased awareness of medication adherence, surging collaborative partnerships, and the integration of artificial intelligence (AI) and machine learning (ML) are contributing to the market growth.

An automatic pill dispenser machine is a sophisticated medical device designed to facilitate the organized and timely administration of medications to patients. They are manufactured using a combination of advanced technologies, including robotics and electronic components, to ensure precise and reliable medication dispensing. They are typically constructed with durable materials such as plastic and metal to withstand regular use in clinical settings. Automatic pill dispensers serve a crucial role in healthcare by reducing the risk of medication errors and improving medication adherence. They are primarily used in hospitals, long-term care facilities, and home healthcare settings. They are programmable to dispense specific medications at pre-determined times, ensuring that patients receive their prescribed doses accurately and on schedule. This is particularly beneficial for individuals with complex medication regimens or those who may have difficulty remembering to take their medications as prescribed. The advantages of automatic pill dispensers are manifold, such as they enhance patient safety by minimizing the likelihood of dosage errors, which can have serious consequences. They also promote medication adherence, which is essential for the effectiveness of treatment plans. Patients are more likely to follow their prescribed medication regimens when using these devices. Additionally, automatic pill dispensers can be remotely monitored by healthcare professionals, allowing for real-time tracking of patient medication adherence and enabling timely interventions when necessary. Furthermore, they can store and dispense multiple medications, making them suitable for patients with various medical conditions.

United States Automatic Pill Dispenser Machine Market Trends:

The United States automatic pill dispenser machine market is influenced by several key drivers, such as the rising elderly population in the country, which has increased the demand for convenient medication management solutions. Automatic pill dispensers offer a user-friendly approach to ensure that seniors can adhere to their medication regimens effectively. In line with this, the growing prevalence of chronic diseases, such as diabetes and hypertension, has necessitated a more efficient and reliable way of dispensing medications on schedule, which is creating a positive outlook for the market. Moreover, advancements in technology have led to the development of smart and connected automatic pill dispensers, which is favoring the market growth. This connectivity not only enhances convenience but also enables healthcare providers and caregivers to track medication adherence more closely, making it a valuable tool in telehealth and remote patient monitoring. Apart from this, the ongoing COVID-19 pandemic has accelerated the adoption of telemedicine and home healthcare solutions, which is stimulating the market growth in the country.

United States Automatic Pill Dispenser Machine Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on type and application.

Type Insights:

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• Centralized Automated Dispensing Systems
  • Robots and Robotic Automated Dispensing Systems
  • Carousels
• Decentralized Automated Dispensing Systems
  • Pharmacy-Based Automated Dispensing Systems
  • Ward-Based Automated Dispensing Systems
  • Automated Unit Dose Dispensing Systems
    

The report has provided a detailed breakup and analysis of the market based on the type. This includes centralized automated dispensing systems (robots and robotic automated dispensing systems and carousels) and decentralized automated dispensing systems (pharmacy-based automated dispensing systems, ward-based automated dispensing systems, and automated unit dose dispensing systems).

Application Insights:

• Hospital Pharmacy
• Retail Pharmacy
• Home Healthcare
  

A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes the hospital pharmacy, retail pharmacy, and home healthcare.

Regional Insights:

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• Northeast
• Midwest
• South
• West
  

The report has also provided a comprehensive analysis of all the major regional markets, which include the Northeast, Midwest, South, and West.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

United States Automatic Pill Dispenser Machine Market Report Coverage:

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

Minimally Invasive Surgery Equipment Market Outlook

The global minimally invasive surgery equipment market size was approximately USD 35 billion in 2023 and is projected to reach around USD 65 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. The primary growth factors driving this market include technological advancements, increasing prevalence of chronic diseases, and growing demand for surgeries that minimize recovery time and postoperative complications.

The rise in the aging population worldwide is a significant growth factor for the minimally invasive surgery equipment market. As the elderly population increases, the incidence of chronic diseases such as cardiovascular disorders, cancer, and orthopedic conditions also rises. These conditions often require surgical interventions, and minimally invasive procedures are preferred due to their lower risks and quicker recovery times. Furthermore, healthcare systems globally are increasingly adopting minimally invasive techniques to reduce hospital stays and associated healthcare costs, thus fueling market growth.

Technological advancements in surgical equipment and techniques are another critical driver of the market. Innovations such as robotic-assisted surgical systems, advanced laparoscopic devices, and enhanced imaging technologies have significantly improved the precision and outcomes of minimally invasive surgeries. These advancements not only make surgeries safer and more effective but also expand the range of procedures that can be performed minimally invasively. As healthcare providers strive to offer the best possible care, the demand for state-of-the-art minimally invasive surgical equipment continues to grow.

The increasing awareness and preference for minimally invasive procedures among patients are also contributing to market growth. Patients today are more informed about their medical options and tend to prefer surgeries that offer reduced pain, minimal scarring, and faster recovery. This shift in patient preference is encouraging hospitals and clinics to invest in minimally invasive surgery equipment. Additionally, favorable reimbursement policies in many countries are making these advanced surgeries more accessible, thereby supporting market expansion.

Minimally Invasive Instrumentation has become a cornerstone in the evolution of surgical procedures, offering unprecedented precision and control. These instruments are designed to facilitate surgeries through smaller incisions, thereby reducing trauma to the body and accelerating recovery times. The development of these specialized tools has been driven by the need to enhance surgical outcomes while minimizing risks associated with traditional open surgeries. As the demand for less invasive procedures grows, the innovation in minimally invasive instrumentation continues to advance, providing surgeons with the ability to perform complex operations with greater accuracy and efficiency. This evolution is not only improving patient experiences but also expanding the scope of procedures that can be performed minimally invasively.

From a regional perspective, North America currently holds the largest market share, driven by high healthcare expenditure, advanced healthcare infrastructure, and robust adoption of new technologies. Europe follows closely, with significant contributions from countries like Germany and the UK. However, the Asia Pacific region is expected to exhibit the highest CAGR over the forecast period, propelled by increasing healthcare investments, rising medical tourism, and a growing population with disposable income to spend on advanced medical treatments.

Product Type Analysis

The product type segment of the minimally invasive surgery equipment market includes endoscopes, laparoscopy devices, robotic-assisted surgical systems, electrosurgical devices, and others. Each of these sub-segments plays a vital role in the overall market dynamics, contributing uniquely to the growth and development of minimally invasive surgical techniques.

Endoscopes constitute one of the largest segments within the minimally invasive surgery equipment market. These devices are integral to a wide range of diagnostic and therapeutic procedures, including gastrointestinal, urological, and gynecological surgeries. Advances in endoscopic technology, such as the development of high-definition and 3D endoscopes, have significantly im

This statistic depicts the total enterprise value of top healthcare systems and services companies in the United States as of April 30, 2021. At this time, Cerner Corporation reported an enterprise value of around 23.3 billion U.S. dollars.

As per FMI Analysts, the global market is estimated to be valued at US$ 648.7 million in 2023. The overall market is projected to increase at a CAGR of 9.9% during the forecast period from 2023 to 2033. The global ischemic stroke aspiration systems market size is expected to reach US$ 1,672.8 million by 2033.

What are the Various Factors Driving the Ischemic Stroke Aspiration Systems Market?

Which Factors May Hinder the Global Ischemic Stroke Aspiration Systems Market Growth?

What is the Regional Analysis of the Ischemic Stroke Aspiration Systems Market Share?

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

The worldwidedental delivery system marketis predicted to be worth around US$ 587.5 million by the end of 2023. The overall market is projected to record a CAGR of 4.6% between 2023 and 2033. FMI forecasts the overall market value to be around US$ 919.4 million by 2033.

Region-wise Insights

Category-wise Insights

Report on the Market Scope

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

The mobile clinic market had an estimated market share worth US$ 3.1 billion in 2023, and it is predicted to reach a global market valuation of US$ 6.7 billion by 2034, expanding at a CAGR of 7% from 2024 to 2034.

Mobile Clinic Market Historical Analysis 2019 to 2023 vs. Forecast Outlook 2024 to 2034

Category wise Insights

Region wise Analysis

Report Scope