The data are organized by OMH Region‐specific (Region of Provider), program type, and by the following demographic characteristics of the clients served during the week of the survey: sex (Male, Female, X (Non-binary), and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

The number of persons described by survey year (2015) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

The number of persons described by survey year (2013) reported in OMH Region-specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: gender (Male, Female,Transgender Male, Transgender Female), age (below 5,5–12, 13–17, 18–20, 21–34, 35–44, 45–64, 65–74, 75 and above, and unknown age) and race (White only, Black/ African American Only, Multi-racial, Other and unknown race) and ethnicity (Non-Hispanic, Hispanic, and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

Analysis of ‘Patient Characteristics Survey (PCS): 2013’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f5d7124e-2329-412b-8583-a2dd1a668126 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

The number of persons described by survey year (2013) reported in OMH Region-specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: gender (Male, Female,Transgender Male, Transgender Female), age (below 5,5–12, 13–17, 18–20, 21–34, 35–44, 45–64, 65–74, 75 and above, and unknown age) and race (White only, Black/ African American Only, Multi-racial, Other and unknown race) and ethnicity (Non-Hispanic, Hispanic, and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

--- Original source retains full ownership of the source dataset ---

Content

The number of persons described by survey year (2015) reported in OMH Region‐specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: sex (Male, Female, and Unknown), Transgender (No, Not Transgender; Yes, Transgender and Unknown), age (below 17 (Child), 18 and above(Adult) and unknown age) and race (White only, Black Only, Multi‐racial, Other and Unknown race) and ethnicity (Non‐Hispanic, Hispanic, Client Did Not Answer and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated annually.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

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The number of persons described by survey year (2013) reported in OMH Region-specific totals (Region of Provider) and three demographic characteristics of the client served during the week of the survey: gender (Male, Female,Transgender Male, Transgender Female), age (below 5,5–12, 13–17, 18–20, 21–34, 35–44, 45–64, 65–74, 75 and above, and unknown age) and race (White only, Black/ African American Only, Multi-racial, Other and unknown race) and ethnicity (Non-Hispanic, Hispanic, and Unknown). Persons with Hispanic ethnicity are grouped as “Hispanic,” regardless of race or races reported.

1Mann-Whitney nonparametric test;2Fisher exact test.

The English Cancer Patient Experience Survey (CPES) is commissioned by NHS England and administered on their behalf by an external survey provider organisation (Quality Health). The survey provides insights into the care experienced by cancer patients across England who were treated as day cases or inpatients. Data from CPES has been linked to cancer registration records recorded by the National Cancer Registration and Analysis Service (the cancer registry in England). Individual responses to Wave 2 of CPES are recorded , alongside characteristics of the patient who has completed the survey.

Wave 2 of the National Cancer Patient Experience Survey is limited to patients discharged from cancer care between 01/09/2011 – 30/11/2011.

Data within the file: --PATIENT_PSEUDO_ID (Project specific Pseudonymised Patient ID) GENDER (coded Male, Female) --QUINTILE2010 (Deprivation quintile [1-5], describing the Income Deprivation Domain where 1= least deprived and 5= most deprived) --FINAL_ROUTE (One of eight Routes to Diagnosis- methodology for the assignment of each route is described in Elliss-Brookes L, McPhail S, Greenslade M, Shelton J, Hiom S, Richards M (2012) Routes to diagnosis for cancer – determining the patient journey using multiple routine data sets. British Journal of Cancer 107: 1220–1226.) --AGE (aggregated in 4 categories: <55, 55-64, 65-74, 75+) --STAGE (stage of the cancer coded as I, II, III, IV, missing) --CANCER_SITE (Cancer sites coded in accordance with ICD 10: C00-C14, C15, C16, C18, C19-C20, C25, C33-C34, C43, C49, C50, C54, C56, C61, C64, C67, C73, C82, C83, C85, C90, C91-C95, D05 and ‘all other ICD-10 codes’

Specific disclosure controls applied: --Gender omitted from the data specification in the following cancer sites: • Female only for C50, D05 and C73 • Male only for C49
--Self-reported ethnicity (from the CPES surveys) aggregated into white British / non-white British / not specified. --Self-reported ethnicity omitted for C49, C64, C73 (replaced as “missing”).

Background characteristics survey respondents.

The National Ambulatory Medical Care Survey (NAMCS) is a national survey designed to meet the need for objective, reliable information about the provision and use of ambulatory medical care services in the United States. Findings are based on a sample of visits to non-federally employed office-based physicians who are primarily engaged in direct patient care. Physicians in the specialties (including designated sub-specialties) of anesthesiology, pathology, and radiology are excluded from the survey. The survey was conducted annually from 1973 to 1981, again in 1985, and annually since 1989. Data collection from the physician, rather than from the patient, provides an analytic base that expands information on ambulatory care collected through other NCHS surveys. Data about the physician and their practice characteristics are collected during a survey induction interview. For survey years 1973 to 1991, there are two data files: one for patient visit data and a second for drug mention data. The second file is limited to those visits with mention of medication therapy. For the 1991 data, it is possible to link information on the drug file with information on the patient visit file. Beginning with the 1992 survey year through 2011, one main data file was produced annually that contains both patient visit and drug information.

The National Ambulatory Medical Care Survey (NAMCS) is a national survey designed to meet the need for objective, reliable information about the provision and use of ambulatory medical care services in the United States. Findings are based on a sample of visits to non-federally employed office-based physicians who are primarily engaged in direct patient care. Physicians in the specialties (including designated sub-specialties) of anesthesiology, pathology, and radiology are excluded from the survey. The survey was conducted annually from 1973 to 1981, again in 1985, and annually since 1989. Data collection from the physician, rather than from the patient, provides an analytic base that expands information on ambulatory care collected through other NCHS surveys. Data about the physician and their practice characteristics are collected during a survey induction interview. For survey years 1973 to 1991, there are two data files: one for patient visit data and a second for drug mention data. The second file is limited to those visits with mention of medication therapy. For the 1991 data, it is possible to link information on the drug file with information on the patient visit file. Beginning with the 1992 survey year through 2011, one main data file was produced annually that contains both patient visit and drug information.

The National Hospital Ambulatory Medical Care Survey (NHAMCS) has been fielded annually since 1992 to collect data on the utilization and provision of ambulatory care services in hospital emergency and outpatient departments. Data collection from hospital-based ambulatory surgery centers began in 2009. And between 2010 and 2012 NHAMCS gathered data on visits to freestanding ambulatory surgery centers. In 2018, the survey began focusing on just the ambulatory visits made to emergency departments. Each emergency department is randomly assigned to a 4-week reporting period. During this period, data for a systematic random sample of visits are recorded by Census interviewers using a computerized Patient Record Form. Data are obtained on patient characteristics such as age, sex, race, and ethnicity, and visit characteristics such as patient’s reason for visit, provider’s diagnosis, services ordered or provided, and treatments, including medication therapy. In addition, data about the facility are collected as part of a survey induction interview.

The English Cancer Patient Experience Survey (CPES) is commissioned by NHS England and administered on their behalf by an external survey provider organisation (Quality Health). The survey provides insights into the care experienced by cancer patients across England who were treated as day cases or inpatients. Data from CPES has been linked to cancer registration records recorded by the National Cancer Registration and Analysis Service (the cancer registry in England). Individual responses to Wave 1 of CPES are recorded , alongside characteristics of the patient who has completed the survey.

Wave 1 of the National Cancer Patient Experience Survey is limited to patients discharged from cancer care between 01/01/2010 – 31/03/2010.

Data within the file: --PATIENT_PSEUDO_ID (Project specific Pseudonymised Patient ID) GENDER (coded Male, Female) --QUINTILE2010 (Deprivation quintile [1-5], describing the Income Deprivation Domain where 1= least deprived and 5= most deprived) --FINAL_ROUTE (One of eight Routes to Diagnosis- methodology for the assignment of each route is described in Elliss-Brookes L, McPhail S, Greenslade M, Shelton J, Hiom S, Richards M (2012) Routes to diagnosis for cancer – determining the patient journey using multiple routine data sets. British Journal of Cancer 107: 1220–1226.) --AGE (aggregated in 4 categories: <55, 55-64, 65-74, 75+) --STAGE (stage of the cancer coded as I, II, III, IV, missing) --CANCER_SITE (Cancer sites coded in accordance with ICD 10: C00-C14, C15, C16, C18, C19-C20, C25, C33-C34, C43, C49, C50, C54, C56, C61, C64, C67, C73, C82, C83, C85, C90, C91-C95, D05 and ‘all other ICD-10 codes’

Specific disclosure controls applied: --Gender omitted from the data specification in the following cancer sites: • Female only for C50, D05 and C73 • Male only for C49
--Self-reported ethnicity (from the CPES surveys) aggregated into white British / non-white British / not specified. --Self-reported ethnicity omitted for C49, C64, C73 (replaced as “missing”).

A substantial proportion of chronic disease patients do not respond to self-management interventions, which suggests that one size interventions do not fit all, demanding more tailored interventions. To compose more individualized strategies, we aim to increase our understanding of characteristics associated with patient activation for self-management and to evaluate whether these are disease-transcending. A cross-sectional survey study was conducted in primary and secondary care in patients with type-2 Diabetes Mellitus (DM-II), Chronic Obstructive Pulmonary Disease (COPD), Chronic Heart Failure (CHF) and Chronic Renal Disease (CRD). Using multiple linear regression analysis, we analyzed associations between self-management activation (13-item Patient Activation Measure; PAM-13) and a wide range of socio-demographic, clinical, and psychosocial determinants. Furthermore, we assessed whether the associations between the determinants and the PAM were disease-transcending by testing whethe...

Abstract copyright UK Data Service and data collection copyright owner.

The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.

The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.

Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.

History of the programme

The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.

Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.

The Young Patient Survey, 2004 was designed to provide actionable feedback to each participating NHS trust on young patients' views (aged under 17) of the care they had received in Primary Care Trusts (PCTs) in England, as well as providing the Healthcare Commission with patient-focused indicators to feed into the 2004 performance ratings for acute and specialist NHS trusts.

Main Topics:

Topics covered included: whether in-patient or day case; hospital admissions (emergency and routine); waiting time; choice of admission date and whether cancelled; food; noise; cleanliness of ward, toilets and bathrooms; ward safety and security; toys, entertainment, play, educational, visitors facilities on ward; courtesy and helpfulness of doctors and nursing staff; information given to patient and relatives regarding treatment and drug prescriptions; parent/guardian participation in treatment and decision-making; pain; operations; pain control; reassurance given by staff; discharge from hospital; overall medical care received; respondents' demographic characteristics.

The Survey of Business Owners (SBO) provides the only comprehensive, regularly collected source of information on selected economic and demographic characteristics for businesses and business owners by gender, ethnicity, race, and veteran status. Data have been collected every 5 years since 1972, for years ending in '2' and '7' as part of the economic census. The program began as a special project for minority-owned businesses in 1969 and was incorporated into the economic census in 1972 along with the Survey of Women-Owned Businesses. Read more information about The Survey of Business Owners. https://www.census.gov/programs-surveys/sbo/about.html

The global healthcare survey tools market is experiencing robust growth, driven by increasing demand for patient-centric care, the need for improved healthcare quality, and the rising adoption of digital health technologies. The market is segmented by application (patient feedback, hospital feedback) and type (cloud-based, on-premises), with cloud-based solutions witnessing faster adoption due to their scalability, accessibility, and cost-effectiveness. The market's Compound Annual Growth Rate (CAGR) is projected to be in the range of 15-20% from 2025-2033, indicating a significant expansion. This growth is fueled by several factors including the need for real-time feedback mechanisms, regulatory pressures for improved patient experience, and the ability of survey tools to track key performance indicators (KPIs) related to patient satisfaction and healthcare outcomes. North America and Europe currently hold significant market share, attributed to the higher adoption of advanced technologies and robust healthcare infrastructure. However, the Asia-Pacific region is expected to witness substantial growth in the coming years due to increasing healthcare expenditure and improving digital literacy. While the market demonstrates significant potential, several restraining factors exist. These include concerns regarding data privacy and security, the high initial investment costs for implementing comprehensive survey systems, and the need for trained personnel to effectively manage and interpret the collected data. The competitive landscape is fragmented, with both established players and emerging vendors vying for market share. Success hinges on offering innovative features, robust data analytics capabilities, and ensuring compliance with evolving data protection regulations. The market is projected to reach a value significantly exceeding $1 billion by 2033, making it an attractive investment opportunity for both established and new market entrants. Companies are constantly innovating to offer tailored solutions that meet the unique requirements of various healthcare settings, driving further market growth.

The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html

The global market for healthcare survey tools is experiencing robust growth, driven by the increasing need for patient feedback, improved healthcare quality, and the rising adoption of digital health technologies. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several key factors. Firstly, healthcare providers are increasingly recognizing the value of patient experience data in enhancing service delivery and improving patient outcomes. Secondly, the proliferation of digital health solutions and the rising adoption of electronic health records (EHRs) are creating opportunities for seamless integration of survey tools into existing workflows. Furthermore, regulatory pressures and the focus on value-based care are incentivizing the use of data-driven approaches, including patient surveys, to optimize resource allocation and demonstrate quality improvement. Several trends are shaping the future of this market. The increasing demand for real-time data analytics capabilities within survey tools is pushing vendors to develop sophisticated platforms capable of providing actionable insights immediately. The integration of artificial intelligence (AI) and machine learning (ML) is streamlining data analysis and enabling predictive modeling to anticipate patient needs and improve healthcare planning. However, challenges remain, including concerns regarding data privacy and security, the need for interoperability between different systems, and the potential for survey fatigue among patients. Despite these restraints, the long-term outlook for the healthcare survey tools market remains highly positive, with continued growth expected throughout the forecast period. The market is fragmented, with major players like Qualtrics, SurveyMonkey, and others competing alongside smaller, niche providers. The competitive landscape is dynamic, characterized by continuous innovation and the emergence of new technologies.

The global healthcare survey software market is experiencing robust growth, driven by increasing demand for patient satisfaction data, the need for efficient clinical trial management, and a growing emphasis on data-driven decision-making within healthcare organizations. The market's expansion is fueled by advancements in technology, such as mobile-first survey platforms and AI-powered analytics, which enable healthcare providers to gather comprehensive insights from diverse populations more efficiently. Furthermore, regulatory compliance requirements and the rise of value-based care models are compelling healthcare providers to leverage sophisticated survey tools for quality improvement and patient engagement initiatives. While challenges remain, such as data security concerns and the need for user-friendly interfaces to encourage wider adoption, the market's trajectory points towards significant expansion over the next decade. We estimate the market size in 2025 to be approximately $2.5 billion, with a Compound Annual Growth Rate (CAGR) of 12% projected through 2033, resulting in a market value exceeding $7 billion by the end of the forecast period. This growth is expected to be driven by increasing adoption in emerging markets and continued innovation within the sector. The competitive landscape is characterized by a mix of established players and emerging companies. Key players like Qualtrics, SurveyMonkey (Momentive), and QuestionPro are leveraging their brand recognition and comprehensive feature sets to maintain market share. However, agile startups and specialized providers are offering innovative solutions tailored to specific healthcare niches, such as patient experience surveys, clinical trial feedback collection, and employee satisfaction assessments within the medical sector. The market's segmentation includes software-as-a-service (SaaS) offerings, on-premise solutions, and various pricing models catering to different organizational needs and budgets. Geographical expansion will be key for future market growth, with substantial opportunities in developing regions seeking to improve healthcare quality and efficiency through data-driven strategies.