Comprehensive dataset of 184,761 Physical therapists in United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Graph and download economic data for Employed full time: Wage and salary workers: Physical therapists occupations: 16 years and over: Women (LEU0254701800A) from 2000 to 2024 about physical therapists, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Comprehensive dataset of 17,373 Physical therapists in California, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This statistic shows the number of pharmacists in the United States from 2001 to 2016. In 2001, there were ******* physical therapists employed in the United States. In 2016, there were ******* physical therapists employed.

Comprehensive dataset of 4,726 Physical therapists in Wisconsin, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Free-Cash-Flow-To-The-Firm Time Series for US Physicalrapy Inc. U.S. Physical Therapy, Inc. operates and manages outpatient physical therapy clinics. The company operates through two segments, Physical Therapy Operations and Industrial Injury Prevention Services. The company provides pre-and post-operative care and treatment for orthopedic-related disorders, sports-related injuries, preventative care, rehabilitation of injured workers, and neurological-related injuries. It offers industrial injury prevention services, including onsite injury prevention and rehabilitation, performance optimization, post-offer employment testing, functional capacity evaluations, and ergonomic assessments through physical therapists and specialized certified athletic trainers for Fortune 500 companies, and other clients comprising insurers and their contractors. U.S. Physical Therapy, Inc. was founded in 1990 and is based in Houston, Texas.

This statistic shows the frequency adults in the U.S. visited or consulted a physical/occupational therapist as of 2018. According to data provided by Ipsos, ***** percent of U.S. adults stated they visited or consulted a physical/occupational therapist once a year.

United States - Employed full time: Wage and salary workers: Physical therapist assistants and aides occupations: 16 years and over was 64.00000 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Physical therapist assistants and aides occupations: 16 years and over reached a record high of 75.00000 in January of 2023 and a record low of 34.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Physical therapist assistants and aides occupations: 16 years and over - last updated from the United States Federal Reserve on July of 2025.

Comprehensive dataset of 2,579 Physical therapists in Connecticut, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The purpose of this study was to assess whether the CT skills measured by the GRE match those deemed by an expert panel as the most important to assess for PTE program acceptance. Using a modified E-Delphi approach, a 3-phase survey was distributed over 8 weeks to a panel consisting of licensed US physical therapists with expertise on CT and PTE program directors.

Qualitative research methods in healthcare delve into the nuanced complexities of health professions work, seeking to comprehend the contextual and interpretive dimensions of patient, caregiver, and provider perspectives and experiences. Qualitative research is an essential contribution to evidence-based and evidence-informed practice, and therefore foundational for practice across all health professions. This study aimed to examine the breadth and depth of curricular content, delivery models, instructional strategies, and resources related to qualitative research methods in Doctor of Physical Therapy (DPT) programs in the United States. In this cross-sectional design, an online survey was developed, piloted, and emailed to 256 Commission for the Accreditation of Physical Therapy Education accredited DPT programs. Descriptive statistics, independent samples t-tests, one-way ANOVA, and chi-square statistics were completed. The overall response rate was 31.6%. Respondents reported a mean of 5 instructional hours of qualitative research content, ranging from 0 to 12 hours. Analysis revealed a significant difference in contact hours (p = .026) between faculty reporting no expertise (2.7 hours) and high expertise (7.5 hours). Qualitative research content was primarily located early in the curriculum (76%) and in a stand-alone course (70%), with wide variability in intended learning outcomes, activities, and resources. Given the critical importance that clinicians understand and apply qualitative and quantitative findings as part of evidence informed practice, this study highlights the need for building resources and faculty capacity to integrate qualitative methods of education in DPT curricula. Findings may inform the development of curriculum models, guidelines, and DPT learner competencies.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Physical therapist assistants and aides occupations: 16 years and over: Women (LEU0254757400A) from 2000 to 2011 about physical therapists, assistance, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

This study aimed to conduct a personality-oriented job analysis to identify non-cognitive factors that may predict successful performance or performance difficulties in doctor of physical therapy (DPT) students. Eleven SMEs were recruited to participate in the study. Nine SMEs participated, including 6 DPT faculty members and 3 recent graduates who had passed the NPTE and were employed as physical therapists. A questionnaire with 22 POJA traits and definitions was developed. The wording of the scales was modified to be appropriate for student admissions rather than job applicants.

Minority-Interest-Expense Time Series for US Physicalrapy Inc. U.S. Physical Therapy, Inc. operates and manages outpatient physical therapy clinics. The company operates through two segments, Physical Therapy Operations and Industrial Injury Prevention Services. The company provides pre-and post-operative care and treatment for orthopedic-related disorders, sports-related injuries, preventative care, rehabilitation of injured workers, and neurological-related injuries. It offers industrial injury prevention services, including onsite injury prevention and rehabilitation, performance optimization, post-offer employment testing, functional capacity evaluations, and ergonomic assessments through physical therapists and specialized certified athletic trainers for Fortune 500 companies, and other clients comprising insurers and their contractors. U.S. Physical Therapy, Inc. was founded in 1990 and is based in Houston, Texas.

Number-of-Consecutive-Periods-With-Dividend-Payments Time Series for US Physicalrapy Inc. U.S. Physical Therapy, Inc. operates and manages outpatient physical therapy clinics. The company operates through two segments, Physical Therapy Operations and Industrial Injury Prevention Services. The company provides pre-and post-operative care and treatment for orthopedic-related disorders, sports-related injuries, preventative care, rehabilitation of injured workers, and neurological-related injuries. It offers industrial injury prevention services, including onsite injury prevention and rehabilitation, performance optimization, post-offer employment testing, functional capacity evaluations, and ergonomic assessments through physical therapists and specialized certified athletic trainers for Fortune 500 companies, and other clients comprising insurers and their contractors. U.S. Physical Therapy, Inc. was founded in 1990 and is based in Houston, Texas.

Comprehensive dataset of 4,226 Physical therapists in Colorado, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

ABSTRACT This study analyzes the working profile of physical therapists from the states of Rio de Janeiro (RJ) and Rio Grande do Sul (RS) in the management of people with Alzheimer’s disease (AD). A total of 256 responses were obtained to a questionnaire sent via the electronic address of the Regional Councils of Physical Therapy and Occupational Therapy (CREFITOS) 2 (RJ) and 5 (RS), from March to December 2020. The questionnaire comprises 36 closed questions, the variables of which were grouped into: (1) sample characterization; (2) specific data on the profession of physical therapist; and (3) issues related to AD. In this article, only issues related to AD will be analyzed. All questions were multiple choice with 2 to 15 options of answer. Most respondents (88.3%) had already treated patients with AD, but 50.8% needed to review the literature to assist these patients. The main objective reported in the management of the individual with AD was to “delay the progression of motor losses.” The practices were significantly different according to the stage of the disease (p

The primary goal of physical rehabilitation is to assess movement impairments and restore function to improve overall quality of life. Virtual reality (VR) may provide the optimal environment to promote these goals due to its motivating and modifiable nature which can be difficult to accomplish through traditional real-world therapeutic methods. Current research of VR for rehabilitation has demonstrated that VR interventions can produce clinically meaningful change in motor outcomes. Despite this, adoption and usage of VR by physical therapy professionals is unclear due to the limited research in this area. Thus, the purpose of this study was to identify the current usage and perspectives of VR in physical rehabilitation among physical therapy professionals. Physical Therapists (PTs) and Physical Therapist Assistants (PTAs) in the United States were recruited to participate in this survey-based study. A total of N = 658 participants completed the survey, which consisted of demographic information followed by the Assessing Determinants Of Prospective Take-up of Virtual Reality (ADOPT-VR2) survey that assesses 12 constructs (e.g., Attitudes, Perceived Usefulness, Facilitating Conditions and Barriers) related to the use of VR in clinical settings. Most respondents reported not using VR in clinical practice (n = 611; 92.9%). For all respondents, the constructs of Attitudes, Perceived Ease of Use, Compatibility, Client Influence, and Self-Efficacy were found to statistically contribute to the prediction of Behavioral Intention to use VR (p

Self-efficacy is the strongest predictor of completing home exercise programs (HEPs). How physical therapists address low levels of self-efficacy is unknown. Our objectives were to determine (1) knowledge and confidence in addressing patients’ self-efficacy; (2) strategies used to address low self-efficacy; and (3) barriers. Licensed physical therapists who are actively treating patients in the United States participated in our mixed-methods study consisting of: (1) a survey on knowledge, barriers, and confidence; and (2) interviews on strategies used to address low self-efficacy. Descriptive statistics were calculated on all quantitative data. Braun and Clarke’s 6-phase thematic analysis was used for the qualitative data. All 37 participants believed that self-efficacy impacts HEP completion. The majority (72.9%) reported addressing low self-efficacy. Barriers that impacted the ability to address low self-efficacy (Theme 1) included lack of knowledge, confidence, tools, guidance, and community resources, patients’ past experiences and complexities, inability to follow-up with patients, and reimbursement. Due to these barriers, participants primarily addressed patients’ low self-efficacy via communication (Theme 2) and ensuring successful exercise completion (Theme 3). Instead of using Bandura’s fours sources of self-efficacy (i.e., mastery experiences, verbal persuasion, vicarious experiences, physiological state), participants verbalized addressing low self-efficacy via communication and successful exercise completion. Thus, implementation studies evaluating strategies to overcome the identified barriers are needed. Self-efficacy is the strongest predictor of completing home exercise programs (HEPs) as prescribed. Instead of using evidence-informed strategies, physical therapists primarily address low self-efficacy via communication and ensuring that patients complete exercises successfully by simplifying the exercises and repeating the exercises until able to do them without cues. Barriers that keep physical therapists from using evidence-informed strategies include lack of knowledge, confidence, tools, guidance, and community resources, patients’ past experiences and complexities, inability to follow-up with patients, and reimbursement. Physical therapists’ ability to address low self-efficacy and increase HEP completion, can be improved by resolving clinical barriers (i.e., lack of knowledge) with implementation strategies (i.e., training).

A Gold Standard Corpus for Activity Information

Dataset Title: A Gold Standard Corpus for Activity Information (GoSCAI)

Dataset Curators: The Epidemiology & Biostatistics Section of the NIH Clinical Center Rehabilitation Medicine Department

Dataset Version: 1.0 (May 16, 2025)

Dataset Citation and DOI: NIH CC RMD Epidemiology & Biostatistics Section. (2025). A Gold Standard Corpus for Activity Information (GoSCAI) [Data set]. Zenodo. doi: 10.5281/zenodo.15528545

EXECUTIVE SUMMARY

This data statement is for a gold standard corpus of de-identified clinical notes that have been annotated for human functioning information based on the framework of the WHO's International Classification of Functioning, Disability and Health (ICF). The corpus includes 484 notes from a single institution within the United States written in English in a clinical setting. This dataset was curated for the purpose of training natural language processing models to automatically identify, extract, and classify information on human functioning at the whole-person, or activity, level.

CURATION RATIONALE

This dataset is curated to be a publicly available resource for the development and evaluation of methods for the automatic extraction and classification of activity-level functioning information as defined in the ICF. The goals of data curation are to 1) create a corpus of a size that can be manually deidentified and annotated, 2) maximize the density and diversity of functioning information of interest, and 3) allow public dissemination of the data.

LANGUAGE VARIETIES

Language Region: en-US

Prose Description: English as written by native and bilingual English speakers in a clinical setting

LANGUAGE USER DEMOGRAPHIC

The language users represented in this dataset are medical and clinical professionals who work in a research hospital setting. These individuals hold professional degrees corresponding to their respective specialties. Specific demographic characteristics of the language users such as age, gender, or race/ethnicity were not collected.

ANNOTATOR DEMOGRAPHIC

The annotator group consisted of five people, 33 to 76 years old, including four females and one male. Socioeconomically, they came from the middle and upper-middle income classes. Regarding first language, three annotators had English as their first language, one had Chinese, and one had Spanish. Proficiency in English, the language of the data being annotated, was native for three of the annotators and bilingual for the other two. The annotation team included clinical rehabilitation domain experts with backgrounds in occupational therapy, physical therapy, and individuals with public health and data science expertise. Prior to annotation, all annotators were trained on the specific annotation process using established guidelines for the given domain, and annotators were required to achieve a specified proficiency level prior to annotating notes in this corpus.

LINGUISTIC SITUATION AND TEXT CHARACTERISTICS

The notes in the dataset were written as part of clinical care within a U.S. research hospital between May 2008 and November 2019. These notes were written by health professionals asynchronously following the patient encounter to document the interaction and support continuity of care. The intended audience of these notes were clinicians involved in the patients' care. The included notes come from nine disciplines - neuropsychology, occupational therapy, physical medicine (physiatry), physical therapy, psychiatry, recreational therapy, social work, speech language pathology, and vocational rehabilitation. The notes were curated to support research on natural language processing for functioning information between 2018 and 2024.

PREPROCESSING AND DATA FORMATTING

The final corpus was derived from a set of clinical notes extracted from the hospital electronic medical record (EMR) for the purpose of clinical research. The original data include character-based digital content originally. We work in ASCII 8 or UNICODE encoding, and therefore part of our pre-processing includes running encoding detection and transformation from encodings such as Windows-1252 or ISO-8859 format to our preferred format.

On the larger corpus, we applied sampling to match our curation rationale. Given the resource constraints of manual annotation, we set out to create a dataset of 500 clinical notes, which would exclude notes over 10,000 characters in length.

To promote density and diversity, we used five note characteristics as sampling criteria. We used the text length as expressed in number of characters. Next, we considered the discipline group as derived from note type metadata and describes which discipline a note originated from: occupational and vocational therapy (OT/VOC), physical therapy (PT), recreation therapy (RT), speech and language pathology (SLP), social work (SW), or miscellaneous (MISC, including psychiatry, neurology and physiatry). These disciplines were selected for collecting the larger corpus because their notes are likely to include functioning information. Existing information extraction tools were used to obtain annotation counts in four areas of functioning and provided a note’s annotation count, annotation density (annotation count divided by text length), and domain count (number of domains with at least 1 annotation).

We used stratified sampling across the 6 discipline groups to ensure discipline diversity in the corpus. Because of low availability, 50 notes were sampled from SLP with relaxed criteria, and 90 notes each from the 5 other discipline groups with stricter criteria. Sampled SLP notes were those with the highest annotation density that had an annotation count of at least 5 and a domain count of at least 2. Other notes were sampled by highest annotation count and lowest text length, with a minimum annotation count of 15 and minimum domain count of 3.

The notes in the resulting sample included certain types of PHI and PII. To prepare for public dissemination, all sensitive or potentially identifying information was manually annotated in the notes and replaced with substituted content to ensure readability and enough context needed for machine learning without exposing any sensitive information. This de-identification effort was manually reviewed to ensure no PII or PHI exposure and correct any resulting readability issues. Notes about pediatric patients were excluded. No intent was made to sample multiple notes from the same patient. No metadata is provided to group notes other than by note type, discipline, or discipline group. The dataset is not organized beyond the provided metadata, but publications about models trained on this dataset should include information on the train/test splits used.

All notes were sentence-segmented and tokenized using the spaCy en_core_web_lg model with additional rules for sentence segmentation customized to the dataset. Notes are stored in an XML format readable by the GATE annotation software (https://gate.ac.uk/family/developer.html), which stores annotations separately in annotation sets.

CAPTURE QUALITY

As the clinical notes were extracted directly from the EMR in text format, the capture quality was determined to be high. The clinical notes did not have to be converted from other data formats, which means this dataset is free from noise introduced by conversion processes such as optical character recognition.

LIMITATIONS

Because of the effort required to manually deidentify and annotate notes, this corpus is limited in terms of size and representation. The curation decisions skewed note selection towards specific disciplines and note types to increase the likelihood of encountering information on functioning. Some subtypes of functioning occur infrequently in the data, or not at all. The deidentification of notes was done in a manner to preserve natural language as it would occur in the notes, but some information is lost, e.g. on rare diseases.

METADATA

Information on the manual annotation process is provided in the annotation guidelines for each of the four domains:

- Communication & Cognition (https://zenodo.org/records/13910167)

- Mobility (https://zenodo.org/records/11074838)

- Self-Care & Domestic Life (SCDL) (https://zenodo.org/records/11210183)

- Interpersonal Interactions & Relationships (IPIR) (https://zenodo.org/records/13774684)

Inter-annotator agreement was established on development datasets described in the annotation guidelines prior to the annotation of this gold standard corpus.

The gold standard corpus consists of 484 documents, which include 35,147 sentences in total. The distribution of annotated information is provided in the table below.