4 datasets found
  1. N

    Pillbox - Archived Data

    • datadiscovery.nlm.nih.gov
    csv, xlsx, xml
    Updated Oct 5, 2020
    + more versions
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    (2020). Pillbox - Archived Data [Dataset]. https://datadiscovery.nlm.nih.gov/Chemicals-and-Drugs/Pillbox-Archived-Data/crzr-uvwg
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Oct 5, 2020
    Description

    This resource was retired on January 28, 2021 and is no longer updated. These data remain available to support research and development efforts. Pillbox's final image library is available at https://ftp.nlm.nih.gov/projects/pillbox/pillbox_production_images_full_202008.zip. For more information on Pillbox's retirement visit https://www.nlm.nih.gov/pubs/techbull/ja20/ja20_pillbox_discontinue.html.

    Pillbox contains metadata for oral solid dosage form medications, derived from FDA drug labeling, including physical characteristics, active and inactive ingredients, National Drug Codes, information about firms marketing those products, selected information from RxNorm, and links to images provided by the National Library of Medicine.

  2. Pillbox Master Data Lookup

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Pillbox Master Data Lookup [Dataset]. https://www.johnsnowlabs.com/marketplace/pillbox-master-data-lookup/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    This dataset is the master file of the Pillbox database of the US National Library of Medicine (NLM), which contains descriptive information on the existing medication pills in the market. Values supplied by the drug companies to FDA (Food and Drug Administration) as part of the Structured Product Labels are labeled "SPL". All other values are added by the National Library of Medicine’s (NLM) Pillbox or RxNorm datasets.

  3. f

    Data_Sheet_1_Feasibility and acceptability of the smart pillbox and...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Feb 20, 2024
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    Mleoh, Liberate; Mganga, Andrew; van Kalmthout, Kristian; Letta, Taye; Fielding, Katherine L.; Charalambous, Salome; Maraba, Noriah; Dube, Tanyaradzwa N.; Tadesse, Amare W.; Jerene, Degu; Foster, Nicola; Garfin, Anna M. C.; Alacapa, Jason (2024). Data_Sheet_1_Feasibility and acceptability of the smart pillbox and medication label with differentiated care to support person-centered tuberculosis care among ASCENT trial participants – A multicountry study.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001471037
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    Dataset updated
    Feb 20, 2024
    Authors
    Mleoh, Liberate; Mganga, Andrew; van Kalmthout, Kristian; Letta, Taye; Fielding, Katherine L.; Charalambous, Salome; Maraba, Noriah; Dube, Tanyaradzwa N.; Tadesse, Amare W.; Jerene, Degu; Foster, Nicola; Garfin, Anna M. C.; Alacapa, Jason
    Description

    IntroductionDigital adherence technologies (DATs) can offer alternative approaches to support tuberculosis treatment medication adherence. Evidence on their feasibility and acceptability in high TB burden settings is limited. We conducted a cross-sectional survey among adults with drug-sensitive tuberculosis (DS-TB), participating in pragmatic cluster-randomized trials for the Adherence Support Coalition to End TB project in Ethiopia (PACTR202008776694999), the Philippines, South Africa and Tanzania (ISRCTN 17706019).MethodsFrom each country we selected 10 health facilities implementing the DAT intervention (smart pillbox or medication labels, with differentiated care support), ensuring inclusion of urban/rural and public/private facilities. Adults on DS-TB regimen using a DAT were randomly selected from each facility. Feasibility of the DATs was assessed using a standardized tool. Acceptability was measured using a 5-point Likert-scale, using the Capability, Opportunity, Motivation, Behavior (COM-B) model. Mean scores of Likert-scale responses within each COM-B category were estimated, adjusted for facility-level clustering. Data were summarized by country and DAT type.ResultsParticipants using either the pillbox (n = 210) or labels (n = 169) were surveyed. Among pillbox users, phone ownership (79%), use of pillbox reminders (87%) and taking treatment without the pillbox (22%) varied by country. Among label users, phone ownership (81%), paying extra to use the labels (8%) and taking treatment without using labels (41%) varied by country. Poor network, problems with phone charging and access, not having the pillbox and forgetting to send text were reasons for not using DATs. Overall, people with TB had a favorable impression of both DATs, with mean composite scores between 4·21 to 4·42 across COM-B categories. Some disclosure concerns were reported.ConclusionFrom client-perspective, pillboxes and medication labels with differentiated care support were feasible to implement and acceptable in variety of settings. However, implementation challenges related to network, phone access, stigma, additional costs to people with TB to use DATs need to be addressed.

  4. w

    Global Drug Interactions Checker Market Research Report: By Technology...

    • wiseguyreports.com
    Updated Aug 3, 2025
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    (2025). Global Drug Interactions Checker Market Research Report: By Technology (Web-based Solutions, Mobile Applications, Desktop Software), By End User (Healthcare Professionals, Pharmacists, Patients, Healthcare Institutions), By Product Type (Free Tools, Subscription-Based Services, Enterprise Solutions), By Deployment Mode (Cloud-Based, On-Premises) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/drug-interactions-checker-market
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    Dataset updated
    Aug 3, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 1, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 2024900(USD Million)
    MARKET SIZE 20251,000(USD Million)
    MARKET SIZE 20352,500(USD Million)
    SEGMENTS COVEREDTechnology, End User, Product Type, Deployment Mode, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSgrowing demand for patient safety, increasing prevalence of polypharmacy, advancements in technology integration, rise in healthcare expenditure, regulatory compliance and standards
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDMedscape, Epocrates, WebMD, NLM Drug Information Portal, Ask a Pharmacist, Pillbox, Mayo Clinic, Drugs.com, RxList, UpToDate, GoodRx, IBM Watson Health, SingleCare, Clinical Pharmacology
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESAI-driven drug interaction analysis, Integrating with telehealth platforms, Expanding mobile application solutions, Increased demand for personalized medicine, Enhanced regulatory requirements compliance
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.3% (2025 - 2035)
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(2020). Pillbox - Archived Data [Dataset]. https://datadiscovery.nlm.nih.gov/Chemicals-and-Drugs/Pillbox-Archived-Data/crzr-uvwg

Pillbox - Archived Data

Explore at:
xlsx, csv, xmlAvailable download formats
Dataset updated
Oct 5, 2020
Description

This resource was retired on January 28, 2021 and is no longer updated. These data remain available to support research and development efforts. Pillbox's final image library is available at https://ftp.nlm.nih.gov/projects/pillbox/pillbox_production_images_full_202008.zip. For more information on Pillbox's retirement visit https://www.nlm.nih.gov/pubs/techbull/ja20/ja20_pillbox_discontinue.html.

Pillbox contains metadata for oral solid dosage form medications, derived from FDA drug labeling, including physical characteristics, active and inactive ingredients, National Drug Codes, information about firms marketing those products, selected information from RxNorm, and links to images provided by the National Library of Medicine.

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