14 datasets found
  1. g

    Liberal Health Professionals: average ages, male/female share

    • gimi9.com
    Updated Dec 22, 2024
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    (2024). Liberal Health Professionals: average ages, male/female share [Dataset]. https://gimi9.com/dataset/eu_eec90790de7fdaa91f61cfe76e2f189a53bc783d
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    Dataset updated
    Dec 22, 2024
    Description

    This dataset is one of the sources of data visualisations available on the [Liberal Health Professionals] website(https://data.ameli.fr/pages/data-professionnels-sante-liberaux/). ### General information: The liberal health professions available in this dataset are: * the doctors (with more than twenty medical specialties); * dental surgeons** (including dentofacial orthopaedic specialists – ODF); * the women; * medical assistants with five professions: nurses, massage therapists, speech therapists, orthoptists, pedicures-podologists. They are health professionals active on 31 December of the year concerned and: * exercising their activity as a liberal; * in metropolitan France, Guadeloupe, French Guiana, Reunion, Martinique and Mayotte; * having received at least EUR 1 in fees; * whether they are contracted with the Sickness Insurance or not (when they generate a prescription reimbursed by the Sickness Insurance); * professionals in employment-retirement cumulation are counted in the workforce as long as they meet the previous conditions. This dataset presents demographic information about liberal healthcare professionals such as: *average ages: * women; * men; * global; * share of women; * share of men; * share 60 years of age and older; * share of under 60s. This dataset is complementary to the following dataset: Liberal health professionals: number and density by age group, sex and territory (department, region). Only the national level is available for this data. The data are derived from the National Health Data System (NSDS). For more information (source, field, definitions of modalities), visit the Method page of this site. ### Data update: The data proposed for download in the “Export” tab is updated every year (data from the whole of France since 2010).

  2. T

    France Nurses

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, France Nurses [Dataset]. https://tradingeconomics.com/france/nurses
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    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1998 - Dec 31, 2021
    Area covered
    France
    Description

    Nurses in France increased to 9.64 per 1000 people in 2021 from 9.43 per 1000 people in 2020. This dataset includes a chart with historical data for France Nurses.

  3. f

    Data from: Human Resources and Family Health Strategy in the North of Minas...

    • datasetcatalog.nlm.nih.gov
    • scielo.figshare.com
    Updated Oct 16, 2019
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    de Souza Leite, Maisa Tavares; Damasceno, Renata Fiúza; da Silveira, Denise Maria Mendes Lúcio; de Melo Costa, Simone; Barbosa, Ludmila Gonçalves (2019). Human Resources and Family Health Strategy in the North of Minas Gerais: advances and challenges [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000177408
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    Dataset updated
    Oct 16, 2019
    Authors
    de Souza Leite, Maisa Tavares; Damasceno, Renata Fiúza; da Silveira, Denise Maria Mendes Lúcio; de Melo Costa, Simone; Barbosa, Ludmila Gonçalves
    Area covered
    State of Minas Gerais
    Description

    Abstract Background The public health system presents challenges for human resources. Objective To evaluate the advances and challenges in the management of human resources included in the Family Health Strategy - FHS in northern Minas Gerais, Brazil. Method A cross-sectional study with 317 professionals linked to the FHS: dentists, nurses and doctors was carried out. For data collection, it was used a questionnaire with variables: sociodemographic and economic characteristics, employment relationship, career path, permanent and continuing education, and financial incentive. It was also evaluated the remuneration according to gender, career plan and professional category; and professional category according to gender, career plan and permanent education; significance level p <0.05. Results The most were women (65.2%), nurses (46.3%), postgraduates (51.1%), bond by administrative contract (67.4%), no career plan (90.8%) and financial incentives (61.1%) and participated in permanent education (57.8%). More than 40% worked in the FHS of another municipality and 117 completed specialization in FHS / public / collective health. The higher remuneration was for medicine (p <0.05) and for men (p <0.05). Nursing presented higher percentage of women, of professionals with career plan and permanent education (p <0.05). Conclusion Advances stand out in professional qualification, specialists and / or capacitation in service. There are challenges concerning to the precariousness conditions of work, which contributes to the turnover of professionals.

  4. Data from: Health professionals’ perception of patient safety culture in a...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 5, 2023
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    Julia Hiromi Hori Okuyama; Taís Freire Galvão; Marcia Terezinha Lonardoni Crozatti; Marcus Tolentino Silva (2023). Health professionals’ perception of patient safety culture in a university hospital in São Paulo: A cross-sectional study applying the Hospital Survey on Patient Safety Culture [Dataset]. http://doi.org/10.6084/m9.figshare.8988323.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Julia Hiromi Hori Okuyama; Taís Freire Galvão; Marcia Terezinha Lonardoni Crozatti; Marcus Tolentino Silva
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT BACKGROUND: Patient safety culture is part of the organizational profile of healthcare institutions and is associated with better quality of care. OBJECTIVE: To assess patient safety culture in a university hospital. DESIGN AND SETTING: Hospital-based cross-sectional study conducted in a public university hospital in São Paulo, Brazil, between September and December 2015. METHODS: We randomly selected 68 sectors of the hospital, to include up to 5 employees from each sector, regardless of length of experience. We used the validated Brazilian version of the Hospital Survey on Patient Safety Culture (HSOPS) via an electronic interface. We calculated the percentage of positive responses for each dimension of the HSOPS and explored the differences in age, experience, occupation and educational level of respondents using the chi-square test. RESULTS: Out of 324 invited respondents, 314 (97%) accepted the invitation and were surveyed. The sample presented predominance of women (72%), nursing staff (45%) and employees with less than six years’ experience at the hospital (60%). Nine out of the 12 dimensions showed percentages of positive responses below 50%. The worst results related to “nonpunitive response to errors” (16%). A better safety culture was observed among more experienced staff, nurses and employees with a lower educational level. In the previous year, no events were reported by 65% of the participants. CONCLUSIONS: The patient safety culture presented weaknesses and most of professionals had not reported any event in the previous year. A policy for improvement and cyclical assessment is needed to ensure safe care.

  5. Standardized incidence ratios (SIRs) for specific cancer types among female...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 30, 2023
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    Cheng-Che Shen; Yu-Wen Hu; Li-Yu Hu; Chin-Lin Perng; Tung-Ping Su; Chung-Jen Teng; Sang-Hue Yen; Cheng-Hwai Tzeng; Tzeon-Jye Chiou; Chiu-Mei Yeh; Tzeng-Ji Chen; Wei-Shu Wang; Pan-Ming Chen; Chia-Jen Liu (2023). Standardized incidence ratios (SIRs) for specific cancer types among female registered nurses. [Dataset]. http://doi.org/10.1371/journal.pone.0068420.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng-Che Shen; Yu-Wen Hu; Li-Yu Hu; Chin-Lin Perng; Tung-Ping Su; Chung-Jen Teng; Sang-Hue Yen; Cheng-Hwai Tzeng; Tzeon-Jye Chiou; Chiu-Mei Yeh; Tzeng-Ji Chen; Wei-Shu Wang; Pan-Ming Chen; Chia-Jen Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    SIR Standardized incidence ratio; CI confidence interval.

  6. f

    Table_1_Gender-Based Analysis of the Psychological Impact of the COVID-19...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jul 20, 2021
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    Pijoán-Zubizarreta, José Ignacio; Leonés-Gil, Elena María; López-Atanes, Mayte; González-Pinto, Ana; Segarra, Rafael; Sáenz-Herrero, Margarita; Recio-Barbero, María; González-Briceño, Juan Pablo (2021). Table_1_Gender-Based Analysis of the Psychological Impact of the COVID-19 Pandemic on Healthcare Workers in Spain.XLS [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000816230
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    Dataset updated
    Jul 20, 2021
    Authors
    Pijoán-Zubizarreta, José Ignacio; Leonés-Gil, Elena María; López-Atanes, Mayte; González-Pinto, Ana; Segarra, Rafael; Sáenz-Herrero, Margarita; Recio-Barbero, María; González-Briceño, Juan Pablo
    Description

    Purpose: This study aims to analyze from a gender perspective the psychological distress experienced by the medical workforce during the peak of the pandemic in Spain.Methods: This is a single-center, observational analytic study. The study population comprised all associated health workers of the Cruces University Hospital, invited by email to participate in the survey. It consisted of a form covering demographic data, the general health questionnaire-28 (GHQ-28), and the perceived stress scale (PSS-14). We used multivariant regression analysis to check the effect of gender on the scores. We used gender analysis in both design and interpretation of data following SAGER guidelines.Results: Females made 74.6% of our sample, but their proportion was higher in lower-paid positions such as nursery (89.9%) than in higher-paid ones. The percentage of women categorized as cases with the GHQ-28 was 78.4%, a proportion significantly higher than in the male population (61.3%, p < 0.001). The multivariant regression analysis showed that being women, working as orderly hospital porters, and having a past psychiatric history were risk factors for higher scores in both the GHQ-28 and PSS-14.Conclusion: Women and those with lower-paid positions were at risk of higher psychological distress and worse quality of life within the medical workforce during the first wave of the pandemic. Gender analysis must be incorporated to analyze this fact better.

  7. d

    Statistics on Local Stop Smoking Services in England

    • digital.nhs.uk
    Updated Sep 7, 2021
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    (2021). Statistics on Local Stop Smoking Services in England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-nhs-stop-smoking-services-in-england
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    Dataset updated
    Sep 7, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2020 - Mar 31, 2021
    Area covered
    England
    Description

    This quarterly report presents results from the monitoring of the NHS Stop Smoking Services (SSS) in England during the period April 2020 to March 2021. NHS Stop Smoking Services offer support to help people quit smoking. This can include intensive support through group therapy or one-to-one support. The support is designed to be widely accessible within the local community and is provided by trained personnel, such as specialist smoking cessation advisers and trained nurses and pharmacists. This report includes information on the number of people setting a quit date and the number who successfully quit at the 4-week follow-up. It also presents in depth analyses of the key measures of the service including pregnant women, breakdowns by ethnic group and type of pharmacotherapy received. The results are provided at national, regional and local authority levels. Due to the coronavirus illness (COVID-19) disruption, it would seem that this is affecting the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also seeing some different patterns in submitted data. For SSS, whilst the number of non-submitters has increased, there has been an increase in quit rates and a sharp decline in number of CO validations carried out as they are usually done face to face with a health professional.

  8. f

    Zimbabwe 2016 Health Professionals Survey.dta

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    Updated Oct 24, 2018
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    Chipato, Tsungai; Crowell, Marjorie; Moore, Ann M.; Madzima, Bernard; Sully, Elizabeth; Madziyire, Mugove Gerald; Nyandoro, Margaret Tambudzai; Riley, Taylor (2018). Zimbabwe 2016 Health Professionals Survey.dta [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000602335
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    Dataset updated
    Oct 24, 2018
    Authors
    Chipato, Tsungai; Crowell, Marjorie; Moore, Ann M.; Madzima, Bernard; Sully, Elizabeth; Madziyire, Mugove Gerald; Nyandoro, Margaret Tambudzai; Riley, Taylor
    Area covered
    Zimbabwe
    Description

    This dataset provides estimates from 118 experts who are knowledgeable about induced abortion provision in Zimbabwe. For each residential (urban and rural) and poverty (poor and nonpoor) group, respondents gave estimates about the share of different types of abortions (surgical, misoprostol and other) performed by various types of providers (doctors, nurses, pharmacists, traditional providers, women themselves); the proportion from each provider and method that will result in complications; and the proportion of women who will seek treatment for her complications. This dataset also includes information on respondents' knowledge and attitudes toward the abortion law.Residential and poverty groups up = urban poor women unp = urban nonpoor women rp = rural poor women rnp = rural nonpoor women Types of abortion m = misoprostol s = surgical abortion o = other types of abortion Provider performing abortion dr = medical doctor nurse = nurse/midwife trad = traditional provider (anyone without formal training) pharm = pharmacists self = woman herself (self-induced abortion)

  9. Characteristics of female registered nurses.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Cheng-Che Shen; Yu-Wen Hu; Li-Yu Hu; Chin-Lin Perng; Tung-Ping Su; Chung-Jen Teng; Sang-Hue Yen; Cheng-Hwai Tzeng; Tzeon-Jye Chiou; Chiu-Mei Yeh; Tzeng-Ji Chen; Wei-Shu Wang; Pan-Ming Chen; Chia-Jen Liu (2023). Characteristics of female registered nurses. [Dataset]. http://doi.org/10.1371/journal.pone.0068420.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng-Che Shen; Yu-Wen Hu; Li-Yu Hu; Chin-Lin Perng; Tung-Ping Su; Chung-Jen Teng; Sang-Hue Yen; Cheng-Hwai Tzeng; Tzeon-Jye Chiou; Chiu-Mei Yeh; Tzeng-Ji Chen; Wei-Shu Wang; Pan-Ming Chen; Chia-Jen Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of female registered nurses.

  10. Respondents’ dosage use of oxytocin for prevention of PPH in women.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 9, 2023
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    Chioma S. Ejekam; Florence M. Nyangara; Chimezie Anyakora; Jude Nwokike (2023). Respondents’ dosage use of oxytocin for prevention of PPH in women. [Dataset]. http://doi.org/10.1371/journal.pone.0258096.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chioma S. Ejekam; Florence M. Nyangara; Chimezie Anyakora; Jude Nwokike
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Respondents’ dosage use of oxytocin for prevention of PPH in women.

  11. Comparison of respondents’ experience of oxytocin failure by oxytocin dosage...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 7, 2023
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    Chioma S. Ejekam; Florence M. Nyangara; Chimezie Anyakora; Jude Nwokike (2023). Comparison of respondents’ experience of oxytocin failure by oxytocin dosage used for prevention of PPH in women. [Dataset]. http://doi.org/10.1371/journal.pone.0258096.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chioma S. Ejekam; Florence M. Nyangara; Chimezie Anyakora; Jude Nwokike
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison of respondents’ experience of oxytocin failure by oxytocin dosage used for prevention of PPH in women.

  12. f

    Descriptive statistics for each category of SBAR technique.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Lucy Pilcher; Merina Kurian; Christine MacArthur; Sanjeev Singh; Semira Manaseki-Holland (2023). Descriptive statistics for each category of SBAR technique. [Dataset]. http://doi.org/10.1371/journal.pone.0268239.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lucy Pilcher; Merina Kurian; Christine MacArthur; Sanjeev Singh; Semira Manaseki-Holland
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics for each category of SBAR technique.

  13. Changes proposed to improve interrater agreement.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Dec 31, 2024
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    Marta Raurell-Torredà; Ignacio Zaragoza-García; Oscar Arrogante; Anna María Aliberch-Raurell; Francisco Javier Sánchez-Chillón; Martín Torralba-Melero; Andrés Rojo-Rojo; Alfonso Muriel-García; Ana Carolina Amaya Arias; Juan Roldán-Merino; Mariona Farrés-Tarafa (2024). Changes proposed to improve interrater agreement. [Dataset]. http://doi.org/10.1371/journal.pone.0313175.t003
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    xlsAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Marta Raurell-Torredà; Ignacio Zaragoza-García; Oscar Arrogante; Anna María Aliberch-Raurell; Francisco Javier Sánchez-Chillón; Martín Torralba-Melero; Andrés Rojo-Rojo; Alfonso Muriel-García; Ana Carolina Amaya Arias; Juan Roldán-Merino; Mariona Farrés-Tarafa
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ObjectiveTo analyse the interrater reliability of the NEUMOBACT checklist and verify whether consistent results are reproducible.MethodsA validation study with a cross-sectional design, compliant with the GRRAS checklist, among ICU nurses attending a SIMULAZERO course with an Objective Structured Clinical Evaluation simulation format, to verify transfer from theory to clinical practice of knowledge and skills in ventilator-associated pneumonia (VAP) and catheter-related bacteraemia (CRB) prevention. A minimum sample size of 111 pairs of nurse raters was calculated. Interrater agreement was analysed using Gwet’s AC1 for each item and as a total for each of the three checklists in the NEUMOBACT instrument.ResultsA total of 95 pairs of valid NEUMOBACT checklists were completed by 190 raters with a median age of 29 [25–35] years, 93.7% were female. At the Central Venous Catheter insertion station, Gwet’s AC1 was 0.934 (95% CI [0.919–0.949]). Only 2 of the 17 items scored below 0.9. At the Endotracheal Suctioning station, Gwet’s AC1 was 0.869 (95% CI [0.851–0.886]). Of the 26 items that made up this station, 16 had an agreement percentage above 0.9, a further 9 were between 0.821 and 0.884, and item 13 had a value of 0.789. At the Patient Care station, Gwet’s AC1 was 0.911 (95% CI [0.896–0.927]). Of the 21 items, 17 showed an agreement percentage above 0.9 and 4 were between 0.810 and 0.894.ConclusionsThe interrater reliability of the NEUMOBACT checklist shows substantial agreement between pairs of raters and is therefore validated in this large sample of ICU nurses.Relevance to clinical practiceThe NEUMOBACT checklist can be useful for assessing skills before and after training in VAP and CRB prevention measures and during debriefing (post-simulation feedback), to reinforce the scientific evidence behind actions and decisions for items that have been performed incorrectly, thus consolidating training already received.

  14. f

    Demographic characteristics of the respondents.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Mar 14, 2024
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    Godfred Atta-Osei; Enoch Acheampong; Daniel Gyaase; Rebecca Tawiah; Theresah Ivy Gyaase; Richard Adade; Douglas Fofie; Isaac Owusu; Wisdom Kwadwo Mprah (2024). Demographic characteristics of the respondents. [Dataset]. http://doi.org/10.1371/journal.pgph.0002822.t002
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    xlsAvailable download formats
    Dataset updated
    Mar 14, 2024
    Dataset provided by
    PLOS Global Public Health
    Authors
    Godfred Atta-Osei; Enoch Acheampong; Daniel Gyaase; Rebecca Tawiah; Theresah Ivy Gyaase; Richard Adade; Douglas Fofie; Isaac Owusu; Wisdom Kwadwo Mprah
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundWhile COVID-19 has had a wide-ranging impact on individuals and societies, persons with disabilities are uniquely affected largely due to secondary health conditions and challenges in adhering to protective measures. However, research on COVID-19 and vaccine acceptance has primarily focused on the general population and healthcare workers but has specifically not targeted PwDs, who are more vulnerable within societies. Hence, this study assessed PwDs knowledge of COVID-19 and factors associated with COVID-19 vaccine acceptance.MethodsA cross-sectional survey was conducted among PwDs in the Atwima Mponua District in the Ashanti Region of Ghana. Respondents were sampled systematically and data was collected using a structured questionnaire. The data were analyzed with STATA version 16.0. Descriptive analysis was done using means and proportions. The chi-square test and Logistic regression were used to assess Covid-19 vaccine acceptance among the respondents.Results250 PwDs were recruited for the study. A higher proportion of the respondents were females, physically impaired, and between 30–50 years. The majority (74%) of the PwDs had average knowledge about Covid-19. Factors such as age, educational level and type of disability were significantly associated with PwDs’ knowledge of COVID-19. The acceptance rate for COVID-19 among PwDs was 71.2%. Age, religion, knowledge of COVID-19, and educational level were significantly associated with Covid-19 vaccine acceptance. Persons with disabilities with low and average knowledge of COVID-19 were 95% and 65%, respectively, less likely to accept the vaccine compared to those with high knowledge of COVID-19 (AOR = 0.05, 95%CI: 0.01, 0.21; AOR = 0.35, 95%CI: 0.12, 1.03). Older people and those with higher education were more likely to accept the vaccine compared to younger people and those with no or less education.ConclusionPersons with disabilities have average knowledge of COVID-19 and a greater percentage of them were willing to accept the vaccine. The study identified age, religion, knowledge of COVID-19, and educational level as contributing factors to their willingness to accept the COVID-19 vaccine. This suggest that PwDs will lean positive toward COVID-19 vaccine programs and as such, vaccination programs should target them.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2024). Liberal Health Professionals: average ages, male/female share [Dataset]. https://gimi9.com/dataset/eu_eec90790de7fdaa91f61cfe76e2f189a53bc783d

Liberal Health Professionals: average ages, male/female share

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Dataset updated
Dec 22, 2024
Description

This dataset is one of the sources of data visualisations available on the [Liberal Health Professionals] website(https://data.ameli.fr/pages/data-professionnels-sante-liberaux/). ### General information: The liberal health professions available in this dataset are: * the doctors (with more than twenty medical specialties); * dental surgeons** (including dentofacial orthopaedic specialists – ODF); * the women; * medical assistants with five professions: nurses, massage therapists, speech therapists, orthoptists, pedicures-podologists. They are health professionals active on 31 December of the year concerned and: * exercising their activity as a liberal; * in metropolitan France, Guadeloupe, French Guiana, Reunion, Martinique and Mayotte; * having received at least EUR 1 in fees; * whether they are contracted with the Sickness Insurance or not (when they generate a prescription reimbursed by the Sickness Insurance); * professionals in employment-retirement cumulation are counted in the workforce as long as they meet the previous conditions. This dataset presents demographic information about liberal healthcare professionals such as: *average ages: * women; * men; * global; * share of women; * share of men; * share 60 years of age and older; * share of under 60s. This dataset is complementary to the following dataset: Liberal health professionals: number and density by age group, sex and territory (department, region). Only the national level is available for this data. The data are derived from the National Health Data System (NSDS). For more information (source, field, definitions of modalities), visit the Method page of this site. ### Data update: The data proposed for download in the “Export” tab is updated every year (data from the whole of France since 2010).

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