A systematic review and meta-analysis of survey research was conducted to estimate honorary authorship prevalence in health sciences. We searched PubMed, Lens.org, and Dimensions.ai. until January 5 2023. Methodological quality was assessed and quantitative syntheses were conducted. Nineteen surveys were included and rated as having low methodological quality. We found a pooled prevalence of 26% [95% CI 21–31] (6 surveys, 2758 respondents) of researchers that perceived co-author(s) as honorary on the publication at issue (when they were not referred to any authorship criteria). That prevalence was 18% [95% CI 15–21] (11 surveys, 4272 respondents) when researchers were referred to Committee of Medical Journal Editors (ICMJE) authorship criteria, and 51% [95% CI 47–56] (15 surveys, 5111 respondents) when researchers were asked to declare their co-author(s) contributions on the publication at issue (and these were then compared to ICMJE criteria). 10% of researchers [95% CI 9–12] (11 surveys, 3,663 respondents) reported being approached by others to include honorary author(s) on the publication at issue and 16% [95% CI 13–18] (2 surveys, 823 respondents) admitted adding (an) honorary author(s). Survey research consistently indicates that honorary authorship in the health sciences is highly prevalent, however the quality of the surveys’ methods and reporting needs improvement.
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Challenges that surveys are facing are increasing data collection costs and declining budgets. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done into the effect on quality and costs of reducing the use of interviewers in mixed-mode surveys starting with internet observation, followed by telephone or face-to-face observation of internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. Currently, adaptive survey design is an option in redesigns of social surveys at Statistics Netherlands. In 2018 it has been implemented in the Health Survey and the Public Opinion Survey, in 2019 in the Life Style Monitor and the Leisure Omnibus, in 2021 in the Labour Force Survey, and in 2022 it is planned for the Social Coherence Survey. This paper elaborates on the development of the adaptive survey design for the Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and the six-month parallel design with corresponding response results.
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Abstract Introduction: In 2017, the role of coordinating practitioner was introduced in the Netherlands in order to improve quality of care for patients who receive treatment in specialized mental health care. Psychiatric-mental health nurse practitioners (PMHNPs) can fulfil this role. Aim/Question: The aim was to obtain insight into how PMHNPs fulfil the coordinating practitioner role and what is needed to improve fulfilment of this role. Method: A survey among PMHNPs in the Netherlands was conducted between July-September 2018. In total, 381 PMHNP filled out the questionnaire; the response rate was 47.6%. Descriptive analyses were performed using SPSS 22® (IBM). Results: 92% Of the PMHNPs fulfilled the coordinating practitioner role and were generally satisfied with their role performance. The following conditions were formulated to improve this role: 1) recognition and trust in the expertise of PMHNPs, 2) a clear description of their role as coordinating practitioner, 3) strengthening multidisciplinary collaboration, and 4) sufficient training budget and opportunities. Discussion: In Dutch mental health care, PMHNPs have strengthened their position as coordinating practitioner in a short period of time. Follow-up research should be conducted to obtain further insights into elements that contribute to an optimal role as coordinating practitioner. Implications for Practice: Having PMHNPs act as coordinating practitioners can contribute to solving the challenges in mental health care regarding coordination of care and effective multidisciplinary collaboration.
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Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Objective: The objective of this study is to identify the current digital health projects and studies being carried out in Pakistan, as well as the key stakeholders involved in these initiatives. We aim to follow a mixed-methods strategy and to evaluate these projects and studies through a strengths, weaknesses, opportunities, and threats (SWOT) analysis to identify the internal and external factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Methods: This study aims to evaluate digital health projects carried out in the last 5 years in Pakistan with mixed methods. The qualitative and quantitative data obtained from field surveys were categorized according to the World Health Organization’s (WHO) recommended building blocks for health systems research, and the data were analyzed using a SWOT analysis strategy. Results: Of the digital health projects carried out in the last 5 years in Pakistan, 51 are studied. Of these projects, 46% (23/51) used technology for conducting research, 30% (15/51) used technology for implementation, and 12% (6/51) used technology for app development. The health domains targeted were general health (23/51, 46%), immunization (13/51, 26%), and diagnostics (5/51, 10%). Smartphones and devices were used in 55% (28/51) of the interventions, and 59% (30/51) of projects included plans for scaling up. Artificial intelligence (AI) or machine learning (ML) was used in 31% (16/51) of projects, and 74% (38/51) of interventions were being evaluated. The barriers faced by developers during the implementation phase included the populations’ inability to use the technology or mobile phones in 21% (11/51) of projects, costs in 16% (8/51) of projects, and privacy concerns in 12% (6/51) of projects.
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Background: Honorary authorship refers to the practice of naming an individual who has made little or no contribution to a publication as an author. Honorary authorship inflates the output estimates of honorary authors and deflates the value of the work by authors who truly merit authorship. This manuscript presents the protocol for a systematic review that will assess the prevalence of five honorary authorship issues in health sciences. Methods: Surveys of authors of scientific publications in health sciences that assess prevalence estimates will be eligible. No selection criteria will be set for the time point for measuring outcomes, the setting, the language of the publication, and the publication status. Eligible manuscripts are searched from inception onwards in PubMed, Lens.org, and Dimensions.ai. Two calibrated authors will independently search, determine eligibility of manuscripts, and conduct data extraction. The quality of each review outcome for each eligible manuscript will be assessed with a 14-item checklist developed and piloted for this review. Data will be qualitatively synthesized and quantitative syntheses will be performed where feasible. Criteria for precluding quantitative syntheses were defined a priori. The pooled random effects double arcsine transformed summary event rates of five outcomes on honorary authorship issues with the pertinent 95% confidence intervals will be calculated if these criteria are met. Summary estimates will be displayed after back-transformation. Stata software (Stata Corporation, College Station, TX, USA) version 16 will be used for all statistical analyses. Statistical heterogeneity will be assessed using Tau2 and Chi2 tests and I2 to quantify inconsistency. Discussion: The outcomes of the planned systematic review will give insights in the magnitude of honorary authorship in health sciences and could direct new research studies to develop and implement strategies to address this problem. However, the validity of the outcomes could be influenced by low response rates, inadequate research design, weighting issues, and recall bias in the eligible surveys. Systematic review registration: This protocol was registered a priori in the Open Science Framework (OSF) link: https://osf.io/5nvar/.
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A systematic review with meta-analysis was conducted to assess the prevalence of automatically listing (a) senior member(s) of a department as co-author(s) on all submitted articles in health sciences and the prevalence of degrees of support on a 5-point justification scale. Survey research was searched in PubMed, Lens.org, and Dimensions.ai. until January 5 2023. We assessed the methodological quality of studies and conducted quantitative syntheses. We identified 15 eligible surveys, that provided 67 results, all of which were rated as having low quality. A pooled estimate of 20% [95% CI 16–25] (10 surveys, 3619 respondents) of researchers in various health sciences reported that a senior member of their department was automatically listed as an author on all submitted articles. Furthermore, 28% [95% CI 22–34] of researchers (10 surveys, 2180 respondents) felt that this practice was ‘never’, 24% [95% CI 22–27] ‘rarely’, 25% [95% CI 23–28] ‘sometimes’, 13% [95% CI 9–17] ‘most of the time’, and 8% [95% CI 6–9] ‘always justified’. The practice of automatically assigning senior members of departments as co-authors on all submitted manuscripts may be common in the health sciences; with those admitting to this practice finding it unjustified in most cases.Registration of the protocol The protocol was registered in Open Science Framework. Link: https://osf.io/4eywp/.
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Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.
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Post-war urban neighbourhoods in industrialised countries have been shown to negatively affect the lifestyles of their residents due to their design. This study aims at developing an empirical procedure to select locations to be redesigned and the determinants of health at stake in these locations, with involvement of residents’ perspectives as core issue. We addressed a post-war neighbourhood in the city of Groningen, the Netherlands. We collected data from three perspectives: spatial analyses by urban designers, interviews with experts in local health and social care (n = 11) and online questionnaires filled in by residents (n = 99). These data provided input for the selection of locations to be redesigned by a multidisciplinary team (n = 16). The procedure yielded the following types of locations (and determinants): An area adjacent to a central shopping mall (social interaction, traffic safety, physical activity), a park (experiencing green, physical activity, social safety, social interaction) and a block of low-rise row houses around a public square (social safety, social interaction, traffic safety). We developed an empirical procedure for the selection of locations and determinants to be addressed, with addressing residents’ perspectives. This procedure is potentially applicable to similar neighbourhoods internationally.
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Background and Objective: To develop a health care value framework for physical therapy primary health care organizations including a definition. Method: A scoping review was performed. First, relevant studies were identified in 4 databases (n = 74). Independent reviewers selected eligible studies. Numerical and thematic analyses were performed to draft a preliminary framework including a definition. Next, the feasibility of the framework and definition was explored by physical therapy primary health care organization experts. Results: Numerical and thematic data on health care quality and context-specific performance resulted in a health care value framework for physical therapy primary health care organizations—including a definition of health care value, namely “to continuously attain physical therapy primary health care organization-centered outcomes in coherence with patient- and stakeholder-centered outcomes, leveraged by an organization’s capacity for change.” Conclusion: Prior literature mainly discussed health care quality and context-specific performance for primary health care organizations separately. The current study met the need for a value-based framework, feasible for physical therapy primary health care organizations, which are for a large part micro or small. It also solves the omissions of incoherent literature and existing frameworks on continuous health care quality and context-specific performance. Future research is recommended on longitudinal exploration of the HV (health care value) framework.
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This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.
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