BACKGROUND

This study explores the professional functions and experiences of male midwives in the Province of Aurora, highlighting their roles, challenges, and contributions to maternal and child healthcare in a traditionally female-dominated profession.

This study aims to investigate the professional functions and lived experiences of male midwives in the Province of Aurora.

This research employed a qualitative ethnographic design using semi-structured interviews to collect data. Participants were six male midwives practicing in Aurora. Data collection was conducted via mobile phone interviews from August to September 2024. A purposive sampling technique was utilized to select participants. The study adhered to ethical guidelines, receiving approval from the University of Northern Philippines Ethics Review Committee Code: 2024-251, and informed consent was obtained from all participants. Data were analyzed using qualitative content analysis. Qualitative inductive content analysis as described by Padgett was utilized to allow for data-driven analysis without pre-defined themes, making it suitable for exploring the diverse experiences of male midwives.

Analysis revealed six key themes: Diverse professional functions, gender bias and stereotyping, patient reluctance and shyness, cultural influences, experiences of discrimination and prejudice, and daily challenges and rewards in practice. The findings underscore the commitment of male midwives to providing quality care despite societal and professional barriers. Under the Functions theme, male midwives described their roles as not only caregivers but also as advocates for gender inclusivity in midwifery. In terms of experiences, some reported feelings of isolation and the need to prove their competence in a field dominated by women. However, they also shared empowering stories of camaraderie with female colleagues and the satisfaction derived from breaking down gender barriers.

Male midwives play a vital role in maternal and newborn healthcare, navigating challenges such as gender bias and patient hesitancy. Strengthening administrative support, promoting inclusivity, and updating policies can enhance their professional integration. Advocacy efforts from professional organizations are necessary to address workplace challenges and recognize their contributions to healthcare.

BACKGROUND

This study explores the professional functions and experiences of male midwives in the Province of Aurora, highlighting their roles, challenges, and contributions to maternal and child healthcare in a traditionally female-dominated profession.

This study aims to investigate the professional functions and lived experiences of male midwives in the Province of Aurora.

This research employed a qualitative ethnographic design using semi-structured interviews to collect data. Participants were six male midwives practicing in Aurora. Data collection was conducted via mobile phone interviews from August to September 2024. A purposive sampling technique was utilized to select participants. The study adhered to ethical guidelines, receiving approval from the University of Northern Philippines Ethics Review Committee Code: 2024-251, and informed consent was obtained from all participants. Data were analyzed using qualitative content analysis. Qualitative inductive content analysis as described by Padgett was utilized to allow for data-driven analysis without pre-defined themes, making it suitable for exploring the diverse experiences of male midwives.

Analysis revealed six key themes: Diverse professional functions, gender bias and stereotyping, patient reluctance and shyness, cultural influences, experiences of discrimination and prejudice, and daily challenges and rewards in practice. The findings underscore the commitment of male midwives to providing quality care despite societal and professional barriers. Under the Functions theme, male midwives described their roles as not only caregivers but also as advocates for gender inclusivity in midwifery. In terms of experiences, some reported feelings of isolation and the need to prove their competence in a field dominated by women. However, they also shared empowering stories of camaraderie with female colleagues and the satisfaction derived from breaking down gender barriers.

Male midwives play a vital role in maternal and newborn healthcare, navigating challenges such as gender bias and patient hesitancy. Strengthening administrative support, promoting inclusivity, and updating policies can enhance their professional integration. Advocacy efforts from professional organizations are necessary to address workplace challenges and recognize their contributions to healthcare.

OBJECTIVE: To re-evaluate the systematic review/Meta-analysis of acupuncture and moxibustion for childhood autism (CA), aiming to provide decision-making basis for clinical diagnosis and treatment. METHODS: The systematic review and/or Meta-analysis of acupuncture and moxibustion for CA were searched in PubMed, EMbase, Cochrane Library, SinoMed, CNKI and Wanfang databases. The retrieval time was from the database establishment to May 5th, 2022. PRISMA (preferred reporting items for systematic reviews and Meta-analyses) was used to evaluate the report quality, and AMSTAR 2 (a measurement tool to assess systematic reviews 2) was used to evaluate the methodological quality, bubble map was used to construct the evidence map and GRADE was used to evaluate the quality of evidence. RESULTS: A total of 9 systematic reviews were included. The PRISMA scores ranged from 13 to 26. The report quality was low, and there was a serious lack in the aspects of program and registration, search, other analysis and funding. The main problems in methodology included not making prespecified protocol, incomplete retrieval strategy, not providing a list of excluded literatures, and incomplete explanation on heterogeneity analysis and bias risk. The evidence map showed that 6 conclusions were valid, 2 conclusions were possible valid and 1 conclusion was uncertain valid. The overall quality of evidence was low, and the main factors leading to the downgrade were limitations, followed by inconsistency, imprecision and publication bias. CONCLUSION Acupuncture and moxibustion has a certain effect for CA, but the quality of reporting, methodology and evidence in included literature need to be improved. It is suggested to perform high-quality and standardized research in the future to provide evidence-based basis.
Child ; Humans ; Acupuncture Therapy/methods* ; Autistic Disorder ; Moxibustion/methods* ; Publication Bias ; Research Design ; Systematic Reviews as Topic ; Meta-Analysis as Topic

The emerging field of generative artificial intelligence (GAI) and some of its well-known technologies: ChatGPT, Google Bard and Claude, have gained substantial popularity due to their enormous potential in healthcare applications, as seen in medically fine-tuned models such as Med-PaLM and ChatDoctor. While these advancements are impressive, the dependence of AI development on data volume and quality raises questions about the generalizability of these models. Regions with lower medical research output risk bias and misrepresentation in AI-generated content, especially when used to assist clinical practice. Upon testing of a prompt concerning the isoniazid dosing of Filipinos versus other ethnic and racial groups, responses from GPT-4, GPT-3, Bard and Claude resulted in 3 out of 4 outputs showing convincing but false content, with extended prompting illustrating how response hallucination happens in GAI models. To address this, model refinement techniques such as fine-tuning and prompt ensembles are suggested; however, refining AI models for local contextualization requires data availability, data quality and quality assurance frameworks. Clinicians and researchers in the Philippines and other underrepresented regions are called to initiate capacity-building efforts to prepare for AI in healthcare. Early efforts from all stakeholders are needed to prevent the exacerbation of health inequities, especially in the new clinical frontiers brought about by GAI.
Artificial Intelligence ; Bias ; Delivery of Health Care ; Philippines

Measurement bias (MB) has been described in causal structures but is still not entirely clear. In practice, the correctness of substitution estimate (SE) of effect is a prerequisite for causal inference, usually based on a bidirectionally non-differential misclassification between the measured exposure and the measured outcome. Based on a directed acyclic graph (DAG), this paper proposes a structure for the single-variable measure, where its MB is derived from the choice of an imperfect, "input/output device-like" measurement system. The MB of the SE is influenced both by the measurement system itself and by factors outside the measurement system: while the independence or dependence mechanism of the measurement system still ensures that the MB of the SE is bidirectionally non-differential; however, the misclassification can be bidirectionally non-differential, unidirectionally differential, or bidirectionally differential resulted from the factors outside the measurement system. In addition, reverse causality should be defined at the level of measurement, where measured exposures can influence measured outcomes and vice versa. Combined with temporal relationships, DAGs help elucidate MB's structures, mechanisms, and directionality.
Humans ; Confounding Factors, Epidemiologic ; Data Interpretation, Statistical ; Bias ; Causality

Controlling unmeasured confounders in non-randomized controlled studies is challenging. Negative control theory is based on the theoretical concept that the test result of negative controls must be negative. Setting appropriate negative control incorporates the specificity of association into population studies for the identification and control of unmeasured confounders. This paper explains the principles to control unmeasured confounders using negative control theory from a statistical perspective. A detailed introduction of derived methods based on negative control theory is also introduced, including adjusted standardized mortality ratio method, calibrating P-value method, generalized difference-in-difference model and double negative control method. The reasonable application of those derived methods is also comprehensively summarized based on representative case studies. Negative control is an important statistical design to identify, revise and control unmeasured confounders and a valuable method for comparative effectiveness research based on real-world data.
Humans ; Confounding Factors, Epidemiologic ; Research Design ; Comparative Effectiveness Research ; Bias

OBJECTIVE: To assess the methodological quality, report quality and evidence quality of the Meta-analysis and systematic reviews of acupuncture and moxibustion for children with cerebral palsy, aiming to provide decision-making basis for clinical treatment. METHODS: The systematic reviews and Meta-analysis of acupuncture and moxibustion for children with cerebral palsy were searched in CNKI, Wanfang, VIP, SinoMed, Cochrane Library, PubMed and EMbase. The retrieval time was from the database establishment to June 30th, 2022. AMSTAR 2 (a measurement tool to assess systematic reviews) was used to evaluate the methodological quality， and PRISMA (preferred reporting items for systematic reviews and Meta-analyses) was used to evaluate the report quality, and GRADE was used to evaluate the quality of evidence. RESULTS: A total of 14 systematic reviews were included, including 37 primary outcome indexes. According to AMSTAR 2 evaluation results, there were 4 low quality studies, 10 very low quality studies, and low scores on items 2, 4, 7, 10 and 16. PRISMA scores ranged from 15 to 25, and the main reporting problems reflected in structured abstracts, program and registration, retrieval, and funding sources, etc. According to the GRADE classification results, there were 3 high quality evidences, 7 medium quality evidences, 10 low quality evidences and 17 very low quality evidences. The main downgrading factors were limitations, imprecision and publication bias. CONCLUSION Acupuncture and moxibustion has a certain effect for cerebral palsy in children, but the quality of methodology, reporting and evidence in the included literature is poor, and the comparison of curative effect between different acupuncture and moxibustion methods is unclear.
Child ; Humans ; Acupuncture Therapy/methods* ; Cerebral Palsy/therapy* ; Moxibustion/methods* ; Publication Bias ; Research Report ; Systematic Reviews as Topic ; Meta-Analysis as Topic

OBJECTIVES: To evaluate the report quality, methodological quality and evidence quality of the systematic reviews and meta-analyses (SRs/MAs) of acupuncture for in vitro fertilization-embryo transfer (IVF-ET). METHODS: The SRs/MAs of acupuncture for IVF-ET were searched electronically from databases of CNKI, Wanfang, VIP, SinoMed, PubMed, Embase, Cochrane Library, from inception of each database to September 27th, 2022. Two reviewers independently screened the literature and extracted the data. Using PRISMA statement, the AMSTAR 2 scale and the GRADE system, the report quality, methodological quality and evidence quality of the included SRs/MAs were assessed. RESULTS: A total of 28 SRs/MAs were included, with PRISMA scores ranging from 8.5 points to 27 points. The problems of report quality focused on protocol and registration, retrieval, risk of bias in studies, additional analysis, limitations and funding. The methodological quality of included studies was generally low, reflecting on items 2, 3, 7, 10, 12 and 16. A total of 85 outcome indexes were included in the GRADE system for evidence grade evaluation. Most of the evidences were low or very low in quality. The reasons for the downgrade were related to study limitations, inconsistency, imprecision and publication bias. CONCLUSIONS Acupuncture therapy improves the outcomes of IVF-ET, but the methodological quality and evidence quality of related SRs/MAs are low. It is recommended to conduct more high-quality studies in the future to provide more reliable evidences.
Acupuncture Therapy/methods* ; Databases, Factual ; Embryo Transfer ; Fertilization in Vitro ; Publication Bias ; Systematic Reviews as Topic

This paper summaries the Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E), a tool for evaluating risk of bias about non-randomized studies of exposures (NRSE), and introduces the application of ROBINS-E in a published NRSE. According to the characteristics of NRSE, evaluation fields and signaling questions were designed in ROBINS-E to provide essential information about risk of bias for NRSE included in systematic reviews and GRADE. ROBINS-E is the tool in assessment of risk of bias in observational studies and quasi-randomized studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.
Bias ; Environmental Exposure ; Humans ; Systematic Reviews as Topic

Objective: To introduce and compare four analysis methods of multiple parallel mediation model, including pure regression method, method based on inverse probability weighting, extended natural effect model method and weight-based imputation strategies. Methods: For the multiple parallel mediation model, the simulation experiments of three scenarios were carried out to compare the performance of different methods in estimating direct and indirect effects in different situations. Dataset from UK Biobank was then analyzed by using the four methods. Results: The estimation biases of the regression method and the inverse probability weighting method were relatively small, followed by the extended natural effect model method, and the estimation results of the weight-based imputation strategies were quite different from the other three methods. Conclusions: Different multiple parallel mediation analysis methods have different application situations and their own advantages and disadvantages. The regression method is more suitable for continuous mediator, and the inverse probability weighting method is more suitable for binary mediator. The extended natural effect model method has better performances when the residuals of two parallel mediators are positively correlated and the correlation degree is small. The weight-based imputation strategies might not be appropriate for parallel mediation analysis. Therefore, appropriate methods should be selected according to the specific situation in practice.
Bias ; Computer Simulation ; Humans ; Mediation Analysis ; Models, Statistical ; Probability ; Regression Analysis ; Research Design