Expert Information Research Articles

The electronic health record as an interactional and epistemic resource: Insights from pediatric well-child visits.

Electronic health records (EHRs) have increasingly become integral to contemporary medical consultations, including pediatric care. This study aims at exploring the interactional use of the EHR during naturally occurring pediatric well-child visits, focusing specifically on how pediatricians and parents manage knowledge concerning infants' growth inscribed in the EHR. Conversation analysis is used to analyze 23 video-recorded Italian well-child visits involving two pediatricians and twenty-two families with children aged 0-18 months. The analysis focuses on the delicate activity of assessing infants' growth, a widespread parental concern. It illustrates how a no-problem assessment is collaboratively achieved through the interactional mobilization of the EHR. While parents draw upon their experiential knowledge to assess their child's "normality" (or not), pediatricians resort to expert knowledge inscribed in the EHR (e.g., growth percentiles and growth charts), thereby making the EHR a locally and institutionally relevant agent in the interaction. A hierarchy of types and sources of knowledge is presupposed and ratified by both parents and pediatricians in these visits. Expert information inscribed in the EHR is collaboratively built as the most authoritative voice to the detriment of parent-reported experiential knowledge. While acknowledging potential risks, leveraging the EHR can be a valuable interactional and epistemic resource for healthcare professionals working in pediatric care to a) soothe parental concerns regarding infants' development, and b) offer evidential support for their evaluations, thereby displaying professional accountability.

Avoiding harm or creating benefit? How a risk focus sidelines social considerations in early decisions for Australian infrastructure projects

ABSTRACT There is a growing need to maximise the social benefits achieved from public investment in infrastructure, particularly with the transition to net zero economies. Infrastructure projects around the world contractually define roles and responsibilities for project partners via Project Delivery Models (PDMs). PDMs can underpin social benefit realisation, but the processes used to select them are largely opaque. This paper explores how social considerations inform PDM selection and how this is facilitated by policy. We interviewed senior procurement professionals about how social benefits and risks are considered, and analysed auditing guidance documents to examine how the regulatory environment supports social considerations. We found that decisions are based on risk minimisation rather than benefit creation, but social risks are inadequately considered. This situation is linked to an entrenched gap in social expertise and inadequate information handover between different teams over project lifecycles, often resulting in an operational disconnect between project phases. This ‘compartmentalisation’ presents challenges for inclusion and transparency in decision-making. Current auditing processes provide little incentive for social benefit consideration and reinforce a risk focus. We offer important insights into this early project stage and distil five recommendations for improving social benefit creation from infrastructure investments, particularly in developed economies.

Podcasts in Bulgaria: An Alternative, Parallel or Flexible Approach to Changing the Media Ecosystem

Podcasts in Bulgaria have flourished and solidified their presence in the second and third decades of the 21st century across various dimensions. Firstly, they serve as alternative sources of expert information. Secondly, they offer a parallel platform for disseminating information alongside traditional media genres and formats. Thirdly, they contribute to the development of a flexible media market, accommodating both public and private media entities, as well as individual, corporate, institutional, or organizational channels. This analysis focuses on podcasts in Bulgaria spanning from 2021 to 2023, produced and distributed by diverse media outlets, individuals, and organizations. The hypothesis posits that podcasts function as both media and businesses, serving as communication channels and a model that blends information dissemination with shared experiences. They represent a product resulting from media, digital, and communicative literacy. The methodology employed adopts an interdisciplinary approach, encompassing media, genre, and discourse analysis. The conclusions drawn are based on a comprehensive study, although not claiming to be exhaustive. It is assumed that podcasts in Bulgaria offer a versatile means of positioning themselves alongside traditional media, thereby contributing to the creative industry and the media market simultaneously. Keywords: podcast, media market, media ecosystem, media genre, creative industry, media content.

Business Strategy for Hospital A (RSIA) Denpasar City with Business Model Canvas (BMC)

The role of RSIA is less to provide real benefits to the community and has the potential to go bankrupt if there is no improvement in management. The indicators can be seen from the decline in visitation rates by 10% in 2022 and 5% in 2023, high employee turnover, hospital image through Google Reviews resulting in low average scores, and complaints on various services provided by the hospital. This study aims to map Hospital A's business model using the business model canvas so that the strengths, weaknesses, opportunities, and threats that could potentially harm the hospital can be identified. Data collection was conducted using interviews with triangulation techniques to key informants, comparison informants, and expert informants. The research approach is positivism or qualitative, which emphasizes meaning. The findings obtained are that Hospital A's market segmentation is the lower middle class with the application of vertical growth; in the value propositions block there are shortcomings such as no new services and technology, lack of communication, poor service, interior and exterior design using and needing renewal, and inadequate facilities, but has advantages in terms of price and cleanliness; in the channel block, strategic location but does not have good visibility; in the customer relationship block, there is different service treatment between room classes; hospital revenue streams from usage fees and brokerage fees; physical resources of employees are inadequate with untimely salary payments; in the key partnership block, the hospital collaborates with midwives and clinics.

Information system for assessing reliability a decoder remote piloting station

Under conditions of armed aggression by Russia against Ukraine, which escalated into a full-scale military invasion on February 24, 2022, national security is facing the greatest threat, as it is about destroying Ukrainian statehood. As experience in preparing and conducting intelligence operations by the Armed Forces of Ukraine during the large-scale invasion by the armed forces of the Russian Federation into your country has shown, using class I unmanned aerial vehicles has proven their effectiveness, which has raised issues of improving intelligence gathering with their help. A key role in the operations of a first-class unmanned aerial vehicle is played by a remote pilot station decoder. Quality operation of airborne reconnaissance assets depends on its efficiency. The article considers main reliability indicators of a human-machine system operator. The analysis results of the existing methods for controlling the humanmachine system operator, which shows that indicators of his performance are not measured, but are determined by monitoring his functional state with further evaluation of performance indicators. Based on results of the analysis, it was found that using fuzzy set theory and convolution according to a nonlinear trade-off scheme in tasks of evaluating efficiency of human-machine systems makes it possible to identify reliability status of a remote piloting station decoder in real time, taking into account human performance and equipment efficiency. The article develops an information system for assessing the reliability of a remote piloting station decoder based on a generalized mathematical model in the form of a multilevel hierarchical tree of logical inference that reflects classification of indicators and intermediate estimates. The roots of the trees correspond to evaluation results, and tops correspond to reliability indicators of a remote piloting point. This process is based on mathematical apparatus of fuzzy logic and is carried out using available expert information in form of logical rules "IF - THEN" that link fuzzy terms of remote piloting point reliability indicators and the assessment result. Reliability of the obtained data is achieved by forming a fuzzy knowledge base using fuzzy terms that take into account specifics of process obtaining intelligence information at remote piloting points.

Implementation of business intelligence considering the role of information systems integration and enterprise resource planning

The aim of this research is the implementation of business intelligence, considering the role of information systems integration and enterprise resource planning on it. According to the objectives of this research, it is practical research, and the work process is based on descriptive, survey, and exploratory research. The study population of the qualitative part of this research includes experts (information technology and communications managers from Tehran Stock Exchange companies and professors). Twenty-five interviews were performed by a non-random and targeted method, until a theoretical saturation of the questionnaire was reached. The study population of the quantitative part includes all the personnel of 167 companies where business intelligence is implemented in their organizations. Two questionnaires were used for gathering the required data for evaluating and measuring the studied variables. Validity is confirmed by experts' opinions. Finally, seven issues of structural factors, behavioral factors, environmental factors, processes, output, consequence, and the effect and their subcomponents are identified as effective items in business intelligence success. Regarding the outcome, importance, and the model coefficient of the main factors, the processes have the most impact on the results. So, organizations should pay more attention to their working processes to improve business intelligence success. Overall, the results regarding the effective factors on successful implementation of business intelligence reflect best practices of firms that have successfully implemented BI systems and provide insights for BI stakeholders that may increase the chances of successful implementation. This study shows the value of integrated information systems and enterprise resource planning in the success of business intelligence implementation. The findings of this study provide an opportunity for other researchers to study a cost optimization approach. It also suggests it is time to investigate suitable approaches by a focus on the appropriate factors for successful business intelligence implementation and by comparative analysis of ways to boost business intelligence preparation. This study also found further factors, in addition to enterprise resource planning and information systems integration, that can be used to select and rank more factors of business intelligence implementation. Furthermore, a model that examines the integration of business intelligence and the other information systems in the company is proposed for future research.

The role of the opponent's head in perception of kick target location in martial arts.

Athletes in Martial Arts must anticipate the target of their opponent's kick or strike to avoid contact. Findings suggest that features, e.g., head and face may play a greater role in predicting opponent action intent compared to global movement information, however little research has explored the role of the head in action anticipation. The aim of this study was to examine the role of the head in predicting the target of a kicking action in martial arts. N = 76 volunteer participants (n = 32 athletes > 5 years of experience, n = 36 non-athletes with no experience) were asked to watch a series of video clips depicting various kicking techniques with differing levels of spatial occlusion of the head. These clips were also temporally occluded compelling participants to predict the landing target of each kick (i.e., head or chest). The hypothesis of the current study is that athletes would be more accurate than non-athletes, but there was no significant effect of expertise on accuracy. Both athletes and non-athletes performed well above chance level performance. Head occlusion did not significantly influence performance and did not interact with expertise, suggesting head and face information did not play a role in predicting opponent action intent. Across participants the landing target of the roundhouse kick was identified with greater accuracy than the front or the back kick. Additionally, participants identified kicks from the rear leg with greater accuracy than the front leg. These findings have significant implications for combat sports where athletes are required to anticipate the action intent of their opponent to formulate an effective defensive response.

Análisis de riesgo de un sistema nogalero de la provincia de Catamarca

The economic risk faced by a family walnut system that operates three hectares and has begun a process of technological reconversion consisting of the replacement of varieties and greater added value in the product sold, is quantified. The system is characterized in its structural and functional components (productive resources that it has and technology that it applies) and then, the economic results are estimated for the current values ””of price, yield and percentages of pulp and shell nuts sold. These variables are then randomized through triangular distributions, whose parameters (maximum, modal and minimum) are obtained from expert informants and market data. The distribution of results obtained (income in $/year) is contrasted with different points or critical levels and the frequency and intensity with which they are not covered is measured. From there, the risk typology of the system is defined.

A hybrid linear Diophantine fuzzy group decision approach for enterprise digital transformation maturity evaluation

PurposeThe main goal of this paper is to present a synthetic multiple criteria group decision-making (MCGDM) methodology for assessing the enterprise digital maturity with linear Diophantine fuzzy (LDF) setting.Design/methodology/approachThis paper utilizes the presented LDF generalized Dombi operator to aggregate assessment information of experts. The developed combined weight model through merging the rank sum (RS) model and symmetry point of criterion (SPC) method is used to ascertain the comprehensive importance of criterion. The evaluation based on distance from average solution (EDAS) approach based upon regret theory (RT) is presented to achieve the sorting of candidate enterprises.FindingsFirstly, the proposed method has strong stability. Secondly, the proposed method takes into consideration the psychological behavior of experts during the decision-making process which further enhances the rationality of the decision results. Finally, the proposed method integrates expert and criterion weight determination models which provides a practical evaluation framework for assessing the digital maturity of enterprises. The research outcomes confirm that the proposed approach fails to resolve the decision problems with unknown weight information flexibly, but also reflect the psychological behavior of expert in decision process. The presented weight approach also provides a rational algorithm to ascertain the weight more accurate.Originality/valueA composite LDF group decision-making approach is presented by aggregating the proposed generalized Dombi operator, combined weight model and the EDAS model, which make the outcome more reasonable. Sensitivity analysis and comparison study are conducted to reflect the superiority of the proposed approach.

Automatic Denoising of Seismograms using Fingerprints: Algorithms, Properties, Limitations

This article describes the new technique for automatically preparing a noisy seismic record for further analysis using expert information systems. The technique is based on seismogram fingerprints, which, due to their concise but informative pattern, allow the development of a reliable algorithm for finding important noise characteristics. The search for the optimal cutoff frequency for a high-pass filter is especially important under conditions of partial overlap of the signal and noise spectra at a high intensity of the latter. It is precisely this difficult case that this study aims to address. The article analyzes the developed methodology on the example of several hundred registrations of regional earthquakes and explosions. The analysis showed that reliable results can be achieved in more than 90% of cases. In addition to all the problems and limitations of the method, which are an extension of its capabilities, are mentioned. Appendix to the article contains detailed description of the algorithm underlying the method.

Pathways to persuasion: The impact of social media influencers’ self-disclosure and follower size on persuasion outcomes

A 2 (influencer type: nano with 5000 followers vs mega with 1.1 million followers) × 2 (influencer self-disclosure: low depth vs high depth) between-subjects online experiment tested the different pathways social media influencers take to achieve persuasion outcomes in one model. Participants viewed an Instagram influencer’s profile page with either 5000 or 1.1 million followers, and a post from the influencer with either low or high depth self-disclosure. Participants then answered questions regarding social attraction, parasocial relationship, perceived expertise, persuasion outcomes, covariates, and demographic information. Results showed three serial pathways facilitate persuasion: two pathways through self-disclosure depth by way of social attraction and parasocial relationship development and another pathway through follower size by way of perceived expertise. This research advances understanding of the influencing process by using theory and empirical precedent to derive and test an integrated model of the influencing process.

Tinjauan Yuridis Pembuktian Elektronik dalam Perkara Tindak Pidana Penipuan Online

The purpose of this writing is to be able to review and analyze electronic information evidence of criminal acts of online fraud from the perspective of criminal procedural law in Indonesia. The method used in this writing is to use a normative juridical method approach. The problems discussed in this paper are how electronic evidence is used to prove criminal acts of fraud through online media and how electronic evidence is used for online fraud crimes based on Law no. 16 of 2019 concerning Amendments to Law no. 11 of 2008 concerning Information and electronic transactions, therefore the judge's task in his authority as a law enforcer is to interpret or interpret electronic evidence as an extension of documentary evidence or instructions which are valid evidence according to Article 184 of the Criminal Procedure Code, as regulated in Article 5 paragraphs (1) and (2) Law no. 16 of 2019 concerning Amendments to Law Number 11 of 2008 concerning Information and Electronic Transactions which regulates evidence, namely electronic information, electronic documents and printouts, as valid evidence and the expansion of evidence in criminal procedural law relating to acts criminal penalties regulated in the electronic information and transactions law. Apart from that, to assist in interpreting and interpreting electronic evidence, judges need expert testimony in the evidentiary process. So, electronic information evidence is an extension of expert testimony and guidance evidence in accordance with Article 184 of the Criminal Procedure Code, expansion of legal evidence based on criminal procedural law. Furthermore, in Article 5 paragraph (3) of Law no. 16 of 2019 concerning Amendments to Law no. 11 of 2008 concerning Information and Electronic Transactions, through a negative legal proof system, that proof is not based only on legal regulations, but also on the judge's belief, so the judge also needs expert information to find out the real facts regarding electronic evidence, p. This relates to article 1 points 1 and 4 of Law no. 16 of 2019 concerning Amendments to Law number 11 of 2008 concerning Information and Electronic Transactions.

From attraction to monetization: How do knowledge influencers trigger users’ willingness to subscribe to knowledge products?

PurposeThis study examines the phenomenon of “knowledge influencers,” individuals who convey expert information to non-expert audiences and attract users to subscribe to their self-created knowledge products. It seeks to address two research questions: (1) What are the antecedents that promote perceived attractiveness of knowledge influencers? and (2) How does perceived attractiveness of knowledge influencers affect users’ willingness to subscribe to knowledge products?Design/methodology/approachGuided by self-branding theory, which suggests that individuals strategically shape user perceptions and interactions to create an appealing image, the study employed a sequential mixed-methods approach. Qualitative interviews were conducted with knowledge influencers and their subscribers, followed by a quantitative survey of users with knowledge subscription experience to validate the findings.FindingsResults suggested that knowledge influencers could enhance their attractiveness to users by promoting perceived professionalism, perceived familiarity, and perceived connectedness. Perceived attractiveness of knowledge influencers could directly affect users’ willingness to subscribe or indirectly through the role of users’ attachment to knowledge influencers.Practical implicationsBy understanding the factors driving users’ subscription intentions, platform operators and influencers can refine their strategies to enhance user attachment and optimize monetization opportunities through personalized interactions and tailored content offerings.Originality/valueThis study contributes to the literature by elucidating the relationship between perceived attractiveness and users’ subscription intentions, offering new insights into the dynamics of online knowledge consumption.

Volunteer mobilisation and old-age support in urban China

In response to demographic and socio-economic shifts in China’s transitional economy, influenced by neo-liberalism, the state has actively encouraged greater volunteer participation in supporting older people in urban China. To understand the effectiveness of volunteer mobilisation for old-age support, 39 qualitative semi-structured interviews were conducted with older people, supplemented by the views of expert informants including NGO operators, Residents Committee officers, academics and a government official in Beijing and Guangzhou. The findings highlight that older people value the emotional support provided by volunteers. However, policymakers must address challenges related to mobilising volunteers for old-age support. As the state emphasises increased volunteer use to meet the growing needs of older people amid ongoing socio-economic changes, sustaining the long-standing practice of mutual help becomes more difficult. To address this, efforts should focus on establishing a local platform to coordinate volunteer resources, strengthening existing formal community support services with volunteer services serving as a supplementary source and finding ways to sustain young retirees’ involvement as community volunteers, which represents valuable social capital.

Education Communicator, Bersatu-Manggurebe Moves Forward After the COVID-19 Pandemic in Maluku Province

This study aims to analyze how the role of teachers, united-manggurebe progresses in implementing the “triangle of support” learning system development model in the post-Covid-19 pandemic. This research uses a qualitative approach with an interactive analysis model combination analysis technique. The research targets are the education office, elementary school principals, junior and senior high school teachers, parents, and students. Primary data, namely the main data in the study, were collected through in-depth interviews with expert informants and casual informants, while secondary data were obtained through reviewed documents and various literature from related sources. The results showed that the teachers carried out their service duties with the philosophy of “Bersatu, Manggurebe Maju”, post-pandemic with all the limitations of supporting facilities for the distance learning process, believed to be the dynamics of moving forward to achieve the goal that how important the learning process is, in an effort to educate the lives of the nation’s children in Maluku. Keywords: teacher’s role, Bersatu-Manggurebe Maju, post Covid-19 pandemic

Understanding faculty perspectives on health equity curriculum implementation in graduate medical education: a qualitative study

BackgroundDespite increased awareness of persistent healthcare disparities, integrating health equity education into medical residency curricula needs urgent expansion. The Accreditation Council for Graduate Medical Education (ACGME) mandates addressing healthcare disparities and social determinants of health, but implementation remains insufficient due to pervasive barriers.ObjectiveTo explore residency faculty perspectives at one institution surrounding implementing a health equity curriculum within their programs.MethodsBetween November 2022 and April 2023, qualitative interviews and focus groups were conducted with residency faculty participants (n = 13) from a large academic medical institution. Participants were recruited via an internal email list directory of program directors. Semi-structured sessions explored faculty perspectives on health equity curriculum implementation. Data analysis utilized template analysis and thematic coding.ResultsFaculty perceived barriers included limited time for teaching health equity, challenges in prioritizing health equity content within the curriculum, lack of formal training and expertise, discomfort in leading discussions, and institutional barriers such as resource allocation and lack of buy-in.ConclusionsFindings underscored the need for institutionally supported faculty development and protected learning time for health equity education. Despite participant recruitment and representation limitations, the study provides valuable insights for addressing curricular challenges. This study highlights critical areas for improving health equity curriculum implementation in graduate medical education. Addressing these faculty barriers can enhance resident competency in identifying and addressing healthcare disparities.Trial registrationThe study received approval from the Thomas Jefferson Institutional Review Board (IRB #22E.762).

EVALUATION OF THE INVESTMENT CLIMATE BASED ON FUZZY LOGIC

The subject of the study is the investment climate of the country, region and investment attractiveness of the enterprise. The article is aimed at substantiating a fuzzy logical model for assessing the investment climate of a country, region and investment attractiveness of an enterprise under the influence of three groups of factors: economic, organizational and psychological. The hypothesis of the study is that it is possible to define the investment climate (IC) and make decisions on foreign direct investment (FDI) based on data on indicators of influence factors, even if these indicators are not clearly quantified. The division of all influence factors into three groups: economic, organizational and psychological, and the definition of linguistic assessments for those factors that do not have a natural quantitative scale, allows taking into account the expert assessment of those aspects of the investment climate that are not assessed by statistical data and cannot be expressed quantitatively, but only with the help of descriptive words based on a sense of the situation. The developed model allows determining the state of the investment climate or attractiveness under the influence of a set of factors that the user determines, depending on the country, territory, enterprise and the availability of statistical and expert information. A review of previous studies shows that the development of models based on the theory of fuzzy logic, as opposed to regression analysis, allows not only to use a larger number of indicators, but also to take into account the so-called qualitative indicators that were previously not taken into account due to the impossibility of their quantitative measurement. The objective of the study is to build a model based on fuzzy modelling, which is the method of this research. The results of the study show that the use of the obtained model can help determine the investment climate based on the analysis of factors. Practical implications – obtaining a built-in model for assessing the investment climate for making investment decisions. Value/originality of the study: the developed model, unlike similar ones, is flexible, i.e. it can include any number of factors and can be used by specialists of different levels, from civil servants to entrepreneurs. The model also allows for the inclusion of any factors that the researcher deems necessary, as they can be assessed on any scale.

The paradoxical surplus of healthcare workers in Africa: the need for research and policy engagement

Abstract Background In many countries in Africa, there is a paradoxical surplus of under and unemployed nurses, midwives, physicians and pharmacists which exists amidst a shortage of staff within the formal health system. By 2030, the World Health Organisation Africa Region may find itself with a shortage of 6.1 million healthcare workers (HCWs) alongside 700,000 un- or underemployed health staff. This study aims to bring the nature and consequences of an existing paradoxical surplus of HCWs in low income countries into the HCW migration debate and to explore novel solutions. Methods The study draws on a rapid review of the literature and deeper insights from expert information, using examples from Uganda, Kenya and Niger. Results In Niger, between 2010-2014, 55% of health graduates were unable to find permanent work in the sector leaving 15 000 HCWs unemployed or in precarious jobs. In Sudan, an 8-fold increase of the number of places at medical colleges (between 1996-2012) was not accompanied by a commensurate investment in physician positions leading to increased unemployment and brain drain. In Kenya, in 2021, 27243 HCWs were un or under-employed. In Uganda, 20590 nurses and midwives were reported as unemployed in 2023. Despite this, the emphasis in policy debates about the healthcare workforce crisis in most national and global levels is on staff shortage and the need to train more HCWs. In contrast, an existing surplus HCWs and their association with patterns of migration are largely unknown. Little time is given over to understand the economic, political and social factors that have driven their emergence and the governance challenges and potential interventions to improve employment rates. Conclusions The results highlight the complexity of migration, labour market conditions and health systems, in particular in low income countries in Africa. Both qualitative and quantitative data is necessary for policy makers to find effective solutions to the problem.

Forced displacement and the healthcare workforce crisis: Venezuelan healthcare workers in Peru

Abstract Background The migration of healthcare workforces tends to be economically based benefiting high income countries, while draining lower-income countries of workers and skills. However, national instability or civil conflict may also have the effect of forcing out health workers. Few articles focus on the experiences of these types of migrants. This study aims to close a gap in the migration debate by exploring the capacity of integrating displaced healthcare workers in middle-to-low resourced health systems, using Peru as a case study. Methods The study draws on a policy analysis, statistical data and expert information from Peru. Results Peru has become the second largest Latin American destination for Venezuelan forced displaced migrants, a number of which are healthcare workers. While the exact numbers of these workers is unknown, it is estimated that 4,000 and 3,000 physicians and about 2,500 nurses and health technicians from Venezuela reside in Peru. These workers find entry into the heath system difficult due to bureaucratic and costly registration and qualification validation procedures. However, during Covid-19 the conditions were relaxed, and a large number of these workers entered the healthcare workforce. They were primarily physicians and worked in urban medical facilities, though there was some distribution across the country’s departments. This avenue to the healthcare workforce allowed the mobilisation of dormant health skills and assisted to lift density numbers. Conclusions Peru’s experiences bring into focus the potential benefits of mobilising new resources through integrating displaced healthcare worker migrants. It is too early to assess the sustainability of these policies on the country’s healthcare workforce and its Universal Health Coverage goals, yet there seem to be some positive experiences. Speakers/Panelists Tomas Zapata WHO/Europe, Copenhagen, Denmark

The Effectiveness of CATIN Class on Pregnancy Readiness of Prospective Brides in The Working Area of Citangkil 2 Health Center, Cilegon City

Prospective brides and grooms are a strategic target group in efforts to improve their health before pregnancy. Before the wedding, many prospective brides and grooms do not have enough knowledge and information about reproductive health in a family, so that after marriage pregnancies are often not planned well and are not supported by optimal health status. The number of marriages in Indonesia in 2023 will reach 1.58 million and 68,185 will come from Banten Province. Maternal mortality still reaches 127 cases of maternal death per 100,000 births and the incidence of anemia in pregnant women is 9.2% in 2023. The aim of this research is to determine the effectiveness of prospective brides and grooms or CATIN (Calon Pengantin) classes on the pregnancy readiness of prospective brides in the Industrial Area of ​​the Citangkil 2 Community Health Center, Cilegon City. Research methods is qualitative research. Population in this study were prospective brides and grooms who registered at KUA in July 2024 in the Citangkil 2 Health Center Working Area, Cilegon City, totaling 12 informants, consisting of 10 Catins and 2 expert informants from KUA and Health officers. There is an influence of information sources related to the socialization of the catin class program from KUA officers and Community Health Center Health Workers on the pregnancy readiness of the prospective bride and groom and knowing the attitude of the prospective bride and groom, the attitude of the KUA officers and the attitudes of health workers who take part in the catin class. There is a change in attitude after participating in the catin class service.