Manual operacional de tuberculose da OMS. Módulo 4: Tratamento. Tratamento da tuberculose sensível

O manual operacional fornece informações práticas e ferramentas que complementam as recomendações nas diretrizes com base nas melhores práticas e conhecimento do campo, como microbiologia, gestão clínica e programática. As estratégias descritas no manual operacional são baseadas nas últimas recomendações da OMS, que foram formuladas após reuniões do Grupo de Desenvolvimento de Diretrizes usando a abordagem GRADE. O manual operacional fornece informações sobre diferentes aspectos do tratamento e cuidados da TB sensível. Em particular, o manual fornece orientações práticas sobre a implementação da nova recomendação sobre o uso de regimes mais curtos de 4 meses para o tratamento e cuidados da TB sensível. Além disso, o manual inclui considerações-chave para a implementação do regime padrão de 6 meses, considerado como opção alternativa para o tratamento da tuberculose pulmonar sensível. Estas orientações práticas incluem informações importantes sobre dosagens de medicamentos, interações medicamentosas, peculiaridades do tratamento em situações especiais, opções para o tratamento de pacientes com TB extrapulmonar e monitoramento da resposta ao tratamento junto com as definições atualizadas de resultados do tratamento.

Women's Preventive Services Utilization in Illinois in the Aftermath of the ACA and the COVID-19 Pandemic.

This study explores the association between health system changes over the last decade and women's preventive care utilization in Illinois. A cross-sectional analysis using Illinois Behavioral Risk Factor Surveillance System (BRFSS) data from 2012-2020 among women aged 21-75 (n=21,258) examined well-woman visit (WWV) receipt and breast and cervical cancer screening overall and over several time periods. There was an increase in the prevalence of receiving a WWV for Illinois women overall from 2012-2020. However, the overall adjusted prevalence difference was only significant for the 2020 versus 2015-2019 comparison and not for 2015-2019 versus 2012-2014. The COVID-19 pandemic was not associated with a decrease in the prevalence of mammogram use but was manifest for cervical cancer screening, particularly for Black women. Finally, those reporting having a WWV in the past year had a significantly higher prevalence of being up to date with screening compared with those not reporting a WWV.

[The departmental council, a key player in prevention in the region]. / Le conseil départemental, un acteur clé de la prévention sur le territoire.

The decentralization laws of 1982, known as the Defferre law, created the local civil service, giving local authorities powers in areas such as social action and healthcare. The department of Seine-Saint-Denis is a mixed territory with worrying health and social characteristics. To meet these challenges, the Seine-Saint-Denis departmental council has adopted a strong prevention policy. As part of multi-disciplinary teams, state-qualified nurses play a central role in implementing these various preventive missions.

Patient preferences for breast cancer screening: a systematic review update to inform recommendations by the Canadian Task Force on Preventive Health Care.

BACKGROUND: Different guideline panels, and individuals, may make different decisions based in part on their preferences. Preferences for or against an intervention are viewed as a consequence of the relative importance people place on the expected or experienced health outcomes it incurs. These findings can then be considered as patient input when balancing effect estimates on benefits and harms reported by empirical evidence on the clinical effectiveness of screening programs. This systematic review update examined the relative importance placed by patients on the potential benefits and harms of mammography-based breast cancer screening to inform an update to the 2018 Canadian Task Force on Preventive Health Care's guideline on screening. METHODS: We screened all articles from our previous review (search December 2017) and updated our searches to June 19, 2023 in MEDLINE, PsycINFO, and CINAHL. We also screened grey literature, submissions by stakeholders, and reference lists. The target population was cisgender women and other adults assigned female at birth (including transgender men and nonbinary persons) aged ≥ 35 years and at average or moderately increased risk for breast cancer. Studies of patients with breast cancer were eligible for health-state utility data for relevant outcomes. We sought three types of data, directly through (i) disutilities of screening and curative treatment health states (measuring the impact of the outcome on one's health-related quality of life; utilities measured on a scale of 0 [death] to 1 [perfect health]), and (ii) other preference-based data, such as outcome trade-offs, and indirectly through (iii) the relative importance of benefits versus harms inferred from attitudes, intentions, and behaviors towards screening among patients provided with estimates of the magnitudes of benefit(s) and harms(s). For screening, we used machine learning as one of the reviewers after at least 50% of studies had been reviewed in duplicate by humans; full-text selection used independent review by two humans. Data extraction and risk of bias assessments used a single reviewer with verification. Our main analysis for utilities used data from utility-based health-related quality of life tools (e.g., EQ-5D) in patients; a disutility value of about 0.04 can be considered a minimally important value for the Canadian public. When suitable, we pooled utilities and explored heterogeneity. Disutilities were calculated for screening health states and between different treatment states. Non-utility data were grouped into categories, based on outcomes compared (e.g. for trade-off data), participant age, and our judgements of the net benefit of screening portrayed by the studies. Thereafter, we compared and contrasted findings while considering sample sizes, risk of bias, subgroup findings and data on knowledge scores, and created summary statements for each data set. Certainty assessments followed GRADE guidance for patient preferences and used consensus among at least two reviewers. FINDINGS: Eighty-two studies (38 on utilities) were included. The estimated disutilities were 0.07 for a positive screening result (moderate certainty), 0.03-0.04 for a false positive (FP; "additional testing" resolved as negative for cancer) (low certainty), and 0.08 for untreated screen-detected cancer (moderate certainty) or (low certainty) an interval cancer. At ≤12 months, disutilities of mastectomy (vs. breast-conserving therapy), chemotherapy (vs. none) (low certainty), and radiation therapy (vs. none) (moderate certainty) were 0.02-0.03, 0.02-0.04, and little-to-none, respectively, though in each case findings were somewhat limited in their applicability. Over the longer term, there was moderate certainty for little-to-no disutility from mastectomy versus breast-conserving surgery/lumpectomy with radiation and from radiation. There was moderate certainty that a majority (>50%) and possibly a large majority (>75%) of women probably accept up to six cases of overdiagnosis to prevent one breast-cancer death; there was some uncertainty because of an indication that overdiagnosis was not fully understood by participants in some cases. Low certainty evidence suggested that a large majority may accept that screening may reduce breast-cancer but not all-cause mortality, at least when presented with relatively high rates of breast-cancer mortality reductions (n = 2; 2 and 5 fewer per 1000 screened), and at least a majority accept that to prevent one breast-cancer death at least a few hundred patients will receive a FP result and 10-15 will have a FP resolved through biopsy. An upper limit for an acceptable number of FPs was not evaluated. When using data from studies assessing attitudes, intentions, and screening behaviors, across all age groups but most evident for women in their 40s, preferences reduced as the net benefit presented by study authors decreased in magnitude. In a relatively low net-benefit scenario, a majority of patients in their 40s may not weigh the benefits as greater than the harms from screening whereas for women in their 50s a large majority may prefer screening (low certainty evidence for both ages). There was moderate certainty that a large majority of women 50 years of age and 50 to 69 years of age, who have usually experienced screening, weigh the benefits as greater than the harms from screening in a high net-benefit scenario. A large majority of patients aged 70-71 years who have recently screened probably think the benefits outweigh the harms of continuing to screen. A majority of women in their mid-70s to early 80s may prefer to continue screening. CONCLUSIONS: Evidence across a range of data sources on how informed patients value the potential outcomes from breast-cancer screening will be useful during decision-making for recommendations. The evidence suggests that all of the outcomes examined have importance to women of any age, that there is at least some and possibly substantial (among those in their 40s) variability across and within age groups about the acceptable magnitude of effects across outcomes, and that provision of easily understandable information on the likelihood of the outcomes may be necessary to enable informed decision making. Although studies came from a wide range of countries, there were limited data from Canada and about whether findings applied well across an ethnographically and socioeconomically diverse population. SYSTEMATIC REVIEW REGISTRATION: Protocol available at Open Science Framework https://osf.io/xngsu/ .

[Impact of a program encouraging prevention in primary care on a daily and opportunistic basis]. / Impact d'un programme encourageant la prévention en soins primaires au quotidien et de façon opportuniste.

In France, clinical preventive practices are still underdeveloped and formalized, notably due to a lack of guidelines, despite the fact that a proactive and systematic prevention and health promotion strategy involving all healthcare professionals seems essential. The P3C program aims to encourage preventive clinical practices among healthcare professionals, and thus contribute to the emergence of a common culture of prevention.

[Joining forces for prevention: a public health challenge?] / S'unir pour prévenir, un enjeu de santé publique ?

In recent years, and particularly since the 2017 national health strategy, prevention has become one of the priorities in the French healthcare system. It's important to understand why this theme has emerged to the point of changing the title of the Ministry of Health, which is now called the Ministry of Health and Prevention. It is also essential to see how the entire healthcare system, and above all the care system, can mobilize to develop prevention in our country, and thus enable our fellow citizens to live as long as possible in good health.

Effect of GP visits in the compliance of preventive services: a cross-sectional study in Europe.

BACKGROUND: Performing cardiovascular and cancer screenings in target populations can reduce mortality. Visiting a General Practitioner (GP) once a year is related to an increased likelihood of preventive care. The aim of this study was to analyse the influence of visiting a GP in the last year on the delivery of preventive services based on sex and household income. METHODS: Cross-sectional study using data collected from the European Health Interview Survey 2013-2015 of individuals aged 40-74 years from 29 European countries. The variables included: sociodemographic factors (age, sex, and household income (HHI) quintiles [HHI 1: lowest income, HHI 5: more affluent]), lifestyle factors, comorbidities, and preventive care services (cardiometabolic, influenza vaccination, and cancer screening). Descriptive statistics, bivariate analyses and multilevel models (level 1: citizen, level 2: country) were performed. RESULTS: 242,212 subjects were included, 53.7% were female. The proportion of subjects who received any cardiometabolic screening (92.4%) was greater than cancer screening (colorectal cancer: 44.1%, gynaecologic cancer: 40.0%) and influenza vaccination. Individuals who visited a GP in the last year were more prone to receive preventive care services (cardiometabolic screening: adjusted OR (aOR): 7.78, 95% CI: 7.43-8.15; colorectal screening aOR: 1.87, 95% CI: 1.80-1.95; mammography aOR: 1.76, 95% CI: 1.69-1.83 and Pap smear test: aOR: 1.89, 95% CI:1.85-1.94). Among those who visited a GP in the last year, the highest ratios of cardiometabolic screening and cancer screening benefited those who were more affluent. Women underwent more blood pressure measurements than men regardless of the HHI. Men were more likely to undergo influenza vaccination than women regardless of the HHI. The highest differences between countries were observed for influenza vaccination, with a median odds ratio (MOR) of 6.36 (under 65 years with comorbidities) and 4.30 (over 65 years with comorbidities), followed by colorectal cancer screening with an MOR of 2.26. CONCLUSIONS: Greater adherence to preventive services was linked to individuals who had visited a GP at least once in the past year. Disparities were evident among those with lower household incomes who visited a GP. The most significant variability among countries was observed in influenza vaccination and colorectal cancer screening.

Unpacking Technical Assistance (TA) Strategies Within a State-Level Prevention Support System: A Mixed-Method Study in Determining Types and Amount of TA.

The research-practice gap between evidence-based intervention efficacy and its uptake in real-world contexts remains a central challenge for prevention and implementation science. Providing technical assistance (TA) is considered a crucial support mechanism that can help narrow the gap. However, empirical measurement of TA strategies and their variation is often lacking. The current study unpacks the black box of TA, highlighting different TA strategies, amounts, and their relation to intervention characteristics. First, we qualitatively categorized interactions between TA providers and implementers. Second, we explored how characteristics of implementing organizations and the intervention related to variations in the amount of TA delivered. Using data spanning six years, we analyzed over 10,000 encounters between TA providers and implementers. Content analysis yielded four distinct strategies: Consultation (27.2%), Coordination Logistics (24.5%), Monitoring (16.5%), and Resource Delivery (28.2%). Organizations with prior experience required less monitoring and resource delivery. Additionally, characteristics of the intervention were significantly associated with the amount of consultation, monitoring, coordination logistics, and resource delivery provided. The specific features of the intervention showed significant variation in their relation to TA strategies. These findings provide initial insights into the implications of intervention characteristics in determining how much of which TA strategies are needed to support implementations in real-world settings.

Preventive health measures in small and medium-sized enterprises: A scoping review on implementation strategies.

OBJECTIVE: To describe implementation strategies for preventive health measures in SMEs and the effectiveness of the strategies on implementation outcomes. METHODS: A literature search was performed in multiple electronic databases. Studies published between 2000 and 2021 that evaluated the implementation of preventive health measures in SMEs were included. Classification of implementation strategies was based on two complementary classification systems. RESULTS: Nineteen studies, of which 5 RCTs were included. Eighteen distinct implementation strategies were reported. All studies applied a combination of implementation strategies, and nearly all reported a positive effect on one or more implementation outcomes: sustainability, acceptability, feasibility, penetration, fidelity, adoption, and appropriateness. CONCLUSIONS: Overall, a positive effect of combined implementation strategies on the implementation outcome(s) was found. The 'distribution of educational materials' and 'provide ongoing consultation' combined show positive effects on sustainability.

Consumer and community involvement in preventive health: current insights and considerations for future best practice.

Consumer and community involvement (CCI) in preventive research and health initiatives is not only encouraged but is expected within a rapidly evolving landscape across health policy, practice and research. Here, we summarise the fundamental principles of CCI, as well as outline the barriers and current developments in working towards best practices at organisational and systems levels. CCI stands at a critical juncture. Best practice emphasises meaningful partnerships with consumers and communities to deliver impactful research and prevention activities, yet complex challenges and systematic barriers remain. We need further evidence to demonstrate both 'what' and 'how' CCI should be best implemented in these settings. We present key considerations for researchers, organisations and systems to catalyse the transition of CCI from mere recognition of its importance to pragmatic and optimum implementation and, ultimately, to systemic reform. These include changes to capacity building, funding structures, equitable engagement and transparent evaluation. These must be underpinned by evidence-based approaches, partnership, trust and broad consensus processes to achieve meaningful and impactful CCI in research and healthcare improvement through a lens of inclusivity.

Does health literacy mediate the relationship between socioeconomic status and health related outcomes in the Belgian adult population?

BACKGROUND: Health literacy (HL) has been put forward as a potential mediator through which socioeconomic status (SES) affects health. This study explores whether HL mediates the relation between SES and a selection of health or health-related outcomes. METHODS: Data from the participants of the Belgian health interview survey 2018 aged 18 years or older were individually linked with data from the Belgian compulsory health insurance (n = 8080). HL was assessed with the HLS-EU-Q6. Mediation analyses were performed with health behaviour (physical activity, diet, alcohol and tobacco consumption), health status (perceived health status, mental health status), use of medicine (purchase of antibiotics), and use of preventive care (preventive dental care, influenza vaccination, breast cancer screening) as dependent outcome variables, educational attainment and income as independent variables of interest, age and sex as potential confounders and HL as mediating variable. RESULTS: The study showed that unhealthy behaviours (except alcohol consumption), poorer health status, higher use of medicine and lower use of preventive care (except flu vaccination) were associated with low SES (i.e., low education and low income) and with insufficient HL. HL partially mediated the relationship between education and health behaviour, perceived health status and mental health status, accounting for 3.8-16.0% of the total effect. HL also constituted a pathway by which income influences health behaviour, perceived health status, mental health status and preventive dental care, with the mediation effects accounting for 2.1-10.8% of the total effect. CONCLUSIONS: Although the influence of HL in the pathway is limited, our findings suggest that strategies for improving various health-related outcomes among low SES groups should include initiatives to enhance HL in these population groups. Further research is needed to confirm our results and to better explore the mediating effects of HL.

The impact and user experience of a student-led clinic providing preventative services.

OBJECTIVES: Preventative services are required to address the risk factors for chronic conditions such as cardiovascular disease. The National Health Service Health Checks in England were introduced to provide such services. One School of Pharmacy established a student-led clinic to provide this service to the local community. The clinic was provided by undergraduate pharmacy students and delivered free of charge within a central city locality. The aim was to explore the impact of the clinic on user thoughts and motivations around healthy living and investigate user experience. METHODS: A sequential explanatory mixed methods approach was used consisting of a survey that measured users' thoughts about their health and well-being and experience of the clinic. Qualitative interviews explored the user experience and barriers and facilitators to making healthier lifestyle choices. RESULTS: One hundred and fifty-four members of the public accessed the clinic over the evaluative period. Ninety-six (60%) completed the pre-post survey and 12 participated in follow-up interviews. Users reported statistically significant improvements in how informed, competent and motivated they felt towards making healthier lifestyle choices after the clinic consultation. Interview findings highlighted the positive user experience, reported appreciation for clinic accessibility, availability of healthy lifestyle education, and a desire for more preventative services being as readily available. CONCLUSIONS: The student-led clinic has demonstrated positive impacts on user experience, knowledge, competence, and motivation to make healthier lifestyle choices. The clinic provides proof-of-concept for pharmacy students to deliver preventative community services that aim to improve population health at a time when primary care is experiencing unprecedented challenges.

Implementing a Teaching Rural Mobile Health Clinic: Challenges and Adaptations.

In 2022, Penn State College of Medicine launched the LION Mobile Clinic, a teaching mobile health clinic offering preventive health services in rural Snow Shoe, Pennsylvania. We outline four challenges the clinic team faced in implementation, along with adaptations made to tailor the model to Snow Shoe's needs and opportunities.

Preventive Care for Men Who Have Sex With Men.

Men who have sex with men (MSM) is an inclusive term used to refer to phenotypic males who have insertive or receptive sex (penile-anal or penile-oral) with other phenotypic males, including people who are transgender or have other gender identities. MSM may report their sexual orientation as homosexual, bisexual, heterosexual, or something else, but this stated sexual orientation may not align with their sexual attraction or behaviors. Several health conditions disproportionately affect MSM compared with age-matched heterosexual men, including HIV infection, anal cancer, syphilis, and depression. Clinicians should use culturally sensitive questions to obtain a comprehensive sexual history and assess sexual risk. MSM should receive regular screening for HIV, hepatitis B and C, gonorrhea, chlamydia, and syphilis. Vaccinations for hepatitis A and B and human papillomavirus should be offered. MSM may benefit from preexposure prophylaxis to prevent HIV infection, postexposure prophylaxis to reduce the risk of HIV transmission, and counseling on safer sexual practices. Screening for anal cancer associated with human papillomavirus may be performed by digital anal rectal examination, although the optimal screening strategy has yet to be determined. Clinicians should also consider more frequent screenings for mental health issues in the MSM population because the rates of depression, suicide, substance use, and other psychosocial issues are higher than those of the general population.

Estimated Average-Risk Colorectal Cancer Screening-Eligible Population in the US.

This cross-sectional study estimates the number of average-risk colorectal cancer screening­eligible individuals in the US since the US Preventive Services Task Force updated its recommendations in 2021.

Improving Health Equity and Outcomes for Children and Adolescents: The Role of School-Based Health Centers (SBHCs).

School-based health centers (SBHCs) provide a critical point of access to youth in low-resource communities. By providing a combination of primary care, reproductive health, mental health, vision, dental, and nutrition services, SBHCs improve the health, wellbeing, and academic achievement of the students they serve. SBHCs operate in collaboration with schools and community primary care providers to optimize the management of chronic health conditions and other health concerns that may result in suboptimal scholastic achievement and other quality of life measures. Conveniently located in or near school buildings and providing affordable, child- and adolescent-focused care, SBHCs reduce barriers to youth accessing high quality health care. SBHCs provide essential preventive care services such as comprehensive physical examinations and immunizations to students without a primary care provider, assist in the management of chronic health conditions such as asthma, and provide reproductive and sexual health services such as the provision of contraceptives, screening and treatment for sexually transmitted infections (STIs), and management of pregnancy. Additionally, some SBHCs provide vision screenings, dental care, and nutrition counseling to students who may not otherwise access these services. SBHCs have been demonstrated to be a cost-effective model of health care delivery, reducing both health care and societal costs related to illness, disability, and lost productivity.

Considering the Environmental Impact of Practice-Based Research.

INTRODUCTION: Practice-based research networks (PBRNs) improve primary care by addressing issues that matter to clinicians. Building trust between researchers and care teams is essential to this process, which often requires visiting practices to cultivate relationships and perform research activities. However, in a recent study using practice facilitation to improve the delivery of a preventive service, the COVID-19 pandemic prompted us to convert all planned facilitation from an in-person to virtual format. This eliminated the need to commute by automobile to and from practices across the state, greatly reducing the carbon footprint of the study. METHODS: From practice facilitator field notes that detailed practice locations and number of sessions, we calculated the total number of driving miles averted by virtual facilitation. We then determined metric tons of carbon dioxide we avoided producing using the Environmental Protection Agency Greenhouse Gases Equivalencies Calculator. During post-intervention interviews, we assessed practices' perspectives and experiences with the virtual format. RESULTS: Three practice facilitators provided an average of 3.4 sessions for 64 practices. Virtual facilitation averted 32,574.8 drive miles and prevented the release of 12.7 metric tons of carbon dioxide, an offset equivalent to growing 210 trees for 10 years. Practices reported that virtual facilitation fostered greater engagement and allowed more clinicians and staff to attend sessions. DISCUSSION: Climate change poses a significant threat to the health of people and communities. Given their commitment to improving population health, it may be time for PBRNs to routinely assess their environmental impact and minimize preventable environmental costs.

Screening for lung cancer with computed tomography: protocol for systematic reviews for the Canadian Task Force on Preventive Health Care.

PURPOSE: Lung cancer is the leading cause of cancer deaths in Canada, and because early cancers are often asymptomatic screening aims to prevent mortality by detecting cancer earlier when treatment is more likely to be curative. These reviews will inform updated recommendations by the Canadian Task Force on Preventive Health Care on screening for lung cancer. METHODS: We will update the review on the benefits and harms of screening with CT conducted for the task force in 2015 and perform de novo reviews on the comparative effects between (i) trial-based selection criteria and use of risk prediction models and (ii) trial-based nodule classification and different nodule classification systems and on patients' values and preferences. We will search Medline, Embase, and Cochrane Central (for questions on benefits and harms from 2015; comparative effects from 2012) and Medline, Scopus, and EconLit (for values and preferences from 2012) via peer-reviewed search strategies, clinical trial registries, and the reference lists of included studies and reviews. Two reviewers will screen all citations (including those in the previous review) and base inclusion decisions on consensus or arbitration by another reviewer. For benefits (i.e., all-cause and cancer-specific mortality and health-related quality of life) and harms (i.e., overdiagnosis, false positives, incidental findings, psychosocial harms from screening, and major complications and mortality from invasive procedures as a result of screening), we will include studies of adults in whom lung cancer is not suspected. We will include randomized controlled trials comparing CT screening with no screening or alternative screening modalities (e.g., chest radiography) or strategies (e.g., CT using different screening intervals, classification systems, and/or patient selection via risk models or biomarkers); non-randomized studies, including modeling studies, will be included for the comparative effects between trial-based and other selection criteria or nodule classification methods. For harms (except overdiagnosis) we will also include non-randomized and uncontrolled studies. For values and preferences, the study design may be any quantitative design that either directly or indirectly measures outcome preferences on outcomes pertaining to lung cancer screening. We will only include studies conducted in Very High Human Development Countries and having full texts in English or French. Data will be extracted by one reviewer with verification by another, with the exception of result data on mortality and cancer incidence (for calculating overdiagnosis) where duplicate extraction will occur. If two or more studies report on the same comparison and it is deemed suitable, we will pool continuous data using a mean difference or standardized mean difference, as applicable, and binary data using relative risks and a DerSimonian and Laird model unless events are rare (< 1%) where we will pool odds ratios using Peto's method or (if zero events) the reciprocal of the opposite treatment arm size correction. For pooling proportions, we will apply suitable transformation (logit or arcsine) depending on the proportions of events. If meta-analysis is not undertaken we will synthesize the data descriptively, considering clinical and methodological differences. For each outcome, two reviewers will independently assess within- and across-study risk of bias and rate the certainty of the evidence using GRADE (Grading of Recommendations Assessment, Development, and Evaluation), and reach consensus. DISCUSSION: Since 2015, additional trials and longer follow-ups or additional data (e.g., harms, specific patient populations) from previously published trials have been published that will improve our understanding of the benefits and harms of screening. The systematic review of values and preferences will allow fulsome insights that will inform the balance of benefits and harms. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42022378858.

Leveraging machine learning for effective child maltreatment prevention: A case study of home visiting service assessments.

BACKGROUND: Early identification of children and families who may benefit from support is crucial for implementing strategies that can prevent the onset of child maltreatment. Predictive risk modeling (PRM) may offer valuable and efficient enhancements to existing risk assessment techniques. OBJECTIVE: To evaluate the PRM's effectiveness against the existing assessment tool in identifying children and families needing home visiting services. PARTICIPANTS AND SETTING: Children born in hospitals affiliated with the Bridges Maternal Child Health Network in Orange County, California, from 2011 to 2016 (N = 132,216). METHODS: We developed a PRM tool by integrating a machine learning algorithm with a linked dataset of birth records and child protection system (CPS) records. To align with the existing assessment tool (baseline model), we limited the predicting features to the information used by the existing tool. The need for home visiting services was measured by substantiated maltreatment allegation reported during the first three years of the child's life. RESULTS: Of the children born in Bridges Network hospitals between 2011 and 2016, 2.7 % experienced substantiated maltreatment allegations by the age of three. Within the top 30 % of children with high-risk scores, the PRM tool outperformed the baseline model, accurately identifying 75.3 %-84.1 % of all children who would experience maltreatment substantiation, surpassing the baseline model's performance of 46.2 %. CONCLUSIONS: Our study underscores the potential of PRM in enhancing the risk assessment tool used by a prevention program in a child welfare center in California. The findings provide valuable insights to practitioners interested in utilizing data for PRM development, highlighting the potential of machine learning algorithms to generate accurate predictions and inform targeted preventive services.