Frontiers in health services最新文献

Introduction: The Implementation Research Logic Model (IRLM) aids users in combining, organizing, and specifying the relationships between important constructs in implementation research. The goal of the IRLM is to improve the rigor, reproducibility, and transparency of implementation research projects. The article describing the IRLM was published September 25, 2020 (Implement Sci, Vol 15); it has since been highly cited and included as a required element in multiple funding opportunity announcements from federal agencies. The proliferation of IRLM use across dissemination and implementation research projects and practice provides an excellent opportunity to examine applications across a variety of different contexts. This protocol will result in a description of the impact of the IRLM on the field of dissemination and implementation science and guidance on refinements to the IRLM to increase its utility and impact through (1) a citation analysis, (2) a scoping review, and (3) user surveys and interviews.

Methods and analysis: This protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review reporting guidelines (PRISMA-ScR). We plan to conduct a citation search and analysis of the Smith et al. 2020 article and a scoping review. The review search will be conducted in Medline, Embase, CINAHL Complete, Cochrane Library, APA PsycINFO4, ProQuest Dissertations & Theses Global, Scopus and Web of Science Core Collection., and grey literature will be searched to identify studies that use alternative logic models for implementation research. A survey will be developed from the findings of the scoping review and administered to individuals who used the IRLM. Semi-structured interviews will then be conducted with a sample of survey respondents to provide an opportunity for sequential mixed-methods analysis to achieve a deeper understanding of needed IRLM refinements and recommendations.

Ethics and dissemination: Ethics approval for the scoping review and citation analysis is not applicable as only data from published literature will be used and no original data will be collected. For the survey, IRB will be completed once items are developed from the results of the scoping review and citation analysis. Results will be disseminated through peer-reviewed publications, conference presentations, and via online tools.

Registration details: This protocol was registered with OSF, https://osf.io/y94bj (1).

Background: There is a need for improved methodologies on how to longitudinally analyze, interpret and learn from the Surveys on Patient Safety Culture™ (SOPS), developed by the Agency for Healthcare Research and Quality (AHRQ). Typically, SOPS quantify results by the percentage of positive responses, but this approach may miss insights from neutral or negative feedback.

Study design: The SOPS were distributed every two years from 2011 to 2022 to all hospital staff at one academic institution from perioperative services. Differences between rates of "positive" and "negative" scores ("Delta"), and "neutral" responses over time were calculated. The coefficient of determination (R ²) was used to assess the correlation strength of the positive scores as the primary outcomes provided by the SOPS and Delta values over time. Finally, we evaluated patterns (crossing and converging [indicating "worrisome" patterns] vs. diverging [suggesting "desirable" pattern] vs. stable [suggesting "neutral" pattern]) of the longitudinal scores.

Results: A total of 1,035 responses were analyzed [51 and 40 survey items for SOPS v1 and v2 (2022 only), respectively]. Comparing the R ² values of the positive only scores to the Delta scores demonstrated a change in effect size for "Nonpunitive Response to Error" (R ² = 0.290 vs. 0.420). Of the 13 specific categories measured through SOPS, plotting negative vs. positive values elucidated 2 crossing, 2 converging and 2 diverging patterns indicating both a decrease in positive responses and an increase in negative responses rather than neutral.

Conclusion: Longitudinal analysis of the SOPS using the directional measures, Delta and pattern trends can provide organizations with additional key insights regarding culture of patient safety.

Medical errors can occur in many areas of healthcare, including hospitals, clinics, and surgery centers. They can result in negative consequences for patients and their loved ones. Over the years, different methods have been used to reduce medical errors. Zero Trust is an information security model that denies access to applications and data by default. Other industries have successfully used Zero Trust Model (ZTM), and it has been shown to improve outcomes. This editorial analyzes how the ZTM can be introduced to prevent medical errors in healthcare settings. ZTM application in healthcare could potentially revolutionize patient safety by tightly controlling and monitoring access to sensitive patient data and critical systems. By enhancing security measures, the ZTM could address the paramount concerns of patient data privacy and safety in healthcare. The zero-trust approach offers a potential solution by identifying consistent causes of errors and providing viable solutions to prevent their recurrence. In the era of worsening ransomware attacks on healthcare systems, the ZTM could also have enormous implications in other cybersecurity aspects. With this manuscript, the authors advocate for the broader application of ZTM across other facets of healthcare cybersecurity.

Background: The precision child and youth mental health (PCYMH) paradigm has great potential to transform CYMH care and research, but there are numerous concerns about feasibility, sustainablity, and equity. Implementation science and evaluation methodology, particularly participatory logic models created with stakeholders, may help catalyze PCYMH-driven system transformation. This paper aims to: (1) report results of a PCYMH logic model scoping review; (2) present a case study illustrating creation of a participatory logic model for a PCYMH start-up; and (3) share the final model plus lessons learned.

Methods: Phase 1: Preparation for the logic model comprised several steps to develop a preliminary draft: scoping review of PCYMH logic models; two literature reviews (PCYMH and implementation science research); an environmental scan of our organization's PCYMH research; a gap analysis of our technological capability to support PCYMH research; and 57 stakeholder interviews assessing PCYMH perspectives and readiness. Phase 2: Participatory creation of the logic model integrated Phase 1 information into a draft from which the final logic model was completed through iterative stakeholder co-creation.

Results: Phase 1: The scoping review identified 0 documents. The PCYMH literature review informed our Problem and Impact Statements. Reviewing implementation and evaluation literature resulted in selection of the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) and Behavior Change Wheel (BCW) frameworks to guide model development. Only 1.2% (5/414) of the organization's research projects involved PCYMH. Three technological infrastructure gaps were identified as barriers to developing PCYMH research. Stakeholder readiness interviews identified three themes that were incorporated into the draft. Phase 2: Eight co-creation cycles with 36 stakeholders representing 13 groups and a consensus decision-making process were used to produce the final participatory logic model.

Conclusions: This is the first study to report the development of a participatory logic model for a PCYMH program, detailing involvement of stakeholders from initial planning stages to the final consensus-based product. We learned that creating a participatory logic model is time- and labour-intensive and requires a multi-disciplinary team, but the process produced stakeholder-program relationships that enabled us to quickly build and implement the PCYMH start-up. Our processes and final model can inform similar efforts at other sites.

Background: Cardiac rehabilitation (CR) services aim to improve heart disease patients' health and quality of life and reduce the risk of further cardiac events. Depression and anxiety are common among CR patients but psychological treatments have usually had small effects. In contrast, the recent NIHR-funded PATHWAY trial found that group Metacognitive Therapy (MCT) was associated with improvements in anxiety and depression when added to CR and was more effective than usual CR alone. The next stage is to test implementation of MCT within the National Health Service through the creation of a network of CR beacon sites. The study will test the quality of data capture following addition of a new MCT data-field to the national audit of cardiac rehabilitation (NACR), examine level of adoption at sites, examine mental health outcomes benchmarked against usual CR and the PATHWAY data, examine the enablers and barriers to implementation and the expected resource requirements. The study has been registered: NCT05956912 (13th July, 2023).

Methods: Beacon sites will be recruited as preliminary adopters of group MCT from NHS CR services in England. A national invitation for expressions of interest from CR services will be issued and those meeting eligibility criteria will be considered for inclusion. Two staff at each site will receive training in MCT, and mixed-methods will be used to address questions concerning the quality of patient data recorded, level of adoption at sites, the characteristics of patients attending MCT, the impact of adding MCT to CR on mental health outcomes, and patient, healthcare staff and commissioner views of barriers/enablers to implementation. Exploration of implementation will be informed by Normalisation Process Theory.

Discussion: The study will support development of an NHS roll-out strategy, assess the mental health outcomes associated with MCT, examine treatment fidelity in real-world settings, and evaluate revised data collection structures that can be used to assess the impact of national-level implementation.

Trial registration: NCT05956912; 13^th July 2023.

Introduction: Health insurance is a key instrument for a health system on its path to achieving universal health coverage (UHC) and protects individuals from catastrophic health expenditures, especially in health emergencies. However, there are other dimensions to care access beyond financial accessibility. In this study, we assess the geographical accessibility of comprehensive emergency obstetric care (CEmOC) within the Lagos State Health Insurance Scheme.

Methods: We geocoded functional public and private CEmOC facilities, established facilities registered on the insurance panel as of December 2022, and assembled population distribution for women of childbearing age. We used Google Maps Platform's internal directions application programming interface to obtain driving times to facilities. State- and local government area (LGA)-level median travel time (MTT) and a number of CEmOC facilities reachable within 30 min were obtained for peak travel hours.

Results: Across Lagos State, MTT to the nearest public CEmOC was 25 min, reduced to 17 min with private facilities added to the insurance panel. MTT to the nearest public facility in LGAs ranged from 9 min (Lagos Island) to 51 min (Ojo) (median = 25 min). With private facilities added, MTT ranged from 5 min (Agege and Ajeromi-Ifelodun) to 36 min (Ibeju-Lekki) (median = 13 min). On average, no public CEmOC facility was reachable within 30 min of driving for women living in 6 of 20 LGAs. With private facilities included in the scheme, reachable facilities within 30 min remained zero in one LGA (Ibeju-Lekki).

Conclusions: Our innovative approach offers policy-relevant evidence to optimise insurance coverage, support efforts in advancing UHC, ensure coverage for CEmOC, and improve health system performance.

[This retracts the article DOI: 10.3389/frhs.2023.1082261.].

Introduction: Long-acting injectable (LAI) antipsychotic medications and clozapine are effective yet underutilized medical therapies in early intervention services. The purpose of this study was to conduct a pre-implementation evaluation of contextual determinants of early intervention programs to implement innovations optimizing LAI antipsychotic and clozapine use within a shared decision-making model.

Methods: Semi-structured interviews explored barriers and facilitators to implementing LAI antipsychotics and clozapine in early intervention services. Participants were: prescribers (n = 2), non-prescribing clinicians (n = 5), administrators (n = 3), clients (n = 3), and caregivers (n = 3). Interviews were structured and analyzed using the Consolidated Framework for Implementation Research (CFIR 2.0).

Results: Participants were supportive of using LAI antipsychotics, despite barriers (e.g., transportation, insurance coverage), while most were unfamiliar with clozapine (Innovation). Critical incidents (e.g., COVID-19) did not interfere with implementation, while barriers included lack of performance measures; stigma affecting willingness to take medication; and clozapine considered to be a "last resort" (Outer Setting). Treatment culture was described as client-centered and collaborative, and most participants indicated LAI antipsychotic use was compatible with clinic workflows, but some were in need of resources (e.g., individuals trained to administer LAI antipsychotics; Inner Setting). Participants on the healthcare team expressed confidence in their roles. Family education and collaborative decision-making were recommended to improve client/family engagement (Individuals). Participants related the importance of tracking medication compliance, addressing client concerns, and providing prescribers with updated guidelines on evidence-based treatment (Implementation Process).

Discussion: Results may guide implementation strategy selection for future programs seeking to optimize the use of LAI antipsychotics and clozapine for early-phase schizophrenia, when appropriate.

Background: The Fogarty International Center-led Adolescent HIV Implementation Science Alliance (AHISA) supports region-/country-specific implementation science (IS) alliances that build collaborations between research, policy, and program partners that respond to local implementation challenges. AHISA supported the development of seven locally-led IS alliances: five country-specific (i.e., Kenya, South Africa, Tanzania, Uganda, and Zambia), one in Central and West Africa, and one with youth researchers. This article outlines the aims, activities, and outcomes of local alliances, demonstrating how they enhance sustainable IS activities to address local challenges.

Methods: We conducted a desk review of each alliance's funding applications, reports, and data from the initial findings of a larger AHISA evaluation. The review analyzes common approaches, highlights their local relevance, and summarizes initial outcomes.

Results: The local alliances have a common goal: to expand implementation of successful interventions to improve adolescent HIV. We identified four overarching themes across the local alliances' activities: capacity building, priority setting, stakeholder engagement, and knowledge dissemination. Research capacity building activities include long-term mentorship between junior and senior researchers and short-term training for non-research partners. Setting priorities with members identifies local research needs and streamlines activities. Alliances incorporate substantial engagement between partners, particularly youth, who may serve as leaders and co-create activities. Dissemination shares activities and results broadly.

Conclusion: Local IS alliances play a key role in building sustainable IS learning and collaboration platforms, enabling improved uptake of evidence into policy and programs, increased IS research capacity, and shared approaches to addressing implementation challenges.