Care trajectories and transitions at the end of life: a population-based cohort study.

BACKGROUND: End-of-life periods are often characterised by suboptimal healthcare use (HCU) patterns in persons aged 65 years and older, with negative effects on health and quality of life. Understanding care trajectories (CTs) and transitions in this period can highlight potential areas of improvement, a subject yet only little studied. OBJECTIVE: To propose a typology of CTs, including care transitions, for older individuals in the 2 years preceding death. DESIGN: Retrospective cohort study. METHODS: We used multidimensional state sequence analysis and data from the Care Trajectories-Enriched Data (TorSaDE) cohort, a linkage between a Canadian health survey and Quebec health administrative data. RESULTS: In total, 2080 decedents were categorised into five CT groups. Group 1 demonstrated low HCU until the last few months, whilst group 2 showed low HCU over the first year, followed by a steady increase. A gradual increase over the 2 years was observed for groups 3 and 4, though more pronounced towards the end for group 3. A persistent high HCU was observed for group 5. Groups 2 and 4 had higher proportions of cancer diagnoses and palliative care, as opposed to comorbidities and dementia for groups 3 and 5. Overall, 68.4% of individuals died in a hospital, whilst 27% received palliative care there. Care transitions increased rapidly towards the end, most notably in the last 2 weeks. CONCLUSION: This study provides an understanding of the variability of CTs in the last two years of life, including place of death, a critical step towards quality improvement.

Handoffs and Equity: Impact of a Patient Distribution Model on Handoffs for Black Patients.

BACKGROUND: Hospital medicine patient distribution models (PDM) assign patients to inpatient services on hospital admission. Models balance tradeoffs including patient handoffs, physician wellness, subspecialty care, and other factors to ensure optimal outcomes; however, equity is rarely considered. Handoffs during inpatient care can result in medical error and worse patient outcomes. This study evaluates the impact of a PDM that prioritizes use of specialty care services and an overflow service (OS) during high census on racial inequities in handoff frequency. METHODS: A single-center retrospective cohort study of inpatient encounters on hospital medicine services from July 2017 to December 2019 was conducted. The primary exposures included being discharged by a general medicine service (GMS) or cared for by an OS. The primary outcome was handoffs per day of stay, analyzed by multivariable regression adjusted for age, gender, race, ethnicity, insurance, discharge from GMS, and care from OS. RESULTS: A total of 4165 inpatient hospitalizations with the majority of their stay on a hospital medicine service were reviewed. Patients discharged by GMS (78.2% vs. 58.1%, p < .001) and cared for by OS (78.7% vs. 67.0%, p < .001) were more likely to identify as Black. Multivariable analysis showed a handoff risk ratio of 1.53 (p < .001) for OS patients and 1.06 (p = .01) if discharged from GMS, but race alone did not significantly affect risk of handoffs. CONCLUSION: The PDM prioritization drove increased handoffs disproportionately for Black patients. Multivariable analysis showed that race alone did not contribute to increased handoffs suggesting the creation of a systemic bias in patient care.

Caregiving Trajectories and Unmet Care Needs in Later Life.

BACKGROUND AND OBJECTIVES: The evolution of care networks accompanying older adults' changing care needs-and implications for unmet care needs-are not well described. RESEARCH DESIGN AND METHODS: Using group-based trajectory models, we identify 4 incident care need patterns ("care need trajectory groups") for 1,038 older adults in the 2012-2018 National Health and Aging Trends Study and 5 caregiving patterns ("caregiving trajectory groups") and a transient group among their 4,106 caregivers. We model associations between care need/caregiving trajectory groups and the rate of (approximating the proportion of rounds with) unmet care needs. We illustrate how predicted rates vary by care need trajectory groups and by network composition for networks with 2 caregivers. RESULTS: The percentage of rounds with unmet care needs varies from 13% among older adults with few, stable needs to 62% among those with many, stable needs (p<.01). In models, care need trajectory group is strongly associated with the rate of unmet care needs; among those with steep increasing care needs, network composition is also predictive. For older adults with steep increasing care needs, when one caregiver provides high, variable and another medium, stable care hours, the predicted rate of unmet care needs is low (0.16) and similar to those with few, stable care needs (0.12). DISCUSSION AND IMPLICATIONS: Findings highlight the complexity and heterogeneity of older adults' care needs and caregiving patterns over time. For those with rapidly increasing needs, identifying and assessing the evolving care network may be a fruitful direction for forestalling unmet care needs.

Overcoming challenges in real-world evidence generation: An example from an Adult Medical Care Coordination program.

The Adult Medical Care Coordination program ("the program") was implemented at Mayo Clinic to promote patient self-management and improve 30-day unplanned readmission for patients with high risk for readmission after hospital discharge. This study aimed to evaluate the impact of the program compared to usual care using a pragmatic, stepped wedge cluster randomized trial ("stepped wedge trial"). However, several challenges arose including large differences between the study arms. Our goal is to describe the challenges and present lessons learned on how to overcome such challenges and generate evidence to support practice decisions. We describe the challenges encountered during the trial, the approach to addressing these challenges, and lessons learned for other learning health system researchers facing similar challenges. The trial experienced several challenges in implementation including several clinics dropping from the study and care disruptions due to COVID-19. Additionally, there were large differences in the patient population between the program and usual care arms. For example, the mean age was 76.8 for the program and 68.1 for usual care. Due to these differences, we adapted the methods using the propensity score matching approach that is traditionally applied to observational designs and adjusted for differences in observable characteristics. When conducting pragmatic research, researchers will encounter factors beyond their control that may introduce bias. The lessons learned include the need to weigh the tradeoffs of pragmatic design elements and the potential value of adaptive designs for pragmatic trials. Applying these lessons would promote the successful generation of evidence that informs practice decisions.

Toward a Consensus on Strategies to Support Opioid Use Disorder Care Transitions Following Hospitalization: A Modified Delphi Process.

BACKGROUND: Despite proliferation of acute-care interventions to initiate medications for opioid use disorder (MOUD), significant challenges remain to supporting care continuity following discharge. Research is needed to inform effective hospital strategies to support patient transitions to ongoing MOUD in the community. OBJECTIVE: To inform a taxonomy of care transition strategies to support MOUD continuity from hospital to community-based settings and assess their perceived impact and feasibility among experts in the field. DESIGN: A modified Delphi consensus process through three rounds of electronic surveys. PARTICIPANTS: Experts in hospital-based opioid use disorder (OUD) treatment, care transitions, and hospital-based addiction treatment. MAIN MEASURES: Delphi participants rated the impact and feasibility of 14 OUD care transition strategies derived from a review of the scientific literature on a scale from 1 to 9 over three survey rounds. Panelists were invited to suggest additional care transition strategies. Agreement level was calculated based on proportion of ratings within three points of the median. KEY RESULTS: Forty-five of 71 invited panelists participated in the survey. Agreement on impact was strong for 12 items and moderate for 10. Agreement on feasibility was strong for 11 items, moderate for 7, and poor for 4. Strategies with highest ratings on impact and feasibility included initiation of MOUD in-hospital and provision of buprenorphine prescriptions or medications before discharge. All original 14 strategies and 8 additional strategies proposed by panelists were considered medium- or high-impact and were incorporated into a final taxonomy of 22 OUD care transition strategies. CONCLUSIONS: Our study established expert consensus on impactful and feasible hospital strategies to support OUD care transitions from the hospital to community-based MOUD treatment, an area with little empirical research thus far. It is the hope that this taxonomy serves as a stepping-stone for future evaluations and clinical practice implementation toward improved MOUD continuity and health outcomes.

Exploring transitions in care among patients with head and neck CANCER: a multimethod study.

BACKGROUND: Patients with head and neck cancers (HNC) experience many transitions in care (TiC), occurring when patients are transferred between healthcare providers and/or settings. TiC can compromise patient safety, decrease patient satisfaction, and increase healthcare costs. The evidence around TiC among patients with HNC is sparse. The objective of this study was to improve our understanding of TiC among patients with HNC to identify ways to improve care. METHODS: This multimethod study consisted of two phases: Phase I (retrospective population-based cohort study) characterized the number and type of TiC that patients with HNC experienced using deterministically linked, population-based administrative health data in Alberta, Canada (January 1, 2012, to September 1, 2020), and Phase II (qualitative descriptive study) used semi-structured interviews to explore the lived experiences of patients with HNC and their healthcare providers during TiC. RESULTS: There were 3,752 patients with HNC; most were male (70.8%) with a mean age at diagnosis of 63.3 years (SD 13.1). Patients underwent an average of 1.6 (SD 0.7) treatments, commonly transitioning from surgery to radiotherapy (21.2%). Many patients with HNC were admitted to the hospital during the study period, averaging 3.3 (SD 3.0) hospital admissions and 7.8 (SD 12.6) emergency department visits per patient over the study period. Visits to healthcare providers were also frequent, with the highest number of physician visits being to general practitioners (average = 70.51 per patient). Analysis of sixteen semi-structured interviews (ten patients with HNC and six healthcare providers) revealed three themes: (1) Navigating the healthcare system including challenges with the complexity of HNC care amongst healthcare system pressures, (2) Relational head and neck cancer care which encompasses patient expectations and relationships, and (3) System and individual impact of transitions in care. CONCLUSIONS: This study identified challenges faced by both patients with HNC and their healthcare providers amidst the frequent TiC within cancer care, which was perceived to have an impact on quality of care. These findings provide crucial insights that can inform and guide future research or the development of health interventions aiming to improve the quality of TiC within this patient population.

Clinician perspectives on the perioperative roles and responsibilities of anesthesia, surgery, and primary care.

BACKGROUND: Although high-risk older patients benefit from a multidisciplinary approach to perioperative care, the specific roles and responsibilities of the clinicians involved have yet to be adequately characterized. METHODS: Qualitative analysis of semi-structured interviews with four anesthesia preoperative clinic providers, seven surgeons, and nine primary care providers in northern New England. RESULTS: The analysis revealed both distinct and overlapping roles and responsibilities. Anesthesia providers were described as a "safety net" and surgeons as "captain of the ship", in charge of getting "all the ducks in a row" to avoid surgery delays and cancellations. Primary care providers saw themselves as the "quarterback", ensuring care continuity and consideration of patient psychosocial factors. CONCLUSIONS: While all have a shared responsibility for facilitating patient-centered decision-making and a safe perioperative course, each discipline has different areas of focus and expertise. Role clarification can help optimize the distribution of responsibilities and enhance perioperative communication and collaboration.

Improving patient care transitions from the intensive care unit to the ward by learning from everyday practice. A multicenter qualitative study.

OBJECTIVE: To explore and describe the everyday practices (Work-As-Done) that hinder and facilitate patient care transitions from the intensive care unit (ICU) to the ward. RESEARCH METHOD/DESIGN: Multiple qualitative case studies in the ICU and various specialized wards of three Dutch hospitals. Adult patients planned to be transferred were purposively sampled on a variety of characteristics along with their relative (if present), and the ICU and ward nurses who were involved in the transition process. Data were collected by using multiple sources (i.e., observations, semi-structured interviews and a qualitative survey) and then systematically analyzed using the thematic analysis approach until saturation was reached. FINDINGS: Twenty-six cases were studied. For each case, the actual transfer was observed. Sixteen patients, five relatives and 36 nurses were interviewed. Two patients completed the survey. Fifteen themes emerged from the data, showing that the quality of transitions is influenced by the extent to which nurses anticipate to patient-specific needs (e.g., providing timely and adequate information, orientation, mental support and aftercare) and to the needs of the counterpart to continue care (e.g., by preparing handovers) besides following standard procedures. Data also show that procedures sometimes interfere with what works best in practice (e.g., communication via a liaison service instead of direct communication between ICU and ward nurses). CONCLUSIONS: Subtle, non-technical nursing skills play an important role in comforting patients and in the coordination of care when patients are transferred from the ICU to the ward. IMPLICATIONS FOR CLINICAL PRACTICE: These Work-As-Done findings and their underlying narratives, that are often overlooked when focusing on quality improvement, can be used as material to reflect on own practice and raise awareness for its impact on patients. They may stimulate healthcare staff in crafting interventions for optimizing the transition process.

Caregivers' burden of care during emergency department care transitions among older adults: a mixed methods cohort study.

OBJECTIVE: Improving care transitions for older adults can reduce emergency department (ED) revisits, and the strain placed upon caregivers. We analyzed whether caregivers felt a change in burden following a care transition, and what may be improved to reduce it. METHODS: This mixed-methods observational study nested within LEARNING WISDOM included caregivers of older patients who experienced an ED care transition. Burden was collected with the brief Zarit Burden Interview (ZBI-12), and caregivers also commented on the care transition. A qualitative coding scheme of patient care transitions was created to reflect themes important to caregivers. Comments were randomly analyzed until saturation and themes were extracted from the data. We followed both the SRQR and STROBE checklists. RESULTS: Comments from 581 caregivers (mean age (SD) 64.5 (12.3), 68% women) caring for patients (mean age (SD) 77.2 (7.54), 48% women) were analyzed. Caregivers overwhelmingly reported dissatisfaction and unmet service expectations, particularly with home care and domestic help. Communication and follow-up from the ED emerged as an area for improvement. Caregivers who reported an increased level of burden following a patient's care transition had significantly higher ZBI scores than caregivers who self-reported stable burden levels. CONCLUSION: Caregivers with increasing, stable, and improved levels of subjective burden all reported areas for improvement in the care transition process. Themes centering on the capacity to live at home and inadequate communication were most frequently mentioned and may represent serious challenges to caregivers. Addressing these challenges could improve both caregiver burden and ED care transitions.

End-of-Life Care during the COVID-19 Pandemic: Decreased Hospitalization of Nursing Home Residents at the End of Life.

(1) Background: Nursing homes (NHs) face unique challenges in end-of-life care for their residents. High rates of hospitalization at the end of life are frequent, often for preventable conditions. The increased clinical uncertainty during the pandemic, the high symptom burden of the COVID-19 disease, and the challenges in communication with families and between care teams might impact the option to hospitalize NH residents at the end of life. (2) Materials and methods: The study covered a 3-year period and compared the hospitalization rates of the NH residents of a sample of Portuguese NH during the last year of life before and during the pandemic. A total of 387 deceased residents were included in the study. (3) Results: There were fewer hospitalizations in the last year of life during the pandemic period, although the proportion of deaths at hospitals was the same. Hospitalizations occurred closer to death, and with more serious clinical states. The lower rate of hospitalization was due to lower hospitalization due to infection; (4) Conclusions: The data suggest an improvement in end-of-life care practices during the pandemic period, with the decrease in hospitalizations being due to potentially burdensome hospitalizations. The importance of the role of physicians, nurses, and caregivers in this setting may be relatively independent of each other, and each may be targeted in end-of-life care training. Further study is recommended to clarify the implications of the results and if the changes can be sustained in the long term.

Lost in Transition: Insights from a Retrospective Chart Audit on Nutrition Care Practices for Older Australians with Malnutrition Transitioning from Hospital to Home.

Care transitions from hospital to home for older adults with malnutrition present a period of elevated risk; however, minimal data exist describing the existing practice. This study aimed to describe the transition of nutrition care processes provided to older adults in a public tertiary hospital in Australia. A retrospective chart audit conducted between July and October 2022 included older (≥65 years), malnourished adults discharged to independent living. Dietetic care practices (from inpatient to six-months post-discharge) were reported descriptively. Of 3466 consecutive admissions, 345 (10%) had a diagnosis of malnutrition documented by the dietitian and were included in the analysis. The median number of dietetic visits per admission was 2.0 (IQR 1.0-4.0). Nutrition-focused discharge plans were inconsistently developed and documented. Only 10% of patients had nutrition care recommendations documented in the electronic discharge summary. Post-discharge oral nutrition supplementation was offered to 46% and accepted by 34% of the patients, while only 23% attended a follow-up appointment with dietetics within six months of hospital discharge. Most patients who are seen by dietitians and diagnosed with malnutrition appear lost in transition from hospital to home. Ongoing work is required to explore determinants of post-discharge nutrition care in this vulnerable population.

Development and Implementation of Postdischarge Text Messages to Adolescents With Suicidal Thoughts and Behaviors Through Caring Contacts: Implementation Study.

BACKGROUND: Youth suicide is a pressing public health concern, and transitions in care after a suicidal crisis represent a period of elevated risk. Disruptions in continuity of care and emotional support occur frequently. "Caring contacts" validating messages post discharge have the potential to enhance connections with patients and have been shown to improve outcomes. More recently, positive outcomes have been noted using caring contact text messages (SMS and MMS), which hold promise for engaging patients in a pediatric setting, but there are few studies describing the large-scale implementation of such an approach. OBJECTIVE: This study aims to describe the process of developing and implementing automated caring contacts within a quality improvement framework, using a standardized series of supportive texts and images, for adolescents discharged from high-acuity programs at a large midwestern pediatric hospital. We describe lessons learned, including challenges and factors contributing to success. METHODS: We implemented the caring contacts intervention in 3 phases. Phase 1 entailed developing supportive statements and images designed to promote hope, inclusivity, and connection in order to create 2 sets of 8 text messages and corresponding images. Phase 2 included piloting caring contacts manually in the hospital's Psychiatric Crisis Department and Inpatient Psychiatry Unit and assessing the feasibility of implementation in other services, as well as developing workflows and addressing legal considerations. Phase 3 consisted of implementing an automated process to scale within 4 participating hospital services and integrating enrollment into the hospital's electronic medical records. Process outcome measures included staff compliance with approaching and enrolling eligible patients and results from an optional posttext survey completed by participants. RESULTS: Compliance data are presented for 4062 adolescent patients eligible for caring contacts. Overall, 88.65% (3601/4062) of eligible patients were approached, of whom 52.43% (1888/3601) were enrolled. In total, 94.92% (1792/1888) of enrolled participants completed the program. Comparisons of the patients eligible, approached, enrolled, and completed are presented. Primary reasons for eligible patients declining include not having access to a mobile phone (686/1705, 40.23%) and caregivers preferring to discuss the intervention at a later time (754/1705, 44.22%). The majority of patients responding to the optional posttext survey reported that the texts made them feel moderately to very hopeful (219/264, 83%), supported (232/264, 87.9%), that peers would be helped by these texts (243/264, 92%), and that they would like to keep receiving texts given the option (227/264, 86%). CONCLUSIONS: This study describes the successful implementation of automated postdischarge caring contacts texts to scale with an innovative use of images and demonstrates how a quality improvement methodology resulted in a more effective and efficient process. This paper also highlights the potential for technology to enhance care for at-risk youth and create more accessible, inclusive, and sustainable prevention strategies.

Effect of standardized EHR-integrated handoff report on intraoperative communication outcomes.

OBJECTIVES: We evaluated the effectiveness and implementability of a standardized EHR-integrated handoff report to support intraoperative handoffs. MATERIALS AND METHODS: A pre-post intervention study was used to compare the quality of intraoperative handoffs supported by unstructured notes (pre) to structured, standardized EHR-integrated handoff reports (post). Participants included anesthesia clinicians involved in intraoperative handoffs. A mixed-method approach was followed, supported by general observations, shadowing, surveys, and interviews. RESULTS: One hundred and fifty-one intraoperative permanent handoffs (78 pre, 73 post) were included. One hundred percent of participants in the post-intervention cohort utilized the report. Compared to unstructured, structured handoffs using the EHR-integrated handoff report led to: (1) significant increase in the transfer of information about airway management (55%-78%, P < .001), intraoperative course (63%-86%, P < .001), and potential concerns (64%-88%, P < .001); (2) significant improvement in clinician satisfaction scores, with regards to information clarity and succinctness (4.5-4.7, P = .002), information transfer (3.8-4.2, P = .011), and opportunities for fewer errors reported by senders (3.3-2.5, P < .001) and receivers (3.2-2.4, P < .001); and (3) significant decrease in handoff duration (326.2-262.3 s, P = .016). Clinicians found the report implementation highly acceptable, appropriate, and feasible but noted a few areas for improvement to enhance its usability and integration within the intraoperative workflow. DISCUSSION AND CONCLUSION: A standardized EHR-integrated handoff report ensures the effectiveness and efficiency of intraoperative handoffs with its structured, consistent format that-promotes up-to-date and pertinent intraoperative information transfer; reduces opportunities for errors; and streamlines verbal communication. Handoff standardization can promote safe and high-quality intraoperative care.

The association between rurality, places of care and the location of death of long-term care home residents with dementia: A population-based study.

Background: Most individuals prefer to spend their final moments of life outside a hospital setting. This study compares the places of care and death of long-term care (LTC) home residents in Ontario in the last 90 days of life, according to LTC home rurality. Data and methods: This retrospective cohort study was conducted using health administrative data from ICES (formerly known as the Institute for Clinical Evaluative Sciences). The study population, which was identified through algorithms, included all Ontario LTC home residents with a dementia diagnosis who died between April 1, 2014, and March 31, 2019. The location of death was categorized as in an acute care hospital, an LTC home, a subacute care facility, or the community. Places of care included emergency department visits and hospitalizations in the last 90 days of life. Statistical tests were used to evaluate differences in location of death and places of care by rurality. Results: Of the 65,375 LTC home residents with dementia, 49,432 (75.6%) died in an LTC home. Residents of LTC homes in the most urban areas were less likely to die in an LTC home than those in more rural homes (adjusted relative risk: 0.84; 95% confidence interval: 0.83 to 0.85). A higher proportion of residents of the most urban LTC homes had at least one hospitalization in the last 90 days of life compared with rural residents (23.7% versus 9.9% palliative hospitalizations and 28.3% versus 15.9% non-palliative hospitalizations [p ⟨ 0.001]). Interpretation: Individuals with dementia residing in urban LTC homes are more likely to receive care in the hospital and to die outside a LTC home than their counterparts living in rural LTC homes. The findings of this work will inform efforts to improve end-of-life care for older adults with dementia living in LTC homes.

Nurse Navigator Responsibilities in Managing Care Transitions for the Patient With Acute Myeloid Leukemia.

Oncology nurse navigators (ONNs) help address barriers that would affect the patient's ability to receive timely and quality cancer care and bridge gaps from the ambulatory to acute settings by reinforcing the treatment pla.

Last year of life care transitions between long-term care insurance services in Japan: Analysis of long-term care insurance claims data.

AIM: We determined the number of care transitions in the year before death among older adults requiring long-term care (LTC) and those receiving public LTC insurance (LTCI) services in Japan, along with care transition pathways and factors associated with the number of care transitions. METHODS: This study used data from the Japanese LTCI claims, which store national information on certification of needed LTC and LTCI claims data. Services received in the year before death were classified as in-home, facility, mixture of in-home and facility, and not using LTCI services. The transition count is presented, and Sankey diagrams are produced to visualize care transition pathways. We used a multivariable analysis to identify factors associated with the number of care transitions. RESULTS: Of the participants, 276 896 (65.2%) experienced at least one transition in LTCI care settings in the year before death. Further, 72.0% of those requiring mild LTC underwent one or more transitions. Participants who were 75-84 years old (vs. 65-74 years old), male, without medical care needs, with symptoms of dementia, and with changes in LTC needs in the year before death were more likely to require care transitions. Moreover, participants with higher baseline LTC needs were less likely to require transitions. CONCLUSION: Over half the participants requiring LTC underwent one or more care transitions in the year before death. Policy deliberations regarding enhancing care under the LTCI system at the end of life and optimizing care transitions are necessary. Geriatr Gerontol Int 2024; ••: ••-••.

Barriers and Facilitators to Establishing Partnerships for Substance Use Disorder Care Transitions Between Safety-Net Hospitals and Community-Based Organizations.

BACKGROUND: The effectiveness of hospital-based transitional opioid programs (TOPs), which aim to connect patients with substance use disorders (SUD) to ongoing treatment in the community following initiation of medication for opioid use disorder (MOUD) treatment in the hospital, hinges on successful patient transitions. These transitions are enabled by strong partnerships between hospitals and community-based organizations (CBOs). However, no prior study has specifically examined barriers and facilitators to establishing SUD care transition partnerships between hospitals and CBOs. OBJECTIVE: To identify barriers and facilitators to developing partnerships between hospitals and CBOs to facilitate care transitions for patients with SUDs. DESIGN: Qualitative study using semi structured interviews conducted between November 2022-August 2023. PARTICIPANTS: Staff and providers from hospitals affiliated with four safety-net health systems (n=21), and leaders and staff from the CBOs with which they had established partnerships (n=5). APPROACH: Interview questions focused on barriers and facilitators to implementing TOPs, developing partnerships with CBOs, and successfully transitioning SUD patients from hospital settings to CBOs. KEY RESULTS: We identified four key barriers to establishing transition partnerships: policy and philosophical differences between organizations, ineffective communication, limited trust, and a lack of connectivity between data systems. We also identified three facilitators to partnership development: strategies focused on building partnership quality, strategic staffing, and organizing partnership processes. CONCLUSIONS: Our findings demonstrate that while multiple barriers to developing hospital-CBO partnerships exist, stakeholders can adopt implementation strategies that mitigate these challenges such as using mediators, cross-hiring, and focusing on mutually beneficial services, even within resource-limited safety-net settings. Policymakers and health system leaders who wish to optimize TOPs in their facilities should focus on adopting implementation strategies to support transition partnerships such as inadequate data collection and sharing systems.

Transitions of care between jail-based medications for opioid use disorder and ongoing treatment in the community: A retrospective cohort study.

BACKGROUND: Offering medications for opioid use disorder (MOUD) in carceral settings significantly reduces overdose. However, it is unknown to what extent individuals in jails continue MOUD once they leave incarceration. We aimed to assess the relationship between in-jail MOUD and MOUD continuity in the month following release. METHODS: We conducted a retrospective cohort study of linked NYC jail-based electronic health records and community Medicaid OUD treatment claims for individuals with OUD discharged from jail between 2011 and 2017. We compared receipt of MOUD within 30 days of release, among those with and without MOUD at release from jail. We tested for effect modification based on MOUD receipt prior to incarceration and assessed factors associated with treatment discontinuation. RESULTS: Of 28,298 eligible incarcerations, 52.8 % received MOUD at release. 30 % of incarcerations with MOUD at release received community-based MOUD within 30 days, compared to 7 % of incarcerations without MOUD (Risk Ratio: 2.62 (2.44-2.82)). Most (69 %) with MOUD claims prior to incarceration who received in-jail MOUD continued treatment in the community, compared to 9 % of those without prior MOUD. Those who received methadone (vs. buprenorphine), were younger, Non-Hispanic Black and with no history of MOUD were less likely to continue MOUD following release. CONCLUSIONS: MOUD maintenance in jail is strongly associated with MOUD continuity upon release. Still, findings highlight a gap in treatment continuity upon-reentry, especially among those who initiate MOUD in jail. In the wake of worsening overdose deaths and troubling disparities, improving MOUD continuity among this population remains an urgent priority.

Improving Care Beyond Birth: A Qualitative Study of Postpartum Care After High-Risk Pregnancy.

Background: The postpartum period is a window to engage birthing people in their long-term health and facilitate connections to comprehensive care. However, postpartum systems often fail to transition high-risk patients from obstetric to primary care. Exploring patient experiences can be helpful for optimizing systems of postpartum care. Methods: This is a qualitative study of high-risk pregnant and postpartum individuals. We conducted in-depth interviews with 20 high-risk pregnant or postpartum people. Interviews explored personal experiences of postpartum care planning, coordination of care between providers, and patients' perception of ideal care transitions. We performed thematic analysis using the Capability, Opportunity, Motivation, Behavior (COM-B) model of behavior change as a framework. COM-B allowed for a formal structure to assess participants' ability to access postpartum care and primary care reengagement after delivery. Results: Participants universally identified difficulty accessing primary care in the postpartum period, with the most frequently reported barriers being lack of knowledge and supportive environments. Insufficient preparation, inadequate prenatal counseling, and lack of standardized care transitions were the most significant barriers to primary care reengagement. Participants who most successfully engaged in primary care had postpartum care plans, coordination between obstetric and primary care, and access to material resources. Conclusions: High-risk postpartum individuals do not receive effective counseling on the importance of primary care engagement after delivery. System-level challenges and lack of care coordination also hinder access to primary care. Future interventions should include prenatal education on the benefits of primary care follow-up, structured postpartum planning, and system-level improvements in obstetric and primary care provider communication.