Objectives

To evaluate publicly available data sets to determine their utility for studying refugee health.

Methods

We searched for keywords describing refugees in data sets within the Society of General Internal Medicine Dataset Compendium and the Inter-University Consortium for Political and Social Research database. We included in our analysis US-based data sets with publicly available documentation and a self-defined, health-related focus that allowed for an examination of patient-level factors.

Results

Of the 68 data sets that met the study criteria, 37 (54%) registered keyword matches related to refugees, but only 2 uniquely identified refugees.

Conclusions

Few health data sets identify refugee status among participants, presenting barriers to understanding refugees' health and health care needs.

Public health implications

Information about refugee status in national health surveys should include expanded demographic questions and focus on mental health and chronic disease.

Background

The homeless population is aging, with early onset of cognitive and functional impairments. It is unclear whether older homeless adults receive caregiving assistance that could prevent long-term disability.

Objective

We describe characteristics of older homeless-experienced adults with caregiving need and determine factors associated with having unmet need.

Design and participants

Cross-sectional analysis of a longitudinal study, Health Outcomes in People Experiencing Homelessness in Older Middle Age (HOPE HOME), examining health, life course events, and functional status among older homeless-experienced (i.e., currently and recently homeless) adults. We recruited 350 homeless adults (July 2013-June 2014) and an additional 100 (August 2017 to July 2018) in Oakland, California; this study includes 303 participants who completed caregiving interviews.

Measurements

We defined caregiving need as difficulty with activities of daily living (ADLs), instrumental activities of daily living (IADLs), falls, Short Physical Performance Battery (SPPB) score < 10, or Modified Mini-Mental State (3MS) exam impairment. We defined unmet need as having caregiving need and reporting not receiving caregiving assistance in the last 6 months. Using logistic regression, we analyzed associations between respondent characteristics and unmet caregiving need.

Results

Among 303 participants, the mean age was 61.3 ± 5.0 years; 73% were men and 82% were Black. Eighty-one percent had caregiving needs, and in 82% of those, their caregiving needs were unmet. Better self-rated health (AOR 2.13, CI [1.02-4.46], p = 0.04) and being a man (AOR 2.30, CI [1.12-4.69], p = 0.02) were associated with higher odds of unmet need. Moderate or high-risk substance use (AOR 0.47, CI [0.23, 0.94], p = 0.03) was associated with lower odds of unmet need.

Conclusions

Older homeless-experienced adults have high prevalence of unmet caregiving need. Interventions that increase caregiving access for homeless-experienced individuals may help avoid poor health outcomes and costly long-term-care needs due to untreated disabilities.

Objective

To explore physician leaders' perspectives on processes and priorities for engaging with caregivers in their clinical practices as well as within their safety net health systems.

Methods

We conducted in-depth semi-structured interviews with primary care physicians in care management leadership at three California safety net health systems. Interviews explored physicians' experiences managing medically and socially complex patients with caregivers. Using thematic analysis, two qualitative researchers independently analyzed interview transcripts and established consensus with the broader research team through iterative input to derive major themes.

Results

Fifteen physicians completed interviews. Nine participants were women, 8 were White and 10 reported Spanish language proficiency. Participant interviews generated six major themes: challenges uncovering caregiver identities, recognizing variation in caregivers' roles, adapting visit communication strategies to include caregivers, engaging caregivers in patient care, and caring for the caregiver.

Conclusions

Engaging caregivers is challenging given the limited recognition of caregiver involvement in patient care by health systems. Adapting visit communication to include caregivers requires bridging language and literacy barriers.

Practice implications

Developing mechanisms to enable the consistent identification of patients' caregivers, facilitate ongoing communication with caregivers, and extend support for them could improve outcomes for vulnerable patients and their families.

Background

Although the family caregiver workforce is increasingly diverse, little is known about culturally and linguistically diverse caregivers and patients for whom they care. Caregiver roles include communicating with health care teams on behalf of patients with language barriers.

Objective

Our objective is to describe characteristics and experiences of caregivers for patients with limited English proficiency (LEP) immediately following hospital discharge.

Design

Cross-sectional.

Participants

Primary informal caregivers for Chinese- and Spanish-speaking patients with LEP discharged from a large academic medical center's orthopedic surgery, general surgery, and cardiovascular inpatient floors from June 2012 to August 2013.

Main measures

Bilingual-bicultural research assistants conducted baseline structured interviews with patients or surrogates in the hospital, and 3 weeks after discharge, gathering demographic and health information. They then interviewed by phone informal caregivers, identified by patients, to determine caregiving experiences.

Key results

One hundred fifty-eight caregivers were interviewed post-discharge. Two-thirds (69.0%) were adults caring for parents or grandparents, and 20.9% were spouses or partners. Sixty-nine (43.7%) caregivers had LEP themselves, yet only 12% of patients reported having access to professional interpreters at the time discharge instructions were provided. Ninety percent reported performing three or more caregiving roles for the patient (helping at home, helping with medical decisions, helping with medical forms, helping communicate with medical staff, and talking with doctors about medical care). Forty percent reported moderate/high levels of perceived stress (some, most, or all of the time) caring for the patient. Multivariate regression revealed caregivers for Chinese-speaking patients, and those for patients discharged to another hospital were most likely to report moderate/high levels of perceived stress.

Conclusion

Culturally and linguistically diverse caregivers perform multiple roles caring for patients with LEP, often have LEP themselves, and experience notable levels of stress. These results also demonstrate an opportunity to expand the use of professional interpreters at hospital discharge to avoid communication errors.

Objectives

Family caregiver burden among older adults with advanced cancer remains poorly understood. We sought to (1) identify patient factors associated with caregiver burden and (2) examine how amount of time caregiving modifies these relationships.

Methods

Cross-sectional analysis of baseline data from a cluster-randomized palliative care intervention trial including patients with advanced cancer and their family caregivers, recruited from 17 oncology practices in Pennsylvania. Caregiver burden was measured using Zarit Burden Interview (ZBI-12; range 0-48). Patient factors included functional status (Eastern Cooperative Oncology Group), symptom burden (Edmonton Symptom Assessment Scale), anxiety and depression (Hospital Anxiety and Depression Scale), and quality of life (Functional Assessment of Chronic Illness Therapy - Palliative Care). Using adjusted multivariable regression, we analyzed (1) independent associations between patient factors and caregiver burden and (2) how weekly caregiving hours modified these relationships.

Results

Among 441 patient-caregiver dyads, mean patient age was 70 ± 10 and caregiver age was 62 ± 13 years. Most caregivers (59%) were patients' partners. Caregivers reported 44.5 ± 53.5 average hours spent caregiving weekly; mean ZBI-12 scores were 10.3 ± 7.3. Worse patient functional status (β = 4.20, p < 0.01), poorer quality of life (β = -0.07, p < 0.01), more anxiety (β = 0.33, p < 0.01) and depression (β = 0.33, p < 0.01) were associated with higher caregiver burden; caregiving hours did not affect these relationships.

Conclusions

In advanced cancer, poor patient physical and mental health is associated with higher caregiver burden regardless of hours caregiving; future studies should examine interventions tailored to alleviate caregiver burden for this group.

Context

Palliative care offers patient and family centered approaches that may mitigate risk of caregiver burden and poor mood.

Objectives

To determine whether a palliative care intervention (CONNECT) improved burden, mood, and self-efficacy among caregivers of patients with advanced cancer.

Methods

In this cluster randomized trial, patients and their caregivers were recruited from 17 Oncology clinics in Pennsylvania. Participants attended nurse-led monthly visits, addressing patient symptoms, goals of care, and advance care planning. At baseline and three months, we measured caregiver burden using Zarit Burden Interview (ZBI-12; range 0-48), caregiver anxiety and depression using Hospital Anxiety and Depression Scales (HADS-A, range 0-21; HADS-D, range 0-21). We measured caregiver self-efficacy at three months using Caregiver Inventory (CGI; range 0-189).

Results

We enrolled 441 caregivers and 381 completed three-month assessments. We found no significant differences in caregiver burden (adjusted mean difference -0.39; 95% CI -1.07-0.29, P = 0.90), depression (adjusted mean difference -0.22, 95% CI -0.97-0.55, P = 0.26), or anxiety (adjusted mean difference 0.09; 95% CI -1.25-1.43, P = 0.58), between the intervention and standard care at three months. Caregiver self-efficacy was higher at three months in the intervention compared to standard care (adjusted mean difference 9.36; 95% CI 0.95-17.77, P = 0.030).

Conclusion

Caregivers in CONNECT did not experience improved burden or mood, however, they reported higher self-efficacy compared to caregivers receiving standard care. This study highlights the need for strategies to optimize caregiver outcomes in palliative care interventions.

Objective

In the National Library of Medicine funded ECLIPPSE Project (Employing Computational Linguistics to Improve Patient-Provider Secure Emails exchange), we attempted to create novel, valid, and scalable measures of both patients' health literacy (HL) and physicians' linguistic complexity by employing natural language processing (NLP) techniques and machine learning (ML). We applied these techniques to > 400,000 patients' and physicians' secure messages (SMs) exchanged via an electronic patient portal, developing and validating an automated patient literacy profile (LP) and physician complexity profile (CP). Herein, we describe the challenges faced and the solutions implemented during this innovative endeavor.

Materials and methods

To describe challenges and solutions, we used two data sources: study documents and interviews with study investigators. Over the five years of the project, the team tracked their research process using a combination of Google Docs tools and an online team organization, tracking, and management tool (Asana). In year 5, the team convened a number of times to discuss, categorize, and code primary challenges and solutions.

Results

We identified 23 challenges and associated approaches that emerged from three overarching process domains: (1) Data Mining related to the SM corpus; (2) Analyses using NLP indices on the SM corpus; and (3) Interdisciplinary Collaboration. With respect to Data Mining, problems included cleaning SMs to enable analyses, removing hidden caregiver proxies (e.g., other family members) and Spanish language SMs, and culling SMs to ensure that only patients' primary care physicians were included. With respect to Analyses, critical decisions needed to be made as to which computational linguistic indices and ML approaches should be selected; how to enable the NLP-based linguistic indices tools to run smoothly and to extract meaningful data from a large corpus of medical text; and how to best assess content and predictive validities of both the LP and the CP. With respect to the Interdisciplinary Collaboration, because the research required engagement between clinicians, health services researchers, biomedical informaticians, linguists, and cognitive scientists, continual effort was needed to identify and reconcile differences in scientific terminologies and resolve confusion; arrive at common understanding of tasks that needed to be completed and priorities therein; reach compromises regarding what represents "meaningful findings" in health services vs. cognitive science research; and address constraints regarding potential transportability of the final LP and CP to different health care settings.

Discussion

Our study represents a process evaluation of an innovative research initiative to harness "big linguistic data" to estimate patient HL and physician linguistic complexity. Any of the challenges we identified, if left unaddressed, would have either rendered impossible the effort to generate LPs and CPs, or invalidated analytic results related to the LPs and CPs. Investigators undertaking similar research in HL or using computational linguistic methods to assess patient-clinician exchange will face similar challenges and may find our solutions helpful when designing and executing their health communications research.

Background

Little is known about patients who have caregiver proxies communicate with healthcare providers via portal secure messaging (SM). Since proxy portal use is often informal (e.g., sharing patient accounts), novel methods are needed to estimate the prevalence of proxy-authored SMs.

Objective

(1) Develop an algorithm to identify proxy-authored SMs, (2) apply this algorithm to estimate predicted proxy SM (PPSM) prevalence among patients with diabetes, and (3) explore patient characteristics associated with having PPSMs.

Design

Retrospective cohort study.

Participants

We examined 9856 patients from Diabetes Study of Northern California (DISTANCE) who sent ≥ 1 English-language SM to their primary care physician between July 1, 2006, and Dec. 31, 2015.

Main measures

Using computational linguistics, we developed ProxyID, an algorithm that identifies phrases frequently found in registered proxy SMs. ProxyID was validated against blinded expert categorization of proxy status among an SM sample, then applied to identify PPSM prevalence across patients. We examined patients' sociodemographic and clinical characteristics according to PPSM penetrance, "none" (0%), "low" (≥ 0-50%), and "high" (≥ 50-100%).

Key results

Only 2.3% of patients had ≥ 1 registered proxy-authored SM. ProxyID demonstrated moderate agreement with expert classification (Κ = 0.58); 45.7% of patients had PPSMs (40.2% low and 5.5% high). Patients with high percent PPSMs were older than those with low percent and no PPSMs (66.5 vs 57.4 vs 56.2 years, p < 0.001) had higher rates of limited English proficiency (16.1% vs 3.2% vs 3.5%, p < 0.05), lower self-reported health literacy (3.83 vs 4.43 vs 4.44, p < 0.001), and more comorbidities (Charlson index 3.78 vs 2.35 vs 2.18, p < 0.001).

Conclusions

Among patients with diabetes, informal proxy SM use is more common than registered use and prevalent among socially and medically vulnerable patients. Future research should explore whether proxy portal use improves patient and/or caregiver outcomes and consider policies that integrate caregivers in portal communication.

ABSTRACTThis study aimed to explore the firsthand experiences of informal primary caregivers of women with female genital fistula in Uganda. Caregivers that accompanied women for surgery at Mulago National Teaching and Referral Hospital were recruited between January and September 2015. Caregivers participated in in-depth interviews and focus groups. Data were analysed thematically and informed adaptation of a conceptual framework. Of 43 caregivers, 84% were female, 95% family members, and most married and formally employed. Caregivers engaged in myriad personal care and household responsibilities, and described being on call for an average of 22.5 h per day. Four overlapping themes emerged highlighting social, economic, emotional, and physical experiences/consequences. The caregiving experience was informed by specific caregiver circumstances (e.g. personal characteristics, care needs of their patient) and dynamic stressors/supports within the caregiver's social context. These results demonstrate that caregivers' lived social, economic, emotional, and physical experiences and consequences are influenced by both social factors and individual characteristics of both the caregiver and their patient. This study may inform programmes and policies that increase caregiving supports while mitigating caregiving stressors to enhance the caregiving experience, and ultimately ensure its feasibility, particularly in settings with constrained resources.

Background

Patient engagement with secure messaging (SM) via digital patient portals has been associated with improved diabetes outcomes, including increased patient satisfaction and better glycemic control. Yet, disparities in SM uptake exist among older patients and racial and ethnic underserved groups. Care partners (family members or friends) may provide a means for mitigating these disparities; however, it remains unclear whether and to what extent care partners might enhance SM use.

Objective

We aim to examine whether SM use differs among older patients with diabetes based on the involvement of care partner proxies.

Methods

This is a substudy of the ECLIPPSE (Employing Computational Linguistics to Improve Patient-Provider Secure Emails) project, a cohort study taking place in a large, fully integrated health care delivery system with an established digital patient portal serving over 4 million patients. Participants included patients with type 2 diabetes aged ≥50 years, newly registered on the patient portal, who sent ≥1 English-language message to their clinician between July 1, 2006, and December 31, 2015. Proxy SM was identified by having a registered proxy. To identify nonregistered proxies, a computational linguistics algorithm was applied to detect words and phrases more likely to appear in proxy messages compared to patient-authored messages. The primary outcome was the annual volume of secure messages (sent or received); secondary outcomes were the length of time to the first SM sent by patient or proxy and the number of annual SM exchanges (unique message topics generating ≥1 reply).

Results

The mean age of the cohort (N=7659) at this study's start was 61 (SD 7.16) years; 75% (n=5573) were married, 15% (n=1089) identified as Black, 10% (n=747) Chinese, 12% (n=905) Filipino, 13% (n=999) Latino, and 30% (n=2225) White. Further, 49% (n=3782) of patients used a proxy to some extent. Compared to nonproxy users, proxy users were older (P<.001), had lower educational attainment (P<.001), and had more comorbidities (P<.001). Adjusting for patient sociodemographic and clinical characteristics, proxy users had greater annual SM volume (20.7, 95% CI 20.2-21.2 vs 10.9, 95% CI 10.7-11.2; P<.001), shorter time to SM initiation (hazard ratio vs nonusers: 1.30, 95% CI 1.24-1.37; P<.001), and more annual SM exchanges (6.0, 95% CI 5.8-6.1 vs 2.9, 95% CI 2.9-3.0, P<.001). Differences in SM engagement by proxy status were similar across patient levels of education, and racial and ethnic groups.

Conclusions

Among a cohort of older patients with diabetes, proxy SM involvement was independently associated with earlier initiation and increased intensity of messaging, although it did not appear to mitigate existing disparities in SM. These findings suggest care partners can enhance patient-clinician telecommunication in diabetes care. Future studies should examine the effect of care partners' SM involvement on diabetes-related quality of care and clinical outcomes.