Contingent engagement: What we learn from patients with complex health problems and low socioeconomic status

Diagnosis and the practices of patienthood: How diagnostic journeys shape illness experiences

Sociologists have a rich history of studying the process of diagnosis and how people experience illness. Yet, the sociology of diagnosis and illness experience literatures have seldom been fully integrated. Instead, these literatures highlight one element of the illness journey, wherein scholars either primarily study diagnostic processes and categories or people's illness experiences. Drawing on empirical studies that examine diagnosis and experiences of illness in varied settings (diagnosis during breast cancer surveillance, diagnosis and experience of autoimmune illness and incarcerated women's experiences of diagnoses and illness), in this article we build on our concept of regimes of patienthood to explain how diagnostic journeys, and the relations and power dynamics that manifest during this time, shape the illness experience and practices of patienthood. We construct a classification of diagnostic processes grounded in our empirical research that span (1) sudden diagnoses, (2) long, changing diagnostic journeys and (3) diagnostic journeys marked by disbelief and denial of care. Our findings demonstrate how diagnostic journeys and illness experiences are intertwined, with different diagnostic pathways impacting how illness is experienced. Analysing these categories collectively demonstrates that diagnostic journeys, while heterogenous, shape the practices that patients develop to manage health conditions and navigate unequal health-care encounters.

Types of Engagement Strategies to Engage High-Risk Patients in VA

BACKGROUND

Many healthcare systems seek to improve care for complex high-risk patients, but engaging such patients to actively participate in their healthcare can be challenging.

OBJECTIVE

To identify and describe types of patient engagement strategies reported as successfully deployed by providers/teams and experienced by patients in a Veterans Health Administration (VA) intensive primary care (IPC) pilot program.

METHODS

We conducted semi-structured qualitative telephone interviews with 29 VA IPC staff (e.g., physicians, nurses, psychologists) and 51 patients who had at least four IPC team encounters. Interviews were recorded, transcribed, and analyzed thematically using a combination a priori/inductive approach.

RESULTS

The engagement strategies successfully deployed by the IPC providers/teams could be considered either more "facilitative," i.e., facilitated by and dependent on staff actions, or more "self-sustaining," i.e., taught to patients, thus cultivating their ongoing patient self-care. Facilitative strategies revolved around enhancing patient access and coordination of care, trust-building, and addressing social determinants of health. Self-sustaining strategies were oriented around patient empowerment and education, caregiver and/or community support, and boundaries and responsibilities. When patients described their experiences with the "facilitative" strategies, many discussed positive proximal outcomes (e.g., increased access to healthcare providers). Self-sustaining strategies led to positive (self-reported) longer-term clinical outcomes, such as behavior change.

CONCLUSION

We identified two categories of strategies for successfully engaging complex, high-risk patients: facilitative and self-sustaining. Intensive primary care program leaders may consider thoughtfully building "self-sustaining" engagement strategies into program development. Future research can confirm their effectiveness in improving health outcomes.

Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial

Importance

Variability in intervention participation within care management programs can complicate standard analysis strategies.

Objective

To evaluate whether care management was associated with reduced hospital readmissions among individuals with higher participation probabilities.

Design, Setting, and Participants

A total of 800 hospitalized patients aged 18 years and older were randomized as part of the Health Care Hotspotting randomized clinical trial, which was conducted in Camden, New Jersey, from June 2014 to September 2017. Data were collected through October 2018. In this new analysis performed between April 6, 2022, and April 23, 2023, the distillation method was applied to account for variable intervention participation. A gradient-boosting machine learning model produced predicted probabilities of engaged participation using baseline covariates only. Predicted probabilities were used to trim both intervention and control populations in an equivalent manner, and intervention effects were reevaluated within study population subsets that were increasingly concentrated with patients having higher participation probabilities. Patients had 2 or more hospitalizations in the 6-month preenrollment period and documented evidence of chronic illness and social complexity.

Intervention

Multidisciplinary teams provided services to patients in the intervention arm for a mean 120 days after hospital discharge. Patients in the control group received usual postdischarge care.

Main Outcomes and Measures

Hospital readmission rates and counts 30, 90, and 180 days postdischarge.

Results

Of 800 eligible patients, 782 had complete discharge information and were included in this analysis (mean [SD] age, 56.6 [12.7] years; 395 [50.5%] female). In the intent-to-treat analysis, the unadjusted 180-day readmission rate for treatment and control groups was 60.1% vs 61.7% (adjusted odds ratio, 0.95; 95% CI, 0.71-1.28; P = .73) and the mean (SD) number of 180-day readmissions was 1.45 (1.89) vs 1.48 (1.94) (adjusted incidence rate ratio, 0.99, 95% CI, 0.88-1.12; P = .86). Among the population with the highest participation probabilities, the mean (SD) 180-day readmission count was 1.22 (1.74) vs 1.57 (1.74) and the incidence rate ratio attained statistical significance (adjusted incidence rate ratio, 0.74; 95% CI, 0.56-0.99; P = .045). Adjusted odds ratios and adjusted incidence rate ratios for 30- and 90-day outcomes reached statistical significance after population distillation.

Conclusions and Relevance

This secondary analysis of a randomized clinical trial found that care management was associated with reduced readmissions among patients with higher participation probabilities, suggesting that program operation could be improved by addressing barriers to participation and refining inclusion criteria to identify patients most likely to benefit.

Trial Registration

ClinicalTrials.gov Identifier: NCT02090426.

Exploring Primary Healthcare Experiences and Interest in Mobile Technology Engagement Amongst an Urban Population Experiencing Barriers to Care

Mobile phone-based engagement approaches provide potential platforms for improving access to primary healthcare (PHC) services for underserved populations. We held two focus groups (February 2020) with residents (n = 25) from a low-income urban neighbourhood (downtown Vancouver, Canada), to assess recent healthcare experiences and elicit interest in mobile phone-based healthcare engagement for underserved residents. Note-based analysis, guided by interpretative description, was used to explore emerging themes. Engagement in PHC was complicated by multiple, intersecting personal-level and socio-structural factors, and experiences of stigma and discrimination from care providers. Perceived inadequacy of PHC services and pervasive discrimination reported by participants indicate a significant and ongoing need to improve client-provider relationships to address unmet health needs. Mobile phone-based engagement was endorsed, highlighting phone ownership and client-provider text-messaging, facilitated by non-clinical staff such as peers, as helpful to strengthening retention and facilitating care team connection. Concerns raised included reliability, cost, and technology and language accessibility.

Defining case management success: a qualitative study of case manager perspectives from a large-scale health and social needs support program

Objective

Health systems are expanding efforts to address health and social risks, although the heterogeneity of early evidence indicates need for more nuanced exploration of how such programs work and how to holistically assess program success. This qualitative study aims to identify characteristics of success in a large-scale, health and social needs case management program from the perspective of interdisciplinary case managers.

Setting

Case management program for high-risk, complex patients run by an integrated, county-based public health system.

Participants

30 out of 70 case managers, purposively sampled to represent their interdisciplinary health and social work backgrounds. Interviews took place in March–November 2019.

Primary and secondary outcome measures

The analysis intended to identify characteristics of success working with patients.

Results

Case managers described three characteristics of success working with patients: (1) establishing trust; (2) observing change in patients’ mindset or initiative and (3) promoting stability and independence. Cross-cutting these characteristics, case managers emphasised the importance of patients defining their own success, often demonstrated through individualised, incremental progress. Thus, moments of success commonly contrasted with external perceptions and operational or productivity metrics.

Conclusions

Themes emphasise the importance of compassion for complexity in patients’ lives, and success as a step-by-step process that is built over longitudinal relationships.

Understanding caregiver acceptance of screening for family substance use in pediatric clinics serving economically disadvantaged children

Background: Children of parents with substance use disorders are at greater risk for mental and physical health co-morbidities. Despite guidelines, pediatricians rarely screen for substance use in the family/household, citing fear of offending parents. The objectives of this study were to examine (1) caregiver acceptance of pediatricians screening for family/household substance use during well-child visits, (2) prevalence of family/household substance use, and (3) the association between family/household substance use and trust in their child's pediatrician. Methods: This cross-sectional study surveyed adult caregivers presenting a child for medical care at two urban pediatric outpatient clinics using a brief anonymous computer-based survey. The primary outcome measured the acceptability of pediatrician screening for family/household substance use. Substance use and concerns about use in the family/household were also assessed. Results: Adult caregivers (n = 271) surveyed were mean age 35 years, 73% mothers, 90% African American, and 85% on Medicaid. Over half (51%) of caregivers reported substance use by someone in the family/household, most commonly cigarettes (38%), followed by alcohol (19%) and marijuana (10%). Sixty-one percent of caregivers who reported family substance use expressed concern about the use of this substance. The majority (87%) agreed it is appropriate for pediatricians to ask caregivers about family/household substance use. No differences were found between caregivers who did and did not report substance use in their family/household. Caregivers with concerning substance use in their family/household were less likely to trust their pediatrician [OR = 0.21, 95%CI: 0.05, 0.85] Conclusions: Caregivers endorsed acceptance of universal screening for substance use, including illicit substances, and substance use disorders in the family/household during well-child visits. Pediatricians are trusted professionals with expertise in communicating with parents to maximize the health of their patients; assessing family history of substance use and substance use disorders is a natural extension of their role.

Uncertain and under Quarantine: Toward a Sociology of Medical Ignorance

At the center of the COVID-19 pandemic lies a ubiquitous feature of medicine. Medicine is permeated with ignorance. Seizing this moment to assess the current state of medical sociology, this article articulates a sociology of medical ignorance. We join insights from earlier medical sociological scholarship on uncertainty with emerging research in the sociology of ignorance to help make sense of the omnipresent but sometimes invisible dynamics related to the unknowns in medicine. Then we examine two streams of inquiry with a focus on uncertainty and ignorance-(1) research on the interconnections between technology, medical authority, and ignorance and (2) research on lay expertise within the context of ever-present uncertainties. For decades, and to good effect, medical sociologists have asked, "What does medicine know, and what are the consequences of such knowing?" Going forward, we encourage medical sociologists to examine the unknown in medicine and the consequences of not knowing.

A Novel Intervention for High-Need, High-Cost Medicaid Patients: a Study of ECHO Care

BACKGROUND

A small number of high-need patients account for a disproportionate amount of Medicaid spending, yet typically engage little in outpatient care and have poor outcomes.

OBJECTIVE

To address this issue, we developed ECHO (Extension for Community Health Outcomes) Care™, a complex care intervention in which outpatient intensivist teams (OITs) provided care to high-need high-cost (HNHC) Medicaid patients. Teams were supported using the ECHO model™, a continuing medical education approach that connects specialists with primary care providers for case-based mentoring to treat complex diseases.

DESIGN

Using an interrupted time series analysis of Medicaid claims data, we measured healthcare utilization and expenditures before and after ECHO Care.

PARTICIPANTS

ECHO Care served 770 patients in New Mexico between September 2013 and June 2016. Nearly all had a chronic mental illness, and over three-quarters had a chronic substance use disorder.

INTERVENTION

ECHO Care patients received care from an OIT, which typically included a nurse practitioner or physician assistant, a registered nurse, a licensed mental health provider, and at least one community health worker. Teams focused on addressing patients' physical, behavioral, and social issues.

MAIN MEASURES

We assessed the effect of ECHO Care on Medicaid costs and utilization (inpatient admissions, emergency department (ED) visits, other outpatient visits, and dispensed prescriptions.

KEY RESULTS

ECHO Care was associated with significant changes in patients' use of the healthcare system. At 12 months post-enrollment, the odds of a patient having an inpatient admission and an ED visit were each reduced by approximately 50%, while outpatient visits and prescriptions increased by 23% and 8%, respectively. We found no significant change in overall Medicaid costs associated with ECHO Care.

CONCLUSIONS

ECHO Care shifts healthcare utilization from inpatient to outpatient settings, which suggests decreased patient suffering and greater access to care, including more effective prevention and early intervention for chronic conditions.

Access to midwifery care for people of low socio-economic status: a qualitative descriptive study

Background

Despite public funding of midwifery care, people of low-socioeconomic status are less likely to access midwifery care in Ontario, Canada, but little is known about barriers that they experience in accessing midwifery care. The purpose of this study was to examine the barriers and facilitators to accessing midwifery care experienced by people of low-socioeconomic status.

Methods

A qualitative descriptive study design was used. Semi-structured interviews were conducted with 30 pregnant and post-partum people of low-socioeconomic status in Hamilton, Ontario from January to May 2018. Transcribed interviews were coded using open coding techniques and thematically analyzed.

Results

We interviewed 13 midwifery care recipients and 17 participants who had never received care from midwives. Four themes arose from the interviews: “I had no idea…”, “Babies are born in hospitals”, “Physicians as gateways into prenatal care”, and “Why change a good thing?”. Participants who had not experienced midwifery care had minimal knowledge of midwifery and often had misconceptions about midwives’ scope of practice and education. Prevailing beliefs about pregnancy and birth, particularly concerns about safety, drove participants to seek care from a physician. Physicians are the entry point into the health care system for many, yet few participants received information about midwifery care from physicians. Participants who had experienced midwifery care found it to be an appropriate match for the needs of people of low socioeconomic status. Word of mouth was a primary source of information about midwifery and the most common reason for people unfamiliar with midwifery to seek midwifery care.

Conclusions

Access to midwifery care is constrained for people of low-socioeconomic status because lack of awareness about midwifery limits the approachability of these services, and because information about midwifery care is often not provided by physicians when pregnant people first contact the health care system. For people of low-socioeconomic status, inequitable access to midwifery care may be exacerbated by lack of knowledge about midwifery within social networks and a tendency to move passively through the health care system which traditionally favours physician care. Targeted efforts to address this issue are necessary to reduce disparities in access to midwifery care.

Factors Associated With Patient Nonattendance in Rhinology Clinics

BACKGROUND

Nonattendance to clinical appointments is a global problem appreciated by clinicians with an ambulatory presence. There are few reports of nonattendance in otolaryngology clinics, and no reports on nonattendance for a single otolaryngology subspecialty.

OBJECTIVE

To describe the no-show population in rhinology clinics.

METHODS

A retrospective chart review was performed involving rhinology clinics from 2 academic medical centers in the United States. All patients who either attended their clinic appointment(s) or did not attend without previously cancelling from June 2016 to May 2017 were included. Data collected included patient demographics, appointment status, season and time of visit, insurance status, type of visit (new vs established), and provider seen.

RESULTS

There were 2791 clinical appointments evaluated over a 12-month period at 2 rhinology clinics involving 4 fellowship-trained rhinologists. Ninety-two percent of patients kept their appointments, while 8% did not. Sex, season of visit, time of visit (am vs pm), type of visit, provider sex, provider location, or provider's experience (<10 years vs ≥10 years) were not associated with patient's attendance status. Univariate analysis showed that patient's age ≤50 ( P = .001) and primary insurance type ( P < .001) were associated with nonattendance. Medicaid as the primary insurance type was associated with clinic nonattendance. Multivariable analysis showed that age ≤ 50 years, odds ratio (OR) 1.62 (95% confidence interval [CI] 1.14-2.30), P = .007, and primary insurance type (Medicaid: OR 3.75 [95% CI 2.58-5.45], P < .001) remained significant predictors of nonattendance.

CONCLUSION

Patients younger than 50 years and patients with Medicaid as the primary insurance types are associated with risk of missing rhinology clinic appointments. As a subspecialty, delivery of timely care and clinical efficiency could be improved by interventions directed toward improving attendance among this population.

Enhancing knowledge of authorization requests through registry development

Understanding the member population to which medical coverage policies apply is important for ensuring the relevance of a health insurer's policies. The medical policy unit of our company developed a registry and workflow to enhance our knowledge about the members who seek authorization for bariatric surgery. Data captured in the registry have allowed us to construct a descriptive profile of the entire population that seeks bariatric surgery (both members who are approved and members who are denied). In addition, we have examined characteristics associated with denied authorization requests, determined the proportion of requests originating from specific insurance products, and studied the relationship between results on a specific laboratory test and authorization decisions. Given the growing importance of data in the realm of health care management, this article is an important demonstration of how data can be used to understand populations of members who are affected by medical policies.