Discharge against medical advice: ‘deviant’ behaviour or a health system quality gap?

The last word: An analysis of power dynamics in clinical notes documenting against-medical-advice discharges

Against Medical Advice (AMA) discharges pose significant challenges to the healthcare system, straining patient-clinician relationships while contributing to avoidable morbidity and mortality. Furthermore, though these discharges culminate in patients' departure from hospitals, their effects reverberate long after, propagated by clinician notes stored in patients' medical records. These notes capture exceptionally fraught interactions between patients and providers, describing the circumstances surrounding breakdowns in clinical relationships. Additionally, they represent just one side of complex, contentious social interactions, for in describing AMA discharges, clinician notewriters quite literally have the last word. For these reasons, notes documenting AMA discharges provide insight into the ways in which clinicians conceptualize, characterize, and propagate power differentials in the contemporary healthcare system. Here, we present a qualitative thematic analysis of 185 notes documenting AMA discharges from a large urban US medical center, interpreting note dynamics through three sociological models of power analysis: (i) the distributive model of power promulgated by Max Weber, (ii) the collectivist power model characterized by Talcott Parsons and Hannah Arendt, and (iii) structural interpretations of power developed by Michel Foucault. We argue that in documenting AMA discharges, clinicians appear to conceive of their relationship with patients in almost exclusively distributive terms, which in turn contributes to an adversarial dynamic whereby both patients and clinicians ultimately suffer disempowerment. We furthermore argue that by facilitating clinicians' recognition of power's collectivist and structural dimensions, we may help transform breakdowns in patient-clinician relationships into opportunities for collaboration.

Leaving Against Medical Advice: Current Problems and Plausible Solutions

Leave against medical advice (LAMA) is defined as 'a decision to leave the hospital before the treating physician recommends discharge', and is associated with higher rates of readmission, longer subsequent hospitalization, and worse health outcomes. In addition to this, they also contribute to poor healthcare resource utilization. We conducted a single-center audit to establish patient demographics and contributing factors of patients leaving against medical advice from our emergency department (ED). We benchmarked our data against locally available clinical policy guidelines. We interrogated our electronic health record system (known as Salamtak®), which is a Cerner-based platform (Cerner Corporation, Kansas City, MO 64138) for patients who signed LAMA from ED from 2018 to 2023. We selected a convenience pilot sample of 120 subjects. Based on a literature review, we identified patient demographics (age, gender, nationality, socioeconomic status, marital status, religion), possible contributing factors (time of attendance, insurance status, length of ED stay), and patient outcomes (reattendances within 1 week and mortality) to evaluate. Based on locally available guidance, we formulated six criteria to audit with a standard set at 100% for each. A team of emergency medicine residents collected data that was anonymized on an Excel spreadsheet (Microsoft Excel, Microsoft Corporation. (2018). Basic descriptive statistics were used to collate results. About 93 patients (77.5%) were 16 years and above, and 27 patients (22.5%) were below 16 years. There was a slight preponderance of males (64 patients, 53.3%) than females (56 patients, 46.6%). The majority of LAMA cases presented in the evening and night (97 patients, 80.8%). About 57 (47.5%) patients had an ED length of stay of 3 hours or more. The average ED length of stay for these patients was 3.4 hours. About 73 patients (60.3%) were insured. Out of 120 patients, only 12 (10%) had a mental capacity assessment documented. The commonest reason for signing LAMA was a social reason in 45 (37.5%) cases. In the remaining cases, the causes were a combination of family, financial, waiting, or other/undocumented reasons). When faced with a decision to LAMA, the involvement of a Public Relationship Officer (PRO) was only documented to be consulted in seven (5.8%) cases. About 14 cases were re-attended within 1 week (11.6%) and no mortalities were reported in any of the reattendances. LAMA is a not-so-rare phenomenon often occurring in EDs, and often a cause of trepidation for healthcare workers. Treating this as an aberrant behavior on the part of the patient, or laying the responsibility for this action on the healthcare provider is primitive, counter-productive, and not patient-centric. Familiarity with local guidelines around this contentious area is essential. Revised nomenclature like 'premature discharge' may be less stigmatizing for the patient. Where possible, a harm reduction approach should be used and frontline healthcare workers must be prepared with an escalation plan. In the United Arab Emirates, familiarity with Wadeema's Law as a child protection measure is essential.

'Against Medical Advice' Discharges After Respiratory-Related Hospitalizations: Strategies for Respectful Care

Against medical advice (AMA) discharges are practically and emotionally challenging for both patients and clinicians. Moreover, they are common after admissions for respiratory conditions such as COPD and asthma, and they are associated with poor outcomes. Despite the challenges presented by AMA discharges, clinicians rarely receive formal education and have limited guidance on how to approach these discharges. Often, the approach to AMA discharges prioritizes designating the discharge as "AMA," whereas effective coordination of discharge care receives less attention. Such an approach can lead to stigmatization of patients and low-quality care. Although evidence for best practices in AMA discharges remains lacking, we propose a set of strategies to improve care in AMA discharges by focusing on respect, in which clinicians treat patients as equals and honor differing values. We describe five strategies, including (1) preventing an AMA discharge; (2) conducting a patient-centered and truthful discussion of risk; (3) providing harm-reducing discharge care; (4) minimizing stigma and bias; (5) educating trainees. Through a case of a patient discharging AMA after a COPD exacerbation, we highlight how these strategies can be applied to common issues in respiratory-related hospitalizations, such as prescribing inhalers and managing oxygen requirements. We argue that, by using these strategies, clinicians can deliver respectful and higher-quality care to an often-marginalized population of patients with respiratory disease.

An Analysis of Irregular Discharges From Residential Treatment Programs in the Department of Veterans Affairs Health Care System

INTRODUCTION

Veteran populations are frequently diagnosed with mental health conditions such as substance use disorder and PTSD. These conditions are associated with adverse outcomes including a higher risk of suicide. The Veterans Health Administration (VHA) has designed a robust mental health system to address these concerns. Veterans can access mental health treatment in acute inpatient, residential, and outpatient settings. Residential programs play an important role in meeting the needs of veterans who need more structure and support. Residential specialty types in the VHA include general mental health, substance use disorder, PTSD, and homeless/work programs. These programs are affiliated with a DVA facility (i.e., medical center). Although residential care can improve outcomes, there is evidence that some patients are discharged from these settings before achieving the program endpoint. These unplanned discharges are referred to using language such as against medical advice, self-discharge, or irregular discharge. Concerningly, unplanned discharges are associated with patient harm including death by suicide. Although there is some initial evidence to locate factors that predict irregular discharge in VHA residential programs, no work has been done to examine features associated with irregular discharge in each residential specialty.

METHODS

We conducted a retrospective cohort study of patients who were discharged from VHA residential treatment programs between January 2018 and September 2022. We included the following covariates: Principal diagnosis, gender, age, race/ethnicity, number of physical health conditions, number of mental health diagnostic categories, marital status, risk of homelessness, urbanicity, and service connection. We considered two discharge types: Regular and irregular. We used logistic regression to determine the odds of irregular discharge using models stratified by bed specialty as well as combined odds ratios and 95% CIs across program specialties. The primary purposes are to identify factors that predict irregular discharge and to determine if the factors are consistent across bed specialties. In a secondary analysis, we calculated facility-level adjusted rates of irregular discharge, limiting to facilities with at least 50 discharges. We identified the amount of residual variation that exists between facilities after adjusting for patient factors.

RESULTS

A total of 279 residential programs (78,588 patients representing 124,632 discharges) were included in the analysis. Substance use disorder and homeless/work programs were the most common specialty types. Both in the overall and stratified analyses, the number of mental health diagnostic categories and younger age were predictors of irregular discharge. In the facility analysis, there was substantial variation in irregular discharge rates across residential specialties even after adjusting for all patient factors. For example, PTSD programs had a mean adjusted irregular discharge rate of 15.3% (SD: 7.4; range: 2.1-31.2; coefficient of variation: 48.4%).

CONCLUSIONS

Irregular discharge is a key concern in VHA residential care. Patient characteristics do not account for all of the observed variation in rates across residential specialty types. There is a need to develop specialty-specific measures of irregular discharge to learn about system-level factors that contribute to irregular discharge. These data can inform strategies to avoid harms associated with irregular discharge.

Inpatient GHB withdrawal management in an inner-city hospital in Sydney, Australia: a retrospective medical record review

RATIONALE

Regular consumption of gamma-hydroxybutyrate (GHB) may result in a dependence syndrome that can lead to withdrawal symptoms. There are limited data on medications to manage GHB withdrawal.

OBJECTIVES

To examine characteristics associated with delirium and discharge against medical advice (DAMA), in the context of implementing a GHB withdrawal management protocol at an inner-city hospital in 2020.

METHODS

We retrospectively reviewed records (01 January 2017-31 March 2021), and included admissions that were ≥ 18 years of age, admitted for GHB withdrawal, and with documented recent GHB use. Admissions were assessed for demographics, medications administered, features of delirium, ICU admission, and DAMA. Exploratory analyses were conducted to examine factors associated (p < 0.2) with features of delirium and DAMA.

RESULTS

We identified 135 admissions amongst 91 patients. Medications administered included diazepam (133 admissions, 98.5%), antipsychotics (olanzapine [70 admissions, 51.9%]), baclofen (114 admissions, 84%), and phenobarbital (8 admissions, 5.9%). Features of delirium were diagnosed in 21 (16%) admissions. Delirium was associated with higher daily GHB consumption prior to admission, while duration of GHB use, time from presentation to first dose of diazepam, and concomitant methamphetamine use were inversely associated with delirium. DAMA occurred amongst 41 (30%) admissions, and was associated with a longer time from presentation to first dose of baclofen, while being female and receiving a loading dose of diazepam were inversely associated.

CONCLUSIONS

This study adds to the literature in support of the safety and feasibility of diazepam and baclofen for the management of GHB withdrawal. Prospective, randomised trials are required.

Leave events among Aboriginal and Torres Strait Islander people: a systematic review

BACKGROUND

Leave events are a public health concern resulting in poorer health outcomes. In Australia, leave events disproportionally impact Aboriginal and Torres Strait Islander people. A systematic review was conducted to explore the causes of leave events among Aboriginal and Torres Strait Islander people and strategies to reduce them.

METHODS

A systematic review was conducted using Medline, Web of Science, Embase and Informit, a database with a strong focus on relevant Australian content. Additionally, we examined the references of the records included, and performed a manual search using Google, Google scholar and the Australia's National Institute for Aboriginal and Torres Strait Islander Health Research. Two independent reviewers screened the records. One author extracted the data and a second author reviewed it. To appraise the quality of the studies the Mixed Methods Appraisal Tool was used as well as the Aboriginal and Torres Strait Islander Quality Appraisal Tool. A narrative synthesis was used to report quantitative findings and an inductive thematic analysis for qualitative studies and reports.

RESULTS

We located 421 records. Ten records met eligibility criteria and were included in the systematic review. From those, four were quantitative studies, three were qualitative studies and three reports. Five records studied data from the Northern Territory, two from Western Australia, two from New South Whales and one from Queensland. The quantitative studies focused on the characteristics of the patients and found associations between leave events and male gender, age younger than 45 years and town camp residency. Qualitative findings yielded more in depth causes of leave events evidencing that they are associated with health care quality gaps. There were multiple strategies suggested to reduce leave events through adapting health care service delivery. Aboriginal and Torres Strait Islander representation is needed in a variety of roles within health care provision and during decision-making.

CONCLUSION

This systematic review found that multiple gaps within Australian health care delivery are associated with leave events among Aboriginal and Torres Strait Islander people. The findings suggest that reducing leave events requires better representation of Aboriginal and Torres Strait Islander people within the health workforce. In addition, partnership with Aboriginal and Torres Strait Islander people is needed during the decision-making process in providing health services that meet Aboriginal and Torres Strait Islander cultural needs.

Review of management priorities for invasive infections in people who inject drugs: highlighting the need for patient-centred multidisciplinary care

There has been a global increase in the burden of invasive infections in people who inject drugs (PWID). It is essential that patient-centred multidisciplinary care is provided in the management of these infections to engage PWID in care and deliver evidence-based management and preventive strategies. The multidisciplinary team should include infectious diseases, addictions medicine (inclusive of alcohol and other drug services), surgery, psychiatry, pain specialists, pharmacy, nursing staff, social work and peer support workers (where available) to help address the comorbid conditions that may have contributed to the patient's presentation. PWID have a range of antimicrobial delivery options that can be tailored in a patient-centred manner and thus are not limited to prolonged hospital admissions to receive intravenous antimicrobials for invasive infections. These options include discharge with outpatient parenteral antimicrobial therapy, long-acting lipoglycopeptides (dalbavancin and oritavancin) and early oral antimicrobials. Open and respectful discussion with PWID including around harm reduction strategies may decrease the risk of repeat presentations with injecting-related harms.

Adverse Discharge Outcomes Associated With the Medicare Hospital Readmissions Reduction Program Among Commercially Insured Adults

ABSTRACT

It is unknown if changes in the rate of discharges against medical advice (DAMA) are related to the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP). We performed an interrupted time series analysis of monthly DAMA rates per 1,000 discharges of all enrolled individuals 18-64 years old with a hospitalization between January 1, 2006, and December 31, 2015, in a commercially insured population. We performed a segmented linear regression with two interruptions: (1) April 2010 to coincide with the passage of the HRRP and (2) October 2012 to coincide with the implementation of HRRP penalties. There were 1,087,812 discharges representing 668,823 individuals over 120 months. The downward trend in monthly DAMA rates was reversed significantly after April 2010 with a sustained 0.1 increase in the monthly rate that continued after the implementation of penalties in October 2012. Allowing for the two interruptions, there was a statistically significant positive trend (0.10; 0.06-0.13, p < .01) in April 2010. Relative to the first interruption, there was no statistically significant change in the slope in October 2012; the estimated slope was -0.04 (-0.08 to 0.002). Monthly DAMA rates increased in anticipation of and after HRRP implementation, suggesting a potential relationship between the HRRP and DAMA.

Radioimaging and Demographic Profiles of Patients with Spontaneous Intracerebral Hemorrhage: A Need for the Pragmatic Referral System

Referring patients with severe medical conditions, like brain stroke, from small or rural hospitals to tertiary care centers is often overexploited leading to a kind of defensive medicine. The issue of a patient referral system remains unaddressed in Nepal. In this article, we investigated the legitimacy of referring patients with spontaneous intracranial hemorrhage (ICH) from country peripheral hospitals to the leading tertiary neurological center in Nepal. We found that 81 out of the 130 ICH patients reviewed in the study were referred. We further show that the classifiers to be considered most in the decision-making on the patient referral are as follows: hematoma volume, midline shift found in radioimaging, ventricular extension of bleeding, and appearance of hydrocephalus. An improper referral of the patient to the tertiary care center decreases limited resources of healthcare services in low-income countries. We believe the study reflects a prevailing belief among healthcare professionals that the current referral system could be improved with the inception of the "hub and spoke" model of healthcare. In this model, a network of secondary health institutions, capable of offering limited treatment, would refer ICH patients to an anchor tertiary institution, respecting the proper dichotomization of patients based on the clinical classifiers. We conclude that the use of the "hub and spoke" model, legitimizing the patient referral system, is posed to offer medical benefits for patients hit by a stroke and would be economically viable for both patients and healthcare services.

One-third of people who inject drugs are at risk of incomplete treatment for Staphylococcus aureus bacteraemia: a retrospective medical record review

Staphylococcus aureus bacteraemia (SAB) is often a complication of injecting drug use, and is associated with high morbidity and mortality. This article reports the first audit of inpatient parenteral treatment of SAB completion among people who inject drugs (PWID) in Australia. Of 198 patients admitted with SAB, 106 were analysed. Twelve PWID had an inpatient stay <14 days compared with seven non-PWID (34% vs 10%; P=0.002). Sixteen PWID experienced discharge against medical advice compared with zero non-PWID (46% vs 0%; P<0.001). Re-admission to hospital within 28 days was 2.5 times greater among PWID than non-PWID (31% vs 15%; P=0.026). Methadone dose <60 mg/day was associated with premature discharge in opioid-dependent PWID receiving methadone (n=21, 100% vs 31%; P=0.012).

Documentation of Shared Decisionmaking in the Emergency Department

STUDY OBJECTIVE

While patient-centered communication and shared decisionmaking are increasingly recognized as vital aspects of clinical practice, little is known about their characteristics in real-world emergency department (ED) settings. We constructed a natural language processing tool to identify patient-centered communication as documented in ED notes and to describe visit-level, site-level, and temporal patterns within a large health system.

METHODS

This was a 2-part study involving (1) the development and validation of an natural language processing tool using regular expressions to identify shared decisionmaking and (2) a retrospective analysis using mixed effects logistic regression and trend analysis of shared decisionmaking and general patient discussion using the natural language processing tool to assess ED physician and advanced practice provider notes from 2013 to 2020.

RESULTS

Compared to chart review of 600 ED notes, the accuracy rates of the natural language processing tool for identification of shared decisionmaking and general patient discussion were 96.7% (95% CI 94.9% to 97.9%) and 88.9% (95% confidence interval [CI] 86.1% to 91.3%), respectively. The natural language processing tool identified shared decisionmaking in 58,246 (2.2%) and general patient discussion in 590,933 (22%) notes. From 2013 to 2020, natural language processing-detected shared decisionmaking increased 300% and general patient discussion increased 50%. We observed higher odds of shared decisionmaking documentation among physicians versus advanced practice providers (odds ratio [OR] 1.14, 95% CI 1.07 to 1.23) and among female versus male patients (OR 1.13, 95% CI 1.11 to 1.15). Black patients had lower odds of shared decisionmaking (OR 0.8, 95% CI 0.84 to 0.88) compared with White patients. Shared decisionmaking and general patient discussion were also associated with higher levels of triage and commercial insurance status.

CONCLUSION

In this study, we developed and validated an natural language processing tool using regular expressions to extract shared decisionmaking from ED notes and found multiple potential factors contributing to variation, including social, demographic, temporal, and presentation characteristics.

'Missingness' in health care: Associations between hospital utilization and missed appointments in general practice. A retrospective cohort study

Objectives

Are multiple missed appointments in general practice associated with increased use of hospital services and missingness from hospital care? This novel study explores this in a population representative sample for the first time.

Design, setting, participants

A large, retrospective cohort (n = 824,374) of patient records from a nationally representative sample of GP practices, Scotland, 2013–2016. Requested data were extracted by a Trusted Third Party for the NHS, anonymised and linked to a unique patient ID, in the NHS Safehaven for analysis using established NHS Scotland linkage. We calculated the per-patient number of GP missed appointments from individual appointments and investigated the likelihood of hospital appointment or admission outcomes using a negative binomial model offset by number of GP appointments made. These models also controlled for age, sex, Scottish Index of Multiple Deprivation (SIMD) and number of long- term conditions (LTCs).

Main outcome measures

Hospital attendance: Outpatient clinic attendances; hospital admissions; Emergency Department (ED) attendances. Hospital missingness: ‘Did not attend’ (DNAs) outpatient clinic appointments, ‘irregular discharges’ from admissions, and ‘left before care completed’ ED care episodes.

Results

Attendance: Patients in the high missed GP appointment (HMA) category were higher users of outpatient services (rate ratio (RR) 1.90, 95% confidence intervals (CI) 1.88–1.93) compared to those who missed none (NMA) with a much higher attendance risk at mental health services (RR 4.56, 95% CI 4.31–4.83). HMA patients were more likely to be admitted to hospital; general admissions (RR 1.67, 95% CI 1.65–1.68), maternity (RR 1.24, 95% CI 1.20–1.28) and mental health (RR 1.23, 95% CI 1.15–1.31), compared to NMA patients. Missing GP appointments was not associated with ED attendance; (RR 1.00, CI 0.99–1.01).

Missingness: HMA patients were at greater risk of missing outpatient appointments (RR 1.62, 95% CI 1.60–1.64) than NMA patients; with a much higher risk of non-attendance at mental health services (RR 7.83, 95% CI 7.35–8.35). Patients were more likely to leave hospital before their care plan was completed-taking ‘irregular discharges’ (RR 4.56, 95% CI 4.31–4.81). HMA patients were no more at risk of leaving emergency departments ‘without care being completed’ (RR1.02, 95 CI 0.95–1.09).

Conclusions

Patients who miss high numbers of GP appointments are higher users of outpatient and inpatient hospital care but not of emergency departments, signalling high treatment burden.

The pattern of ‘missingness’ is consistent from primary care to hospital care: patients who have patterns of missing GP appointments have patterns of missing many outpatient appointments and are more likely to experience ‘irregular discharge’ from in-patient care. Missingness from outpatient mental health services is very high.

Policymakers, health service planners and clinicians should consider the role and contribution of ‘missingness’ in health care to improving patient safety and care.

Classifying discharge scenarios to improve understanding and care

Hospital discharge planning is valuable in improving care and avoiding discharge delays. This is highly relevant to older people. Although usual discharge planning is now well understood and applicable to most patients, a range of different discharge scenarios exist that involve different considerations. These less common scenarios appear less well understood and can be challenging for clinical staff. To improve understanding and care, this Commentary suggests a basic classification of six discharge planning scenarios. These are: usual discharge planning, premature discharge, rehabilitation selection, safety concerns, reluctant discharge and delayed discharge. Clinical and system responses to each scenario are briefly discussed. This classification could potentially be useful in clinical education and quality improvement.