Why Do Patients Leave against Medical Advice? Reasons, Consequences, Prevention, and Interventions

Admission outcomes and their associated factors among children admitted to the paediatric emergency unit within 24 hours of Dilla University Referral Hospital, Ethiopia, 2023: a cross-sectional study

BACKGROUND

Children in paediatric emergency units are those who need special attention, and unless treated early, they are a vulnerable population to unwanted outcomes like death, discharge against medical advice or referral to other institutions within 24 hours.

OBJECTIVES

To assess admission outcomes and their associated factors among children admitted to the paediatric emergency unit of Dilla University Referral Hospital, Ethiopia, 2023.

METHODS

An institution-based cross-sectional study design was employed among children admitted to the paediatric emergency unit at Dilla University Referral Hospital from 8 May 2023 to 8 June 2023. A total of 885 complete charts of the children aged 29 days to 14 years were analysed. Structured checklist was used for data collection. STATA V.14 was used for data analysis. A multinomial logistic regression model was used to determine the factors associated with admission outcomes. Overall model fitness was checked using the likelihood ratio test.

RESULT

Out of 885 patient charts reviewed, the magnitude of patients improved, transferred, died, referred and discharged against medical advice was 51%, 40.9%, 7.6%, 0.1% and 0.4%, respectively. Children presented with diarrhoea (adjusted OR (AOR) =2.92, 95% CI 1.46 to 5.84), severe respiratory distress (AOR=5.08, 95% CI 2.49 to 10.35), coma (AOR=3.71, 95% CI 1.24 to 11.13), comorbidity (AOR=3.33, 95% CI 1.49 to 7.41) and delay to seek healthcare (AOR=1.99, 95% CI 1.03 to 3.83) were significantly associated factors with emergency unit mortality, whereas pneumonia (AOR=1.76, 95% CI 1.16 to 2.65) and severe acute malnutrition (AOR=3.46, 95% CI 2.06 to 5.81) were significantly associated factors with intrahospital unit/ward transfer.

CONCLUSION

The magnitude of mortality, transfer to the ward and discharge against medical advice were relatively higher. Interventions focused on early diagnoses, and the initiation of appropriate treatments was of the utmost relevance to improving patient outcomes.

Following Medical Advice of an AI or a Human Doctor? Experimental Evidence Based on Clinician-Patient Communication Pathway Model

Medical large language models are being introduced to the public in collaboration with governments, medical institutions, and artificial intelligence (AI) researchers. However, a crucial question remains: Will patients follow the medical advice provided by AI doctors? The lack of user research makes it difficult to provide definitive answers. Based on the clinician-patient communication pathway model, this study conducted a factorial experiment with a 2 (medical provider, AI vs. human) × 2 (information support, low vs. high) × 2 (response latency, slow vs. fast) between-subjects design (n = 535). The results showed that participants exhibited significantly lower adherence to AI doctors' advice than to human doctors. In addition, the interaction effect suggested that, under the slow-response latency condition, subjects perceived greater health benefits and patient-centeredness from human doctors, while the opposite was observed for AI doctors.

"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; and (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 more respectful and higher quality care to an often-marginalized population of patients with respiratory disease.

Admission and Patients Undergoing Surgery at Risk of Patient-Directed Discharges

This study discusses admission and patients undergoing surgery at risk of patient-directed discharges.

Factors Associated With Child and Youth Mental Health Readmissions From a US National Database

Objective

To describe and identify factors associated with mental health (MH) readmission rates for youth ages 5 to 17 years discharged between January 2019 and November 2019.

Method

This retrospective, cross-sectional analysis using the 2019 Nationwide Readmissions Database identified hospitalizations for patients with a primary diagnosis of an MH condition using the Clinical Classification Software groupings, which are based on ICD-10-CM codes. Various patient characteristics including comorbidities were included in univariate and multivariate analysis to study their association with psychiatric readmission.

Results

A 30-day readmission rate of 7.8% was found for the overall sample with significantly higher rates for youth younger than age 15 years. MH comorbidity was a factor in readmission rates; having ≥3 primary MH conditions was associated with higher rates of readmission (adjusted odds ratio [aOR] = 1.20). Significantly higher rates of readmission were noted for several diagnostic groupings including schizophrenia spectrum and other psychotic disorders (aOR = 1.95); bipolar and related disorders (aOR = 1.42); other specified and unspecified mood disorders (aOR = 1.42); disruptive, impulse-control, and conduct disorders (aOR = 1.32); and neurodevelopmental disorders (aOR = 1.23). Having public insurance (aOR=1.28) and a longer length of stay (AOR = 1.71 for ≥15 days) were associated with significantly higher odds of an MH readmission.

Conclusion

A concerning number of children admitted for MH conditions in 2019 were readmitted within 30 days (7.8%). Younger children, children with specific MH diagnoses, children with public health insurance, and children with a long initial length of stay have higher odds for readmission and represent a target for prevention and intervention.

Diversity & Inclusion Statement

We worked to ensure that the study questionnaires were prepared in an inclusive way. Diverse cell lines and/or genomic datasets were not available. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science.

Obstacles to Accepting Care: Understanding Why Obstetric Patients Leave against Medical Advice

INTRODUCTION

Discharge "against medical advice" (AMA) in the obstetric population is overall under-studied but disproportionally affects marginalized populations and is associated with worse perinatal outcomes. Reasons for discharges AMA are not well understood. The objective of this study is to identify the obstacles that prevent obstetric patients from accepting recommended care and highlight the structural reasons behind AMA discharges.

METHODS

Electronic health records of patients admitted to antepartum, peripartum, or postpartum services between 2008 and 2018 who left "AMA" were reviewed. Progress notes from clinicians and social workers were extracted and analyzed. Reasons behind discharge were categorized using qualitative thematic analysis.

RESULTS

Fifty-seven (0.12%) obstetric patients were discharged AMA. Reasons for discharge were organized into two overarching themes: extrinsic (50.9%) and intrinsic (40.4%) obstacles to accepting care. Eleven participants (19.3%) had no reason documented for their discharge. Extrinsic obstacles included childcare, familial responsibilities, and other obligations. Intrinsic obstacles included disagreement with provider regarding medical condition or plan, emotional distress, mistrust or discontent with care team, and substance use.

DISCUSSION

The term "AMA" casts blame on individual patients and fails to represent the systemic barriers to staying in care. Obstetric patients were found to encounter both extrinsic and intrinsic obstacles that led them to leave AMA. Healthcare providers and institutions can implement strategies that ameliorate structural barriers. Partnering with patients to prevent discharges AMA would improve maternal and infant health and progress towards reproductive justice.

Discharge Against Medical Advice: The Causes, Consequences and Possible Corrective Measures

Patients who discharge themselves against medical advice comprise 1%-2% of hospital admissions. Discharge against medical advice (DAMA) is defined as when a hospitalised patient chooses to leave the hospital before the treating medical team recommends discharge. The act of DAMA impacts on both the patient, the staff and their ongoing care. Specifically, this means that the patient's medical problems maybe inadequately assessed or treated. Patients who decide to DAMA tend to be young males, from a lower socioeconomic background and with a history of mental health or substance misuse disorder. DAMA has an associated increased risk of morbidity and mortality. In this review of studies across Western healthcare settings, specifically adult medical inpatients, we will review the evidence and seek to address the causes, consequences and possible corrective measures in this common scenario.

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.

Factors associated with pediatric trauma patients leaving against medical advice

BACKGROUND

Discharge against medical advice (AMA) leads to worse patient outcomes, increased readmission rates, and higher cost. However, AMA discharge has received limited study, particularly in pediatric trauma patients. Our objective was to explore the risk factors associated with leaving AMA in pediatric trauma patients.

METHODS

We performed a retrospective analysis on pediatric trauma patients from 2017 to 2019 using the National Trauma Data Bank. We examined patient characteristics including age (<18 years), race, sex, Glasgow Coma Scale, trauma type, primary payment methods, and Abbreviated Injury Scale. Multiple Logistic Regression models were utilized to determine characteristics associated with leaving AMA.

RESULTS

Of the 224,196 pediatric patients included in the study, 238 left AMA (0.1%). Our study showed black pediatric trauma patients were more likely to leave AMA compared to nonblack patients (OR 1.987, 95% CI 1.501 to 2.631). Patients with self-pay coverage were more likely to leave AMA than those with other insurance coverages (OR 1.759, 95% CI 1.183 to 2.614). Blunt trauma patients were more likely to leave AMA than those with penetrating trauma (OR 1.683, 95% CI 1.216 to 2.330). Every one-year increase in age led to 15% increase in odds of AMA discharge (OR 1.150, 95% CI 1.115 to 1.186). Pediatric patients with severe abdominal injuries were less likely to leave AMA compared to those with mild abdominal injuries (OR 0.271, 95% CI 0.111 to 0.657). Patients with severe lower extremity injury were less likely to leave AMA compared to those with mild lower extremity injuries (OR 0.258, 95% CI 0.127 to 0.522).

CONCLUSION

Race, insurance, injury type, and age play a role in AMA discharge of pediatric trauma patients. Black pediatric trauma patients have ∼ double the AMA discharge rate of nonblack patients. AMA discharge remains relevant, and addressing racial and socioeconomic factors provide opportunities for future interventions in pediatric trauma care.

LEVEL OF EVIDENCE

III, retrospective study.

Leaving emergency departments without completing treatment among First Nations and non-First Nations patients in Alberta: a mixed-methods study

BACKGROUND

Our previous research showed that, in Alberta, Canada, a higher proportion of visits to emergency departments and urgent care centres by First Nations patients ended in the patient leaving without being seen or against medical advice, compared with visits by non-First Nations patients. We sought to analyze whether these differences persisted after controlling for patient demographic and visit characteristics, and to explore reasons for leaving care.

METHODS

We conducted a mixed-methods study, including a population-based retrospective cohort study for the period of April 2012 to March 2017 using provincial administrative data. We used multivariable logistic regression models to control for demographics, visit characteristics, and facility types. We evaluated models for subgroups of visits with pre-selected illnesses. We also conducted qualitative, in-person sharing circles, a focus group, and 1-on-1 telephone interviews with health directors, emergency care providers, and First Nations patients from 2019 to 2022, during which we reviewed the quantitative results of the cohort study and asked participants to comment on them. We descriptively categorized qualitative data related to reasons that First Nations patients leave care.

RESULTS

Our quantitative analysis included 11 686 287 emergency department visits, of which 1 099 424 (9.4%) were by First Nations patients. Visits by First Nations patients were more likely to end with them leaving without being seen or against medical advice than those by non-First Nations patients (odds ratio 1.96, 95% confidence interval 1.94-1.98). Factors such as diagnosis, visit acuity, geography, or patient demographics other than First Nations status did not explain this finding. First Nations status was associated with greater odds of leaving without being seen or against medical advice in 9 of 10 disease categories or specific diagnoses. In our qualitative analysis, 64 participants discussed First Nations patients' experiences of racism, stereotyping, communication issues, transportation barriers, long waits, and being made to wait longer than others as reasons for leaving.

INTERPRETATION

Emergency department visits by First Nations patients were more likely to end with them leaving without being seen or against medical advice than those by non-First Nations patients. As leaving early may delay needed care or interfere with continuity of care, providers and departments should work with local First Nations to develop and adopt strategies to retain First Nations patients in care.

A 15-year review of characteristics and outcomes of patients leaving against medical advice

PURPOSE

Discharging against medical advice can have significant, detrimental effects on burn patient outcomes as well as higher hospital readmission rates and healthcare expenditures. The goal of this study is to identify characteristics of patients who left against medical advice and suggest solutions to mitigate these factors. Data were collected at our American Burn Association verified Burn Unit over a 15-year period.

RESULTS

Between 2007 and 2022, 37 patients were identified as having left against medical advice from the burn unit. The average patient age was 37 years old with 64.9% being male, and 70.2% were identified as having a substance abuse history. The majority (51.4%) had Medicaid or State health insurance, 29.7% had no insurance, and 18.9% had private insurance. The mechanism of injury was most commonly frostbite (43.2%). The majority sustained < 1% total body surface area injuries. Most (83.7%) had social work and/or case management involved during their admission, and all (100%) had their involvement if the length of admission was greater than one day. Over half (59.5%) returned to the ED within 2 weeks with complications.

CONCLUSIONS

This study found that patients discharging against medical advice from the burn unit suffered from smaller injuries, often due to cold related injuries. These patients had comorbid substance abuse or psychiatric histories, and the majority had Medicaid or state health insurance. Recruiting interdisciplinary care members, including social work, psychiatry, and addiction medicine, early may help these patients by encouraging completion of their hospital care and setting up crucial follow-up care.

Characterizing Opioid Withdrawal Experiences and Consequences Among a Community Sample of People Who Use Opioids

BACKGROUND

Opioid withdrawal symptoms are a highly salient and consequential health condition experienced by people who use opioids (PWUO). This study utilized qualitative interviews to explore opioid withdrawal experiences and consequences among PWUO in Los Angeles County, USA.

METHODS

Semi-structured qualitative interviews were conducted with 22 PWUO (aged 27-63 years) between May 2021 and May 2022. Participants self-reported opioid and injection drug use in the last 30 days. We employed an inductive thematic approach to systematically code and synthesize textual interview data.

RESULTS

Participants experienced withdrawal symptoms frequently, with many going to great lengths to avoid them. Withdrawal pain was described as incapacitating and interfered with PWUO's ability to sustain regular employment and ensure stable housing. Avoiding withdrawal was described as influential in driving decisions to continue using opioids. Mechanisms for managing withdrawal included using other substances to the point of sedation. PWUO who transitioned from heroin to fentanyl use revealed more frequent, painful, and faster onset of withdrawal symptoms. Adverse withdrawal experiences and fear of precipitated withdrawal from buprenorphine were barriers to treatment initiation and continuation.

CONCLUSION

Withdrawal symptoms among PWUO increase health risk. Improved strategies to treat opioid withdrawal are urgently needed. Solutions such as safe supply and intentional opioid withdrawal interventions (educational trainings, withdrawal comfort kits) are needed to improve withdrawal management and reduce opioid-related harm.

Opioid Overdose Hospitalizations During COVID-19: The Experience of Pennsylvania

Objective

The COVID-19 pandemic placed extreme burden on hospitals, while opioid overdose is another challenging public health issue. This study aimed to examine the trends and outcomes of opioid overdose hospitalizations in Pennsylvania during 2018 to 2021.

Design

We identified opioid overdose hospitalizations in the state of Pennsylvania using the state-wide hospital discharge database (PHC4) 2018 to 2021. We examined the number of opioid overdose hospitalizations, the corresponding mortality and discharges against medical advice comparing the pre-COVID period (2018-2019) and the COVID period (2020-2021). We also assessed what patient and hospital characteristics were associated with in-hospital death or leaving against medical advice.

Results

A total of 13 446 opioid-related hospitalizations were identified in 2018 to 2021. Compared to pre-pandemic, a higher percentage of cases involving synthetics (17.0%vs 10.3%, P < .0001) were observed during COVID. After controlling for covariates, there was no significant difference in opioid overdose in-hospital deaths in the years 2020 to 2021 compared to 2018 to 2019 (OR = 0.846, 95% CI: 0.71-1.01, P = .065). The COVID period was significantly associated with more leaving against medical advice compared to years 2018 to 2019 (OR = 1.265, 95% CI: 1.11-1.44, P = .0003). Compared to commercial insurance, Medicaid insurance was associated with higher odds of both in-hospital death (OR = 1.383, 95% CI: 1.06-1.81, P = .0176) and leaving against medical advice (OR = 1.903, 95% CI: 1.56-2.33, P < .0001).

Conclusion

There were no substantial changes in the number of overall opioid overdose cases and deaths at hospitals following the outbreak of COVID-19 in Pennsylvania. This observation suggests that an increased number of patients may have succumbed to overdoses outside of hospital settings, possibly due to a higher severity of overdoses. Further, we found that patients were more likely to leave against medical advice during the COVID-19 pandemic.

Discharge against Medical Advice in Eight Tertiary Hospitals in Nigeria: A Prospective Study

BACKGROUND

Discharge against medical advice (DAMA) is when a patient decides to leave the hospital without the consent of the treating physician. It poses serious clinical, ethical, and legal challenges to the individual physician as well as the hospital.

AIM

To determine the prevalence and reasons for DAMA in orthopedic departments of eight tertiary hospitals in Nigeria.

MATERIALS AND METHODS

This was a prospective multi-center descriptive study undertaken in eight tertiary Nigerian hospitals. Consecutive patients who requested for DAMA within 1 year of the study and who consented to participate in the study had face-to-face interviews. Data obtained were documented in a questionnaire and analyzed with SPSS version 20.

RESULTS

The total number of patients studied was 373 with a mean age 34.7 ± 17.5 years. About a quarter of them (25.5%) were between 31 and 40 years. A prevalence rate of 1.9% was found with financial constraint being the predominant reason for DAMA (40.8%). Other reasons include family preference for unorthodox treatment (18.8%) and treatment dissatisfaction (7.0%) among others.

CONCLUSION

The study findings indicate a low DAMA rate when compared to previous studies in this region. It also indicates that financial constraints, family preference for unorthodox care, and low educational status are major drivers of DAMA. Deepened health insurance and other measures that can reduce the prevalence of DAMA should be prioritized to improve treatment outcomes.

Race and Ethnicity and Emergency Department Discharge Against Medical Advice

Importance

Although discharges against medical advice (DAMA) are associated with greater morbidity and mortality, little is known about current racial and ethnic disparities in DAMA from the emergency department (ED) nationally.

Objective

To characterize current patterns of racial and ethnic disparities in rates of ED DAMA.

Design, Setting, and Participants

This cross-sectional study used data from the Nationwide Emergency Department Sample on all hospital ED visits made between January to December 2019 in the US.

Main Outcomes and Measures

The main outcome was odds of ED DAMA for Black and Hispanic patients compared with White patients nationally and in analysis adjusted for sociodemographic factors. Secondary analysis examined hospital-level variation in DAMA rates for Black, Hispanic, and White patients.

Results

The study sample included 33 147 251 visits to 989 hospitals, representing the estimated 143 million ED visits in 2019. The median age of patients was 40 years (IQR, 22-61 years). Overall, 1.6% of ED visits resulted in DAMA. DAMA rates were higher for Black patients (2.1%) compared with Hispanic (1.6%) and White (1.4%) patients, males (1.7%) compared with females (1.5%), those with no insurance (2.8%), those with lower income (<$27 999; 1.9%), and those aged 35 to 49 years (2.2%). DAMA visits were highest at metropolitan teaching hospitals (1.8%) and hospitals that served greater proportions of racial and ethnic minoritized patients (serving ≥57.9%; 2.1%). Odds of DAMA were greater for Black patients (odds ratio [OR], 1.45; 95% CI, 1.31-1.57) and Hispanic patients (OR, 1.16; 95% CI, 1.04-1.29) compared with White patients. After adjusting for sociodemographic characteristics (age, sex, income, and insurance status), the adjusted OR (AOR) for DAMA was lower for Black patients compared with the unadjusted OR (AOR, 1.18; 95% CI, 1.09-1.28) and there was no difference in odds for Hispanic patients (AOR, 1.03; 95% CI, 0.92-1.15) compared with White patients. After additional adjustment for hospital random intercepts, DAMA disparities reversed, with Black and Hispanic patients having lower odds of DAMA compared with White patients (Black patients: AOR, 0.94 [95% CI, 0.90-0.98]; Hispanic patients: AOR, 0.68 [95% CI, 0.63-0.72]). The intraclass correlation in this secondary analysis model was 0.118 (95% CI, 0.104-0.133).

Conclusions and Relevance

This national cross-sectional study found that Black and Hispanic patients had greater odds of ED DAMA than White patients in unadjusted analysis. Disparities were reversed after patient-level and hospital-level risk adjustment, and greater between-hospital than within-hospital variation in DAMA was observed, suggesting that Black and Hispanic patients are more likely to receive care in hospitals with higher DAMA rates. Structural racism may contribute to ED DAMA disparities via unequal allocation of health care resources in hospitals that disproportionately treat racial and ethnic minoritized groups. Monitoring variation in DAMA by race and ethnicity and hospital suggests an opportunity to improve equitable access to health care.

Discharge Against Medical Advice After Hospitalization for Sepsis: Predictors, 30-Day Readmissions, and Outcomes

BACKGROUND

Sepsis is a leading cause of death worldwide. However, little has been known concerning the status of discharge against medical advice (DAMA) in sepsis patients.

OBJECTIVE

To identify factors associated with DAMA, evaluate the association of DAMA with 30-day unplanned readmission and readmitted outcomes after sepsis hospitalization.

METHODS

Using the National Readmission Database, we identified sepsis patients who discharged routinely or DAMA in 2017. Multivariable models were used to identify factors related to DAMA, evaluate the association between DAMA and readmission, and elucidate the relationship between DAMA and outcomes in patients readmitted within 30 days.

RESULTS

Among 1,012,650 sepsis cases, patients with DAMA accounted for 3.88% (n = 39,308). The unplanned 30-day readmission rates in patients who discharged home and DAMA were 13.08% and 27.21%, respectively. Predictors of DAMA in sepsis included Medicaid, diabetes, smoking, drug abuse, alcohol abuse, and psychoses. DAMA was statistically significantly associated with 30-day (odds ratio [OR] 2.18, 95% confidence interval [CI] 2.09-2.28), 60-day (OR 1.98, 95% CI 1.90-2.06), and 90-day (OR 1.88, 95% CI 1.81-1.96) readmission. DAMA is also associated with higher mortality in patients readmitted within 30 days (OR 1.38, 95% CI 1.17-1.63), whereas there were no statistically significant differences in length of stay and costs between patients who discharged home or DAMA.

CONCLUSIONS

DAMA occurs in nearly 3.88% of sepsis patients and is linked to higher readmission and mortality. Those at high risk of DAMA should be early identified to motivate intervention to avoid premature discharges and associated adverse outcomes.

Identifying Risk Factors for AMA Discharge After Injury at a Level 1 Trauma Center

BACKGROUND

Discharging a patient against medical advice (AMA) is used to describe when a patient opts to leave the hospital prior to a physician's recommendation while acknowledging the risks of doing so. There are limited published data that identify risk factors for patients leaving AMA, particularly after trauma.

OBJECTIVE

This study sought to delineate risk factors for AMA discharge after trauma.

METHODS

Trauma patients who left AMA at our ACS-verified level 1 trauma center were retrospectively included (2021-2022) without exclusions. Demographics, clinical/injury data, and outcomes were collected. The primary outcome was patient-stated reason for leaving AMA. Study variables were summarized with descriptive statistics.

RESULTS

During the study period, 262 (8%) of 3218 admitted trauma patients left AMA. Psychiatric disease was present in most patients (n = 197, 75%), including substance abuse (n = 146, 56%), and alcohol abuse (n = 95, 36%). Common patient-stated reasons for leaving AMA were inability/unwillingness to wait for procedure, imaging, or placement (n = 56, 22%); and psychiatric disease other than alcohol/substance abuse (n = 39, 15%). Of the patients who left AMA, 29% (n = 77) returned to the hospital 30 days, and 13% (n = 35) were readmitted.

CONCLUSION

Patients who leave AMA are at elevated risk of returning to the hospital, which incurs additional costs in already resource-constrained systems. These findings provide impetus for early identification of high-risk patients and efforts to decrease wait times for imaging, procedures, and placement. These actions may mitigate AMA discharges and their resultant impact on patients and hospitals.

Factors Associated with Discharge against Medical Advice among Acute Stroke Patients: Analysis of the Nationwide Emergency Department Sample

INTRODUCTION

Patients discharged against medical advice have been shown to have worse outcomes across a host of different conditions. However, risk factors related to increased odds of discharge against medical advice remain understudied in patients who suffer from acute cerebral infarction.

METHODS

We retrospectively examined the 2019 National Emergency Department Sample Database for stroke patients. Multivariable logistic regression was used to estimate associations between patient- and hospital-level factors and the outcome of discharge against medical advice.

RESULTS

Of the 603,623 encounters for acute ischemic stroke, 8,858 (1.5%) were discharged against medical advice. Predictors of discharge against medical advice were lower income quartile and having either Medicaid insurance (odds ratio [OR] 1.32, 95% confidence interval [CI]: 1.10-1.58) or being uninsured (OR 1.28, 95% CI: 1.03-1.58). Vascular comorbidities associated with discharge against medical advice included prior tobacco use (OR 1.60, 95% CI: 1.45-1.78) and coronary artery disease (OR 1.19, 95% CI: 1.04-1.35). Treatment with thrombectomy (OR 0.33, 95% CI: 0.13-0.78) or systemic thrombolysis (OR 0.39, 95% CI: 0.23-0.66) was inversely associated with discharge against medical advice. A high modified Charlson comorbidity index (3+ vs. 0, OR 0.49, 95% CI: 0.42-0.56) was also associated with a lower odds of discharge against medical advice. Presenting to a Northeastern hospital had the highest rate of discharge against medical advice, when compared to other regions (p < 0.05).

CONCLUSIONS

Certain patient-level, socioeconomic, and regional factors were associated with discharge against medical advice following acute stroke. These patient- and systems-level factors warrant heightened attention in order to optimize acute care and secondary prevention strategies.

Who Left the Hospital Against Medical Advice During the Early COVID-19 Pandemic?

Background

Patients leaving against medical advice (AMA) presents a challenge to hospitals as they try to manage costs and improve patient outcomes in an ever-increasing competitive market. Investigating AMA discharges that occurred during the early COVID-19 pandemic presents a unique opportunity to better understand this phenomenon and be better prepared for the future.

Methods

This retrospective analysis of 34 379 patients from a nationwide private healthcare system across 20 states analyzed patients during the early stages of the pandemic who chose to leave against medical advice (AMA) after being admitted with COVID-19 infection and identified several patient characteristics associated with subsequent AMA discharge.

Results

These patient characteristics included being younger than 50; identifying as male sex; having non-white ethnicity, including both Black and Hispanic; having either Medicaid or no health insurance; and the presence of specific medical comorbidities. The identified medical comorbidities were substance abuse, renal failure, deep vein thrombosis, hypertension with heart failure, hypertension with chronic kidney disease stage 5, rheumatoid arthritis or collagen vascular diseases, alcohol abuse, chronic pulmonary disease, hypertensive encephalopathy, and solid tumor.

Conclusion

This study confirms some of the findings in previous studies looking at AMA discharges and has some interesting findings as it relates specifically to the COVID-19-infected patient population. An additional understanding of the factors leading to AMA discharges can help providers and administrators prevent suboptimal discharge outcomes in the future.

Traumatic Brain Injury in Cameroon: A Prospective Observational Study in a Level I Trauma Centre

Background and Objective: About 14 million people will likely suffer a traumatic brain injury (TBI) per year by 2050 in sub-Saharan Africa. Studying TBI characteristics and their relation to outcomes can identify initiatives to improve TBI prevention and care. The objective of this study was to define the features and outcomes of TBI patients seen over a 1-year period in a level-I trauma centre in Cameroon. Materials and Methods: Data on demographics, causes, clinical aspects, and discharge status were collected over a period of 12 months. The Glasgow Outcome Scale-Extended (GOSE) and the Quality-of-Life Questionnaire after Brain Injury (QoLIBRI) were used to evaluate outcomes six months after TBI. Comparisons between two categorical variables were done using Pearson's chi-square test. Results: A total of 160 TBI patients participated in the study. The age group 15-45 years was most represented (78%). Males were more affected (90%). A low educational level was seen in 122 (76%) cases. Road traffic incidents (RTI) (85%), assaults (7.5%), and falls (2.5%) were the main causes of TBI, with professional bike riders being frequently involved (27%). Only 15 patients were transported to the hospital by ambulance, and 14 of these were from a referring hospital. CT-imaging was performed in 78% of cases, and intracranial traumatic abnormalities were identified in 64% of cases. Financial constraints (93%) was the main reason for not performing a CT scan. Forty-six (33%) patients were discharged against medical advice (DAMA) due to financial constraints. Mortality was 14% (22/160) and high in patients with severe TBI (46%). DAMA had poor outcomes with QoLIBRI. Only four patients received post-injury physical therapy services. Conclusions: TBI in Cameroon mainly results from RTIs and commonly affects young adult males. Lack of pre-hospital care, financial constraints limiting both CT scanning and medical care, and a lack of acute physiotherapy services likely influenced care and outcomes adversely.

Financial Toxicity in Emergency General Surgery: Novel Propensity-Matched Outcome Comparison

BACKGROUND

Financial toxicity describes the harmful effect of individual treatment costs and fiscal burdens that have a compounding negative impact on outcomes in surgery. While this phenomenon has been widely studied in surgical oncology, the purpose of this study was to perform a novel exploration of the impact of financial toxicity in emergency general surgery (EGS) patients throughout the US.

STUDY DESIGN

The Nationwide Readmissions Database for January and February 2018 was queried for all EGS patients aged 18 to 65 years. One-to-one propensity matching was performed with and without risk for financial toxicity. The primary outcome was mortality, and the secondary outcomes were venous thromboembolism (VTE), prolonged length of stay (LOS), and readmission within 30 days.

RESULTS

There were 24,154 EGS patients propensity matched. The mortality rate was 0.2% (n = 39), and the rate of VTE was 0.5% (n = 113). With financial toxicity, there was no statistically significant difference for mortality (p = 0.08) or VTE (p = 0.30). The rate of prolonged LOS was 6.2% (n = 824), and the risk was increased with financial toxicity (risk ratio 1.24 [1.12 to 1.37]; p < 0.001). The readmission rate was 7.0% (n = 926), and the risk with financial toxicity was increased (risk ratio 1.21 [1.10 to 1.33]; p < 0.001). The mean count of comorbidities per patient per admission during readmission within 1 year with financial toxicity was 2.1 ± 1.9 versus 1.8 ± 1.7 without (p < 0.001).

CONCLUSIONS

Despite little difference in the rate of mortality or VTE, EGS patients at risk for financial toxicity have an increased risk of readmission and longer LOS. Fewer comorbidities were identified at index admission than during readmission in patients at risk for financial toxicity. Future studies aimed at reducing this compounding effect of financial toxicity and identifying missed comorbidities have the potential to improve EGS outcomes.

How does discharge against medical advice affect risk of mortality and unplanned readmission? A retrospective cohort study set in a large UK medical admissions unit

OBJECTIVES

To assess the frequency of discharge against medical advice (DAMA) in a large UK teaching hospital, explore factors which increase the risk of DAMA and identify how DAMA impacts patient risk of mortality and readmission.

DESIGN

Retrospective cohort study.

SETTING

Large acute teaching hospital in the UK.

PATIENTS

36 683 patients discharged from the acute medical unit of a large UK teaching hospital between 1 January 2012 and 31 December 2016.

MEASUREMENTS

Patients were censored on 1 January 2021. Mortality and 30-day unplanned readmission rates were assessed. Deprivation, age and sex were taken as covariates.

RESULTS

3% of patients discharged against medical advice. These patients were younger (median age (years) (IQR)): planned discharge (PD) 59 (40-77); DAMA 39 (28-51), predominantly of male sex (PD 48%; DAMA 66%) and were of greater social deprivation (in three most deprived quintiles PD 69%; DAMA 84%). DAMA was associated with increased risk of death in patients under the age of 33.3 years (adjusted HR 2.6 (1.2-5.8)) and increased incidence of 30-day readmission (standardised incidence ratio 1.9 (1.5-2.2)).

LIMITATIONS

Readmission to acute hospitals outside of the local health board may have been missed. We were unable to include information regarding comorbidity or severity of presentation.

CONCLUSIONS

These data highlight the vulnerability of younger patients who DAMA, even in a free-at-the-point-of-delivery healthcare setting.

Factors Contributing to Leaving against Medical Advice (LAMA): A Consideration of the Patients' Perspective

It is essential to understand why patients choose to leave the hospital in direct opposition to medical advice. This understanding could help to identify individuals who are at risk of adverse outcomes. In realizing this need, this study aimed to explore the factors contributing to the decision of patients to leave the hospital against medical advice.

MATERIALS AND METHODS

This research employed a descriptive-analytical approach. It was conducted in the city of Hail, Kingdom of Saudi Arabia. The participants were 13 patients who had opted to leave against medical advice from the Emergency Department of the government-subsidized hospitals. The researchers employed both purposive and snowball sampling. In snowball sampling, the researchers used referrals from initial participants to generate additional participants. Moreover, purposive sampling was used to find the individual that would best contribute to addressing the research issue. The data gathering was conducted from April to June 2022.

RESULTS

Five themes emerged based on the accounts of the 13 participant patients. These included (1) health literacy, (2) self-diagnosing, (3) unclear explanations regarding their condition, (4) prolonged waiting times, and (5) communication issues.

CONCLUSION

The factors contributing to patients leaving against medical advice resulted in the five themes mentioned above. While interactions between patients and healthcare professionals may be challenging, pertinent health information must still be handed down clearly to patients.

Discharge against Medical Advice at a Teaching Hospital in Ghana

Introduction

Discharge against medical advice is a global phenomenon where patients voluntarily terminate their consent to medical care before the medical team declares them fit for discharge. The phenomenon adversely affects the delivery of quality health care.

Methods

A retrospective study was conducted at a Ghanaian teaching hospital involving patients who were admitted to the emergency settings within a 2 years period. Data were retrieved from the hospital records and patients discharged against medical advice were identified and studied. Data were cleaned and coded with Excel application and analyzed with SPSS version 23.

Results

A total of 8,565 admissions were made into the ward within the period under review with 210 patients been discharged against medical advice. The prevalence rate was 2.5% with high prevalence seen in male and younger populations. Fractures and head injuries were the commonest conditions for which patients requested to be discharged against medical advice, whilst financial constrains and preference for herbal treatment were the major factors for which patients requested to be discharged against medical advice.

Conclusion

Discharge against medical advice exists and negatively affects the delivery of quality health care in the Ghanaian health sector. Education especially towards at-risk groups such as the younger populations and patients with fractures as well as effective communication between medical team and patients and their families are some proposed measures to reducing the prevalence and negative impacts associated with discharges against medical advice.

Exploring the inner roots of discharge against medical advice (DAMA) in an academic psychiatric hospital: a qualitative study

Background

To explore the roots of DAMA in the Roozbeh Hospital, an academic mental hospital located in Tehran, Iran, the authors conducted a simple qualitative study. Twenty-four in-depth semi-structured interviews with families and eight with patients who were discharged against medical advice were done about the inner motivation and roots of DAMA. The sampling was convenient in trying to reach the maximum variation. The transcribed verbatim of the interviews was coded and categorized inductively by discussion. Ethical consideration was approved by the TUMS ethical committee.

Results

Findings were classified into six categories: The patient’s insistence, miss the beloved one, sense of improvement, outside hospital concerns, dissatisfaction with the quality of medical care, and worries about the hospitalization consequences.

Conclusions

Addressing the inner roots of DAMA can be an opportunity to understand better patients and their families’/relatives’ experiences and feelings. This will give a deep perspective and insight into the subject.

Effect of leaving against medical advice on 30-day infective endocarditis readmissions

BACKGROUND

: The burden of against medical advice (AMA) discharges on the readmission rate of infective endocarditis (IE) patients has been largely ignored.

METHODS

We used the National Readmissions Database, years 2016 to 2019, to identify IE patients and categorized them into those who left AMA (IE AMA) and those who were discharged to home or skilled nursing facility (SNF)/other facility (IE non-AMA). The primary outcome was 30-day all-cause readmissions difference per AMA status.

RESULTS

Of 26,481 patients with IE who met the inclusion criteria, 4,310 (16.3%) left the hospital AMA. IE AMA patients were younger (mean years; 43.7 vs 34.2; p < 0.01) and had a higher prevalence of injection drug use (IDU) (89.4% vs 45.2%; p < 0.01) but fewer comorbidities compared to IE non-AMA. In adjusted analyses, IE AMA had higher hazards for 30-day readmissions compared to IE non-AMA [hazards ratio (HR): 3.1 (2.9 - 3.5); p < 0.01].

CONCLUSION

IE AMA are at increased risk of 30-day readmissions and higher resource utilization at the time of readmission compared to IE non-AMA. Considering the high prevalence of IDU in IE AMA, the role of mental health to curb the burden of IE readmissions is an area of further research.

COVID-19 outbreak impact on discharge against medical advice from the ED: A retrospective study

Background

The COVID-19 pandemic has profoundly affected the habits of patients, as well as its negative effects on human health. The aim of this study is to investigate the factors associated with discharge against medical advice (DAMA) from the emergency department (ED) during the COVID-19 pandemic.

Methods

We conducted a retrospective study of the charts of DAMA cases (pandemic group) between May 1 and October 30, 2021 in a tertiary hospital in Istanbul, Turkey. Our data were compared with DAMA cases between May 1 and October 30, 2019 (pre-pandemic group-control group).

Results

During the pandemic period, DAMA cases increased by 24.5% in the ED compared to the previous period. Compared to the pre-COVID-19 period, among DAMA cases during the COVID-19 period, the rate of those arriving by ambulance (10.9 vs. 18.8%), those with one or more comorbid diseases (8.9 vs. 18.4%), those with a high triage level (4.0 vs. 7.4%), those with health tourism or refugee/asylum insurance (2.9 vs. 6.1%), those with trauma (11.5 vs. 19.9%) or alcohol/drug abuse (2.7 vs. 4.0%) increased significantly (p < 0.001). It was observed that DAMA cases' waiting times for total ED and from the door to doctor decreased during the pandemic period compared to the pre-pandemic period.

Conclusion

During the COVID-19 pandemic period, it was observed that the rate of those with severe disease increased among DAMA cases. Necessary precautions should be taken for all patients, especially seriously ill patients, to feel safe in the hospital and to be treated, and the negative consequences that may develop should be prevented by addressing the concerns of the patients and their relatives.

An Analysis of Epidemiological Factors in Heart Failure Outcomes

Background

Various socioeconomic and demographic factors play a role in determining treatment outcomes across numerous conditions. Different studies have shown that certain demographic factors, such as income status, directly correlate with treatment outcomes. In this study, we analyze the effect of some of these variables, namely, insurance and age, on various endpoints, including length of stay and discharge status, among heart failure patients.

Methodology

The data used in this project were retrieved from the HealthCare Utilization Project. We sorted the data by insurance, age, length of stay, and discharge status. To compare discharge status between different insurance types and age groups, we used Stata to compute odds ratios and 95% confidence intervals. To compare the length of stay among different age groups and insurance types, we conducted an unpaired two-tailed Student’s t-test.

Results

Across all age groups, we found that younger patients with heart failure are more likely to discharge against medical advice compared to older patients. The average length of stay for heart failure patients was the same across all age groups except those 85 and older. Moreover, patients with a lower socioeconomic status, as determined by insurance type, were more likely to discharge against medical advice and less likely to die within hospitals.

Conclusions

Our results speak to the socioeconomic inequalities seen in medicine today. Studies have shown that those with a lower socioeconomic status tend to have worse outcomes across various conditions. Our analysis shows this phenomenon holds true for heart failure as well. In addition, our study helps to determine which groups are at higher risk of making medical decisions, such as discharging against medical advice, that will negatively affect their condition. Identifying these high-risk groups is a key first step to counteracting such behavior.

Hesitancy Regarding Medical Advice on COVID-19: An Emergency Department Perspective

Objective:

The rejection of or non-compliance with treatment arises for different reasons by patients who receive treatment recommendations for various diseases. These states are described by various concepts, such as discharge against medical advice (DAMA) and medication nonadherence (MNA). The basis of the study is to determine how these states have arisen during the coronavirus disease (COVID-19) pandemic.

Method:

The data of this study were collected through standardized interviews with 103 volunteer participants who were diagnosed with COVID-19 at different times and who did not use their prescribed medicine during the pandemic in Turkey. The data obtained in the research were analyzed through the MAXQDA qualitative analysis program.

Results:

As a result of the analysis of the data, 4 main themes and sub-codes have been reached: (1) prescribed medicine, (2) an information source for the COVID-19 period/treatment, (3) the reason for medication nonadherence, and (4) treatment of choice. When the approach toward treatment of patients who were diagnosed with COVID-19 and had started treatment by a physician was evaluated, it was revealed that the nonadherence state emerged as a cycle. In the initial period, nonadherence due to the medication itself was observed. The second period is when the patients recognize their disease and collect information from their environment. Although this period begins before the disease, the search for informative sources intensifies, especially once the diagnosis has been received. In the third period, with their diagnosis and the information they had obtained, patients consider the reasons to use the medication and then decide whether or not to use it. In the fourth period, the patients who will not use antivirals consider other medications, such as anti-flu, anticoagulant, supplements, and nutrition.

Conclusion:

Since a specific treatment protocol has not yet been revealed for COVID-19, a new conceptual framework is required. In the current condition, the state of “hesitation for medical advice” arises for non-hospitalized patients.

Factors Influencing Early Readmission after Discharge against Medical Advice from the Emergency Department

Discharge against medical advice (DAMA) and readmissions are important issues worldwide and can lead to adverse clinical outcomes, financial burden, and exposure of healthcare workers to unintended medical disputes. This study aimed to identify factors that affect readmissions within 48 h after DAMA. This retrospective study utilized the medical records of patients who visited an emergency medical center in Korea for treatment and were readmitted during a 10-year period. Factors predicting readmission after being DAMA were identified using logistic regression analysis. The total number of patients who were DAMA during the study period was 5445, of which 351 were readmitted to the emergency department within 48 h (6.4%). Factors influencing readmission included medical aid (odds ratio (OR) = 2.02, 95% confidence interval (CI): 1.46–2.83) and foreign worker insurance (OR = 2.07, 95% CI: 1.04–4.09) as their health insurance, as well as presenting for readmission by car (OR = 1.41, 95% CI: 1.08–1.82). Healthcare workers should treat patients who are DAMA and those who are likely to return with a more careful and preventative management strategy so that potential clinical, legal, and economic impacts of DAMA can be mitigated.