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Slow code refers to the practice in a hospital or other medical centre to purposely respond slowly or incompletely to a patient in cardiac arrest, particularly in situations for which cardiopulmonary resuscitation (CPR) is thought to be of no medical benefit by the medical staff.[1] The related term show code refers to the practice of a medical response that is medically futile, but is attempted for the benefit of the patient's family and loved ones. However, the terms are often used interchangeably.[1]

The practices are banned in some jurisdictions.

Background

[edit]

During a patient cardiac arrest in a hospital or other medical facility, staff may be notified via a code blue alert.[2] A medical response team, based on the institution's practices and policies, attends to the emergency.[3] The team will perform life saving measures, including CPR, in order to re-establish both cardiac and pulmonary function.[4]

Cardiopulmonary resuscitation may be withheld in some circumstances. One is if the patient has a do not resuscitate ("no code") order,[5] such as in a living will.[6] Another is if the patient, family member, individual with power of attorney privileges over the patient, or other surrogate decision maker for the patient, makes such a request of the medical staff.[7] Surrogate decision makers are considered in a hierarchy: legal guardians with health care authority, individual with power of attorney for health decisions, spouse, adult children, parents, and adult siblings.[6]

A third situation is one in which the medical staff deems that CPR will be of no clinical benefit to the patient.[7] This includes, among other cases: a patient in severe septic shock and/or multiple organ dysfunction syndrome whose organ damage cannot be contained and reversed any longer, one who has had an acute stroke that has irreversibly damaged vital brain functions needed for life beyond repair (i.e., in the brain stem), or who has advanced and incurable metastatic cancer, and one with severe pneumonia which is no longer treatable with assisted ventilation methods and medication, which all have very little or no realistic probability of success.[8] There is also a low probability of success for patients with severe hypotension that resulted from shock or severe illness or injury, and has not responded to treatment (and which was not induced), severe cases of acute or chronic kidney failure or end stage kidney disease (where dialysis and other renal replacement therapies either are no longer working or were not adequate, and where a transplant either cannot be found or is not an option), end-stage AIDS and its accompanying severe opportunistic illnesses (which are not responding to antiretroviral and drug therapy and/or the white blood cell count is too low), or those who are older than about 70 and/or homebound (where they and/or their guardians, instead of a DNR order, have authorized such half measures and the law permits it).[8]

A patient may request, in an advance directive, to prohibit certain responses, including intubation, chest compression, electrical defibrillation, or ACLS.[9] This is referred to as a partial code or partial resuscitation and such resuscitation "commonly violates the ethical obligation of nonmalfeasance".[10] It is regarded as medically unsound because partial interventions are "often highly traumatic and consistently inefficacious".[11]

Ethics

[edit]

The practice is "controversial from an ethical point of view",[12] as it represents a violation of a patient's trust and right "to be involved in inpatient clinical decisions".[13]

In a position paper, the American Nurses Association states that "slow codes are not ethical".[11]

Policy and legislation

[edit]

Some medical services centres have instituted policy banning the practice.[14]

In 1987, New York became the first state in the United States to effectively end the practice by enacting legislation to require medical staff to honour a patient's refusal of cardiopulmonary resuscitation or a do not resuscitate order, and to grant civil and criminal immunity to those who do so or those who perform CPR without knowledge of the order.[1]

Notes

[edit]

References

[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia

Slow code

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Slow code is a in that advocates for deliberate, craftsmanship-oriented coding practices, emphasizing long-term maintainability, code quality, and developer well-being over expedited production and frequent iterations. Emerging as a to high-pressure methodologies like agile sprints and , it draws inspiration from broader "slow" movements, such as and slow journalism, to promote thoughtful design that reduces and fosters sustainable outcomes. Proponents argue that slow code enables deeper problem-solving, clearer interfaces, and , leading to more robust systems exemplified by innovations like Docker and , which prioritized considered architecture over haste. By allocating time for reflection—akin to Daniel Kahneman's System 2 deliberate thinking—developers can structure code for intuitive comprehension while addressing complex logic, contrasting with "fast" coding's reliance on intuitive but error-prone System 1 processes. This approach critiques hyperactive work cultures that induce update fatigue and brittleness, instead valuing client-perceived worth and emotional rejuvenation through focused, enjoyable coding sessions. While slow code has gained traction in discussions of developer retreats and manifestos since the late 2010s, it faces implicit challenges in metrics-driven environments where is prized, potentially slowing initial delivery but yielding superior longevity and reduced rework. Its defining characteristic lies in rejecting mindless or boilerplate in favor of personalized, relaxing workflows that reclaim coding as an pursuit rather than .

Definition and Practice

Definition

A slow code is a medical practice in which healthcare providers intentionally reduce the pace, intensity, or completeness of resuscitative efforts, such as (CPR) and (ACLS), during a patient's when full intervention is deemed medically futile based on the patient's underlying condition. This approach typically involves token or delayed actions, like initiating compressions at a subdued rate or omitting invasive procedures such as or , to symbolically address the arrest without committing to aggressive measures unlikely to restore meaningful function. In contrast to a full code, which demands immediate, comprehensive, and vigorous response to maximize survival odds, or a do-not-resuscitate (DNR) order that precludes any resuscitation per patient or surrogate directive, a slow code arises in scenarios lacking explicit withholding instructions yet where empirical prognosis is poor. For patients with terminal illnesses, CPR survival to discharge rates are often below 5%, as documented in analyses of in-hospital arrests involving advanced disease states like those in nursing homes or with asystolic rhythms predominant in futility cases. This low efficacy underpins futility assessments guiding slow codes, reflecting a pragmatic accommodation to circumstances where legal or familial expectations mandate some response absent refusal.

Implementation in Clinical Settings

In clinical settings, slow codes typically involve deliberate reductions in the urgency, intensity, or completeness of (CPR) efforts during , such as notifying the code team without haste or performing chest compressions at a suboptimal pace and depth. For instance, team members may walk rather than run to the bedside, delay application of defibrillation pads, or limit the overall duration of interventions to approximately 21 minutes on average, compared to 36 minutes in non-futile cases. These practices contrast with standard (ACLS) protocols, which emphasize rapid response and compressions at 100-120 per minute. Procedural variations occur across institutions and scenarios, including "show codes" or fake codes where compressions are mimicked without full force and medications are discarded rather than administered effectively, creating an appearance of action primarily for observers. Other forms, such as casual codes, feature apathetic execution with omitted or delayed elements like or when deemed unlikely to succeed, while time-limited codes restrict efforts to a brief trial based on immediate clinical judgment. Partial team involvement or selective omissions, such as excluding (reported in 62% of cases) or performing improper compressions (34%), further characterize these adaptations, often resulting in lower resource consumption than full codes due to abbreviated timelines and fewer interventions. Decisions to implement slow codes are frequently influenced by patient-specific factors, including poor from conditions like advanced multi-organ or irreversible in patients already on maximal , particularly in intensive care units where such events comprise about 49% of reported instances. Family presence or requests for , despite clinician assessments of futility, also prompt these measures to mitigate immediate conflict, with attending physicians initiating 84% of cases as a compromise. Empirical surveys indicate prevalence in 69% of responding providers over a year, averaging 1.3 events per participant, underscoring informal institutional tolerances despite lacking formal protocols.

Historical Development

Origins in Medical Practice

The development of (CPR) in 1960, pioneered by William Kouwenhoven, , and James Jude through the integration of external chest compressions and , marked a pivotal shift in medical practice. This innovation quickly disseminated across U.S. hospitals, fostering a default policy of attempting on all patients experiencing , absent explicit contraindications. By the mid-1960s, CPR had become institutionalized, reflecting optimism about its potential to reverse sudden death, yet early clinical observations began revealing its limitations, particularly in cases of underlying terminal conditions or prolonged downtime. As CPR use proliferated into the , accumulating data underscored its poor outcomes for many patients, with out-of-hospital survival to discharge rates frequently ranging from 1% to 5%, and in-hospital rates for non-selected cases often below 15%. These empirical realities clashed with persistent public expectations, amplified by media depictions of dramatic recoveries, and institutional inertia that delayed formal do-not-resuscitate (DNR) protocols until the late and . Physicians encountered mounting tension: evidence-based assessments of futility vied against family insistence on intervention and medico-legal pressures to err toward action, prompting informal adaptations to mitigate perceived harms from aggressive, low-yield efforts. Slow codes arose in this milieu during the as a clandestine practice, involving deliberately paced or abbreviated attempts on patients deemed unlikely to benefit, such as those with advanced or irreversible decline. U.S.-based anecdotal accounts from clinicians described these as workarounds to the era's resuscitation mandate, allowing symbolic compliance with demands while preserving realism about outcomes; by the , terms like "slow code," "show code," or "Hollywood code" entered medical discourse to denote such half-hearted responses for terminally ill individuals. This emergence reflected causal frictions between CPR's technical feasibility and its mismatched application, predating standardized ethical guidelines on futility.

Evolution Through the Late 20th and Early 21st Centuries

In the and , slow codes encountered heightened ethical scrutiny through discussions, as clinicians grappled with universal resuscitation mandates that often conflicted with patient futility assessments. Informal surveys of residents indicated that slow codes affected 5-10% of patients on select medical wards, serving as a covert to policies lacking nuanced end-of-life options. This era saw partial integration into protocols via expanded do-not-resuscitate (DNR) designations, driven by critiques in that exposed the practice's deceptive elements while acknowledging its role in mitigating perceived over-treatment. Concurrently, the U.S. hospice movement's growth—fueled by Medicare expansions and cultural shifts toward —provided alternatives, emphasizing symptom management over aggressive revival efforts and correlating with reduced full-code invocations in terminal cases. By the 2000s, overt endorsement of slow codes waned under institutional emphases on and transparency, yet practitioner surveys documented ongoing implementation, particularly in futile scenarios where full was viewed as harmful. Perspectives from nurses and physicians highlighted persistent application despite ethical debates, with slow codes framed as pragmatic responses to systemic constraints on withholding care. Empirical on CPR further shaped adaptations, including meta-analyses revealing complications like rib fractures in 30-80% of cases and sternal injuries in up to 20%, benefits confined largely to witnessed arrests in healthier populations, thus reinforcing selective restraint in terminal contexts.

Ethical Debates

Arguments Supporting Slow Codes

Proponents of slow codes contend that full resuscitation efforts in cases of medical futility, such as advanced metastatic cancer, offer negligible benefits while inflicting substantial harms on patients, including rib fractures, internal injuries, and prolonged agony without meaningful recovery. Survival to discharge following in-hospital CPR for patients with metastatic cancer stands at approximately 5.6%, underscoring the physiologic futility in such scenarios. These interventions also consume scarce resources, diverting staff and equipment from viable cases, which exacerbates systemic inefficiencies in overburdened healthcare environments. By contrast, slow codes curtail these harms through abbreviated, low-intensity efforts, aligning with a utilitarian prioritization of net welfare by minimizing suffering and resource depletion without entirely forgoing procedural involvement. Slow codes address emotional needs of families confronting inevitable , permitting the perception of "doing something" to assuage and demands for action, thereby fostering a sense of involvement in the care process. Advocates, including clinicians surveyed in contexts, assert that this approach ethically supports family coping mechanisms, particularly when advance directives are absent, without the overt of full codes. For healthcare providers, engaging in slow codes mitigates moral distress arising from futile full resuscitations, where up to 60% of clinicians report psychological strain akin to that experienced in ethically compromising scenarios. This reduction in provider burnout preserves team morale and sustains long-term capacity for compassionate care. In the absence of comprehensive advance care planning, default resuscitation policies compel physiologically ineffective interventions, rendering slow codes a pragmatic form of ethical adjustment to misaligned systemic incentives. Such practices reflect realism about causal limits of CPR in , where aggressive measures fail to alter outcomes but amplify distress; proponents frame them as targeted noncompliance with flawed protocols to honor underlying clinical realities over rigid proceduralism.

Criticisms and Opposing Views

Critics of slow codes argue that the practice inherently involves by simulating resuscitative efforts without genuine intent to revive the patient, thereby misleading family members and staff into believing a full attempt is underway. This violates principles of and patient autonomy, as surrogates are not transparently informed of the limited nature of the intervention, potentially undermining the ethical foundation of medical decision-making. Such deception risks eroding trust in healthcare providers if discovered, as families may perceive the process as performative rather than therapeutic, leading to broader toward medical recommendations in end-of-life scenarios. Ethical analyses emphasize that this paternalistic approach prioritizes clinicians' judgments over honest , contrasting with evidence favoring transparent discussions about and code status, which correlate with higher family satisfaction compared to covert measures. Furthermore, slow codes may foster a by normalizing suboptimal efforts in futile cases, desensitizing teams to clear futility thresholds and conflicting with guidelines that advocate either full or explicit do-not-resuscitate orders to maintain professional integrity. Surveys of clinicians reveal ethical discomfort with these practices, including moral distress from participating in insincere procedures, which could perpetuate avoidance of rigorous communication training essential for addressing family demands effectively.

Relevant Legislation and Guidelines

In the , no federal legislation explicitly prohibits slow codes, defined as deliberately subdued resuscitation efforts, but the Patient Self-Determination Act of 1990 requires healthcare facilities receiving Medicare or funding to inform patients of their rights to execute advance directives, including those specifying resuscitation preferences, thereby promoting transparency in end-of-life decisions over implicit or deceptive practices. The Emergency Medical Treatment and Active Labor Act of 1986 mandates that hospitals provide stabilizing treatment for emergency medical conditions, which may impose liability risks for incomplete resuscitation attempts absent clear directives, though it does not directly address slow codes. State laws vary, with many incorporating uniform health-care decisions acts that enforce advance directives and impose civil penalties for violations, indirectly discouraging non-consensual half-measures by emphasizing documented patient or surrogate consent for withholding CPR. Professional guidelines from major bodies further constrain slow codes. The ' Ethics Manual, updated in 2019, explicitly states that half-hearted resuscitation efforts, or slow codes, should not be performed due to their deceptive nature, advocating instead for open discussions of medical futility and explicit do-not-resuscitate orders. Similarly, ethics opinions, as reflected in analyses from 2012 onward, critique slow codes for undermining trust and recommend policies centered on honest communication rather than symbolic gestures. Litigation involving slow codes remains rare, with no landmark federal precedents establishing liability solely for their use; however, isolated state-level suits from the 1980s, such as those alleging battery or in futile CPR scenarios without family , underscore potential civil risks under battery or wrongful death statutes when is alleged post hoc. In the , end-of-life resuscitation lacks harmonized legislation, with directives deferred to member states, though the European Resuscitation Council's 2021 and 2025 guidelines emphasize patient-centered ethical frameworks that prioritize advance care planning and futility assessments to avoid non-beneficial interventions, implicitly disfavoring deceptive practices like slow codes. In the , the Resuscitation Council UK's DNACPR framework, aligned with policies since the early 2000s, requires decisions on CPR to be based on clinical judgment of benefit versus burden, mandating documented consultations and review processes that enforce explicit withholding over ambiguous efforts, with legal backing from principles of and the Mental Capacity Act 2005. These guidelines, updated periodically, report low rates of resuscitation in futile cases due to robust DNR enforcement, reducing reliance on slow codes compared to U.S. practices.

Hospital Policies and Institutional Responses

In U.S. , explicit policies endorsing slow codes are rare, as they are widely viewed as deceptive and ethically problematic, with many institutions prohibiting overt delays or half-hearted efforts to maintain transparency in . A 2020 cross-sectional survey of clinicians at two academic centers revealed that while 52% considered slow codes ethically justifiable in select futile scenarios, institutional guidelines typically emphasize full-effort unless a formal do-not-resuscitate (DNR) order is in place, leading to implicit operationalization through alternative mechanisms like consultations. This tolerance is evidenced by the prevalence of slow codes in practice, with 69% of respondents reporting participation in at least one such event in the prior year, averaging 1.3 instances per participant, despite no formal policy support. To navigate legal risks from family complaints or audits, hospitals often rely on futility determination processes, including s that review cases where CPR is deemed physiologically or quantitatively futile—defined as near-zero chance of meaningful survival. For instance, one hospital's policy allows withholding CPR offers after review, recommending non-offer in 75% of disputed cases involving advanced directives or poor , thereby reducing reliance on slow codes by preempting futile activations. protocols stress charting clinical rationale, such as irreversible multi-organ failure, to justify abbreviated efforts or , framing them as medically appropriate rather than intentionally slowed. Adoption of these futility frameworks varies, with larger academic medical centers more likely to implement structured committees (e.g., via society guidelines), while community hospitals may default to ad-hoc physician judgments amid resource constraints and heightened family pressures for aggressive care. Shifts toward "allow natural death" (AND) orders in policy represent an institutional adaptation to minimize slow code necessity by reframing non-resuscitation as comfort-focused care, explicitly barring aggressive interventions without ambiguity. Endorsed in guidelines from bodies like the since 2012, AND policies encourage early code status discussions and palliative integration, with some hospitals reporting reduced code activations post-implementation by clarifying expectations upfront. Training modules in these settings prioritize rationale documentation and ethics referral over tacit slowness, though surveys indicate persistent use in high-pressure environments where formal DNRs face resistance. Overall, while overt slow code bans predominate, institutional responses favor procedural safeguards to balance moral distress with accountability, fostering gradual policy evolution toward explicit futility thresholds.

Empirical Evidence and Outcomes

Clinical Effectiveness and Patient Outcomes

Empirical investigations into the clinical effectiveness of slow codes are constrained by the practice's covert nature and ethical concerns, resulting in a paucity of direct, prospective data such as randomized controlled trials. Observational surveys indicate that slow codes are predominantly employed in scenarios deemed medically futile, such as advanced or persistent vegetative states, where the presumption of non-survival aligns with broader in-hospital outcomes in similar cohorts. For instance, to discharge following (CPR) in patients with terminal conditions, including metastatic cancer or multi-organ failure, typically ranges from 0% to 5%, mirroring registry analyses of futile full-code attempts that show negligible long-term benefits. In these contexts, slow codes do not demonstrably alter survival metrics compared to full codes, as both yield near-zero rates of sustained recovery in prognostically dire cases, though no dedicated studies quantify long-term neurological or quality-of-life outcomes specific to slow codes. Patient harms during slow codes appear reduced relative to full resuscitations due to their intentionally attenuated intensity, which omits or delays aggressive interventions like prolonged chest compressions, defibrillation sequences, or invasive vascular access. Full codes in adults carry complication rates of 20-80% for skeletal injuries such as rib fractures and 10-30% for other traumas like pneumothorax or lacerations, whereas slow codes, by design, limit such exposures, potentially mitigating immediate physiological damage despite retaining elements of compressions and airway management that remain invasive. However, quantitative comparative data on complication incidence is absent, with surveys noting that slow codes still inflict trauma, albeit less extensively than guideline-directed full efforts in futile scenarios. Resource utilization favors slow codes through abbreviated durations, often terminating symbolically within minutes rather than extending to the 20-40 minutes typical of full codes pursuing . A survey of clinicians reported mean recommended resuscitation lengths of 21 minutes (SD 14) for futile cases overall, with slow codes inherently shorter to feign effort without escalation, thereby freeing personnel for other duties and averting exhaustive team involvement. No formal analyses exist, but the reduced procedural intensity implies lower and expenditures per event compared to full codes, which in futile settings consume disproportionate resources without proportional outcome gains. Limited observational reviews reinforce that, in terminal patients, slow codes impose no evident detriment to while curtailing procedural burdens.

Impact on Healthcare Providers

Slow codes, defined as deliberately subdued resuscitation efforts in cases of medical futility, are utilized by approximately 69% of surveyed clinicians, with an average of 1.3 instances per provider annually across two academic medical centers. This prevalence persists despite ethical reservations, as 46% of respondents viewed slow codes as unethical, preferring either no or full efforts instead. Participation is higher among nurses and trainees, who report elevated moral distress linked to the deceptive nature of the procedure, contrasting with attending physicians who experience lower distress and more frequently deem it impermissible. The practice often stems from clinicians' intent to mitigate personal guilt associated with withholding intervention, perceived as "abandoning" patients or families, yet quantitative assessments reveal it correlates with heightened rather than reduced distress. In futile code scenarios, 75% of providers reported distress from performing compressions, 80% from overseeing them, and 78% from witnessing, with statistically significant variations by role (P=0.009 for attendings versus others). Such dissonance arises from reconciling futile actions with oaths to "do no harm," fostering internal ethical conflicts that may erode trust in institutional protocols. Among intensive care staff, sustained engagement in slow codes during high-stress periods, such as the , has been associated with altered burnout dynamics, including lower odds of extreme stress (adjusted OR 0.35, 95% CI 0.19–0.58) potentially due to perceived control over futile outcomes. However, this comes at the cost of professional risks, including cynicism from repeated ethical compromises, as evidenced by ongoing debates in critical care literature where slow codes are framed as acts of systemic disobedience rather than therapeutic interventions. Exposure during residencies introduces trainees to resuscitation realism, emphasizing futility recognition over idealistic training models, though it risks normalizing subterfuge in early career .

Alternatives and Reforms

Advance Care Planning and DNR Orders

Advance care planning (ACP) encompasses structured conversations between patients, families, and clinicians to document preferences for life-sustaining treatments, often culminating in (DNR) orders or Orders for Life-Sustaining Treatment (MOLST)/Physician Orders for Life-Sustaining Treatment (POLST) forms. These tools translate patient values into actionable medical directives, preempting scenarios where proves futile or contrary to wishes, such as those prompting slow codes. By establishing orders early—ideally during routine care or upon serious illness diagnosis—ACP reduces reliance on ad hoc decisions during crises, with POLST forms specifically designed to ensure portability and enforceability across care settings. Empirical studies on ACP highlight its in curtailing unnecessary resuscitations, as DNR/POLST orders directly prohibit CPR when deemed unlikely to restore function or align with goals. For example, delays in code status documentation correlate with higher rates of futile attempts, whereas proactive ACP integrates these orders to limit such interventions, benefiting and patient dignity. Facilitated ACP interventions succeed in aligning care with preferences in over 80% of evaluated studies, though completion rates vary by setting (e.g., 1-47% in clinics), underscoring the need for systemic integration to maximize preventive impact. Common barriers to ACP include family resistance stemming from emotional denial or cultural norms favoring aggressive care, alongside clinicians' concerns over relational strain. Evidence-based communication frameworks address these by providers in scripted elicitations of values and discussions, as seen in programs like VitalTalk, which demonstrably boost clinicians' and frequency of goals-of-care documentation. Such mitigates resistance without , fostering consensus through repeated, empathetic dialogues rather than reactive measures. In contrast to slow codes' performative ambiguity, ACP offers a forthright mechanism grounded in and , ensuring directives reflect genuine preferences rather than appeasing surrogates post hoc. This direct approach avoids ethical pitfalls of partial efforts, promoting care continuity and reducing provider moral distress by clarifying boundaries upfront.

Communication and Palliative Care Strategies

The protocol provides a structured framework for clinicians to communicate poor prognoses and treatment futility in end-of-life scenarios, comprising six steps: setting up the interview by ensuring privacy and involving key participants; assessing the patient's perception of their condition; obtaining an invitation to share information; delivering knowledge with a warning statement followed by factual disclosure in ; addressing the patient's emotions with empathetic responses; and outlining a strategy or summary for next steps. This approach facilitates clear discussions that align care with realistic expectations, reducing reliance on ambiguous practices like slow codes by emphasizing for withholding aggressive interventions. Framing discussions around empirical data on CPR outcomes enhances comprehension of futility; for patients with acute medical illnesses, survival to hospital discharge post-CPR stands at 10% to 17%, with even lower rates—approximately 16%—among elderly individuals undergoing in-hospital . Clinicians using such data in SPIKES-guided conversations report improved and acceptance of comfort-focused care over futile efforts, as these statistics underscore the minimal likelihood of meaningful recovery. Integration of palliative care teams supports these communications by prioritizing symptom management—such as pain control and dyspnea relief—and providing dedicated family counseling to process and values clarification, thereby obviating the need for half-hearted resuscitations. Programs embedding palliative consultations early in trajectories have demonstrated reductions in unwanted aggressive interventions, including a decrease in transfers for non-beneficial care among residents. Hospice referrals prompted by effective dialogue shift focus to home-based symptom palliation, averting terminal codes through proactive withdrawal from curative intent; studies indicate such transitions correlate with diminished end-of-life hospitalizations and futile treatments, enhancing alignment with patient preferences. Within value-based care frameworks, these strategies yield systemic benefits by curbing expenditures on non-beneficial resuscitations; palliative integration has been associated with lower overall costs through minimized aggressive interventions at life's end, without compromising . For instance, early palliative involvement reduces futile spending by prioritizing evidence-based symptom relief over low-yield procedures, contributing to broader healthcare efficiency amid escalating terminal care expenses.

Recent Developments and Ongoing Controversies

Key Publications and Debates Post-2020

In 2025, a STAT News article argued that performing simulated or "slow" cardiopulmonary resuscitation (CPR) in medically futile cases can be ethically justified as a response to legal or familial pressures compelling inappropriate interventions, framing it as a pragmatic alternative to outright refusal. This perspective aligned with a journal piece by Wasserman, which defended slow codes as a form of ethical disobedience when do-not-resuscitate (DNR) orders cannot be instituted despite clear futility, emphasizing clinician moral agency over rigid policy adherence. Counterarguments appeared in a February 2025 analysis, positing slow codes as indicative of flawed DNR policies that default to CPR without sufficient advance care planning, leading to clinician moral distress and ethical inconsistencies. Survey data from October 2024 revealed divided public views, with 52% of respondents deeming slow codes ethical in futile scenarios, 19% preferring , and 28% favoring full efforts, highlighting tensions between perceived and transparency. Amid COVID-19-era surges in end-of-life futility—exacerbated by constraints and delayed decisions—2024 PubMed-indexed studies noted rising slow code reports as ad-hoc responses to policy gaps, though ethicists increasingly critiqued them for eroding trust via deception. A November 2024 urged precise definitions of slow code variants (e.g., delayed vs. incomplete efforts) to enable rigorous ethical , arguing fuels unsubstantiated debates. The 2025 Ethics Guidelines explicitly cautioned against slow codes, citing associated physical risks, patient indignity, and negligible success rates in restoring circulation, reinforcing calls for upfront futility discussions over performative measures. These publications reflect an ongoing shift toward viewing slow codes not merely as clinical shortcuts but as symptoms of systemic transparency deficits, with proponents advocating limited permissibility in resource-poor or legally constrained contexts, while opponents prioritize honest communication to mitigate moral hazards for providers.

Implications for Future Practice

Emerging AI models, such as those leveraging to predict post-cardiac arrest mortality and neurological outcomes, hold potential to standardize assessments of resuscitation futility by providing data-driven probabilities that reduce subjective gray areas in clinical . For instance, algorithms have demonstrated superior accuracy over traditional scores in forecasting poor outcomes upon hospital arrival, enabling policies that integrate these tools into (ACO) frameworks to align fiscal incentives with evidence-based limits on non-beneficial interventions. In ACOs, where gross Medicare spending reductions of approximately $270 per beneficiary annually have been observed through coordinated care models, such AI integration could further emphasize pragmatic by quantifying the low yield of prolonged codes in terminal cases. Training reforms incorporating mandatory simulation-based curricula for end-of-life scenarios are projected to mitigate provider over-optimism, as studies indicate simulation-trained teams sustain skills and achieve superior performance in real-world compared to lecture-only approaches. Data from high-fidelity simulations show enhanced knowledge, self-confidence, and competency in managing futile resuscitations, with repeated standardized patient exercises yielding measurable improvements in attitudes toward limiting aggressive care. These evidence-driven protocols could evolve into institutional standards, fostering teams better equipped to navigate slow code dilemmas through realistic outcome simulations rather than idealistic defaults. The tension between patient autonomy ideals and pragmatic necessities in end-of-life decisions is likely to persist, absent shifts toward default DNR policies, as current trends prioritize over presumptive non-intervention despite evidence of emotional and resource burdens from mismatched expectations. Ethical frameworks continue to evolve toward respecting preferences, yet without universal mechanisms to address beyond rational models—such as dynamics or cognitive biases—slow codes may endure as a compromise, underscoring the need for ongoing data-informed policy debates to balance dignity with systemic realism.

References

  1. https://bettersoftware.uk/2024/09/11/the-slow-code-movement-reclaiming-the-joy-of-coding/
  2. https://medium.com/@hannes.rollin/the-slow-code-manifesto-d0a72c35fba2
  3. https://robinwinslow.uk/slow-software-development
  4. https://8thlight.com/insights/coding-fast-and-coding-slow
  5. https://philippe.bourgau.net/a-slow-code-retreat-to-be-less-in-a-hurry/
  6. https://journalofethics.ama-assn.org/article/why-not-slow-code/2012-10
  7. https://pmc.ncbi.nlm.nih.gov/articles/PMC8729118/
  8. https://www.jpsmjournal.com/article/S0885-3924%2820%2930932-5/fulltext
  9. https://www.nejm.org/doi/full/10.1056/NEJM199802123380712
  10. https://www.mypcnow.org/fast-fact/cpr-survival-in-the-hospital-setting/
  11. https://compassionandchoices.org/resource/cpr-what-you-need-to-know/
  12. https://pmc.ncbi.nlm.nih.gov/articles/PMC12015792/
  13. https://www.sciencedirect.com/science/article/pii/S2666520423001509
  14. https://pubmed.ncbi.nlm.nih.gov/29991317/
  15. https://cpr.heart.org/en/resources/history-of-cpr
  16. https://www.ajconline.org/article/S0002-9149%2803%2900977-9/pdf
  17. https://www.resuscitationjournal.com/article/S0300-9572%2804%2900512-X/abstract
  18. https://www.nejm.org/doi/full/10.1056/NEJMoa023053
  19. https://www.sciencedirect.com/science/article/pii/S0196064405822838
  20. https://pmc.ncbi.nlm.nih.gov/articles/PMC12015803/
  21. https://pubmed.ncbi.nlm.nih.gov/39440459/
  22. https://cdn.mdedge.com/files/s3fs-public/jfp-archived-issues/1988-volume_26-27/JFP_1988-10_v27_i4_the-slow-code-a-hidden-conflict.pdf
  23. https://onlinelibrary.wiley.com/doi/10.1111/bioe.13367
  24. https://www.statnews.com/2025/08/07/slow-code-fake-cpr-ethics-research/
  25. https://integrishealth.org/resources/on-your-health/2021/april/a-brief-history-of-hospice-care-and-palliative-care
  26. https://journals.sagepub.com/doi/10.1177/0969733007084164
  27. https://pmc.ncbi.nlm.nih.gov/articles/PMC11458643/
  28. https://pubmed.ncbi.nlm.nih.gov/28122604/
  29. https://www.physiciansweekly.com/post/understanding-the-arguments-against-slow-codes
  30. https://www.ncbi.nlm.nih.gov/books/NBK538297/
  31. https://www.cms.gov/medicare/regulations-guidance/legislation/emergency-medical-treatment-labor-act
  32. https://www.ncbi.nlm.nih.gov/books/NBK539798/
  33. https://www.acpjournals.org/doi/10.7326/M18-2160
  34. https://pubmed.ncbi.nlm.nih.gov/33773832/
  35. https://www.resus.org.uk/additional-guidance/guidance-dnacpr-and-cpr-decisions
  36. https://www.resus.org.uk/public-resource/cpr-decisions-and-dnacpr
  37. https://www.jpsmjournal.com/article/S0885-3924(20)30932-5/fulltext
  38. https://pubmed.ncbi.nlm.nih.gov/25457115/
  39. https://www.sciencedirect.com/science/article/abs/pii/S0883944114004109
  40. https://pubmed.ncbi.nlm.nih.gov/33136221/
  41. https://www.nursingworld.org/globalassets/docs/ana/nursing-care-and-do-not-resuscitate-dnr-and-allow-natural-death-decisions.pdf
  42. https://ojin.nursingworld.org/table-of-contents/volume-26-2021/number-1-january-2021/nursing-care-and-dnr-decisions/
  43. https://bmcmedethics.biomedcentral.com/articles/10.1186/s12910-025-01224-2
  44. https://onlinelibrary.wiley.com/doi/10.1111/bioe.13396
  45. https://pmc.ncbi.nlm.nih.gov/articles/PMC4552960/
  46. https://www.researchgate.net/publication/354915295_The_Coronavirus_Disease_2019_Pandemic_Impacts_Burnout_Syndrome_Differently_Among_Multiprofessional_Critical_Care_Clinicians-A_Longitudinal_Survey_Study
  47. https://onlinelibrary.wiley.com/doi/10.1111/bioe.13409
  48. https://pmc.ncbi.nlm.nih.gov/articles/PMC7983414/
  49. https://pmc.ncbi.nlm.nih.gov/articles/PMC10996838/
  50. https://www.jamda.com/article/S1525-8610%2824%2900053-7/fulltext
  51. https://journals.sagepub.com/doi/full/10.1089/jpm.2011.0321
  52. https://www.mdpi.com/1660-4601/19/15/9521
  53. https://journals.sagepub.com/doi/10.1177/10499091241298677
  54. https://pmc.ncbi.nlm.nih.gov/articles/PMC9686086/
  55. https://pmc.ncbi.nlm.nih.gov/articles/PMC7249389/
  56. https://agsjournals.onlinelibrary.wiley.com/doi/10.1111/j.1532-5415.2008.02093.x
  57. https://vitaltalk.org/research/
  58. https://pmc.ncbi.nlm.nih.gov/articles/PMC11267240/
  59. https://jamanetwork.com/journals/jama/fullarticle/2763952
  60. https://pubmed.ncbi.nlm.nih.gov/10964998/
  61. https://ubccpd.ca/sites/default/files/documents/SPIKES_Protocol_for_Breaking_Bad_News.pdf
  62. https://www.aafp.org/pubs/afp/issues/2018/0715/p99.html
  63. https://www.nejm.org/doi/full/10.1056/NEJM199402243300807
  64. https://geripal.org/outcomes-of-in-hospital-cpr-not-as-rosy/
  65. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2839326
  66. https://pmc.ncbi.nlm.nih.gov/articles/PMC9945016/
  67. https://pmc.ncbi.nlm.nih.gov/articles/PMC5557503/
  68. https://liebertpub.com/doi/full/10.1089/jpm.2021.0241
  69. https://journals.lww.com/md-journal/fulltext/2015/09040/home_based_hospice_care_reduces_end_of_life.33.aspx
  70. https://www.sciencedirect.com/science/article/pii/S0885392410005324
  71. https://apm.amegroups.org/article/view/122521/html
  72. https://pubmed.ncbi.nlm.nih.gov/24950518/
  73. https://schaeffer.usc.edu/research/advancing-the-economics-of-palliative-care-the-value-to-individuals-and-families-organizations-and-society/
  74. https://bmcpalliatcare.biomedcentral.com/articles/10.1186/s12904-024-01516-1
  75. https://pmc.ncbi.nlm.nih.gov/articles/PMC12015798/
  76. https://pubmed.ncbi.nlm.nih.gov/39360393/
  77. https://www.researchgate.net/publication/385982332_Cracking_the_code_of_the_slow_code_A_taxonomy_of_slow_code_practices_and_their_clinical_and_ethical_implications
  78. https://www.ahajournals.org/doi/10.1161/CIR.0000000000001371
  79. https://www.pulmccm.org/p/ethicists-proclaim-slow-codes-to
  80. https://pmc.ncbi.nlm.nih.gov/articles/PMC10906512/
  81. https://hub.jhu.edu/2025/07/02/ai-predicts-patients-likely-to-die-of-sudden-cardiac-arrest/
  82. https://www.healthcareitnews.com/news/cardiac-arrest-ai-predicts-outcomes
  83. https://www.norc.org/research/library/impact-of-next-generation-accountable-care-organizations-on-medicare-costs.html
  84. https://pmc.ncbi.nlm.nih.gov/articles/PMC11224887/
  85. https://www.sciencedirect.com/science/article/pii/S0260691718303381
  86. https://journals.sagepub.com/doi/10.1177/10499091241236921
  87. https://www.jpsmjournal.com/article/S0885-3924%2825%2900419-1/fulltext
  88. https://journalofethics.ama-assn.org/article/do-not-resuscitate-orders-call-reform/2001-07
  89. https://www.researchgate.net/publication/6975477_End-of-life_decision_making_is_more_than_rational
  90. https://warwick.ac.uk/fac/sci/med/research/hscience/wrn/news/evolution_of_medical_ethics.pdf
  91. https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2023.1094038/full
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