{"product_id":"patient-harm-in-hospitals-why-a-decade-of-safety-efforts-hasnt-reduced-medical-errors","title":"Patient Harm in Hospitals: Why a Decade of Safety Efforts Hasn't Reduced Medical Errors","description":"\u003cp\u003eIn a landmark study published in the \u003cem\u003eNew England Journal of Medicine\u003c\/em\u003e, researchers found that patient harm from medical care remained alarmingly common in 10 North Carolina hospitals between 2002 and 2007, with \u003cstrong\u003elittle evidence of improvement\u003c\/strong\u003e despite a decade of national patient-safety initiatives. The study reviewed over 2,300 hospital admissions and found 588 cases of harm — approximately \u003cstrong\u003e25 harms per 100 admissions\u003c\/strong\u003e — with no statistically significant reduction in overall harm rates over the six-year period. This research, which validated concerns raised after the Institute of Medicine's groundbreaking 1999 report \"To Err Is Human,\" suggests that substantial work remains to translate known safety interventions into routine hospital practice.\u003c\/p\u003e\n\n\u003ch1\u003ePatient Harm in Hospitals: Why a Decade of Safety Efforts Hasn't Reduced Medical Errors\u003c\/h1\u003e\n\n\u003ch2\u003eTable of Contents\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"#ddn-key-points\"\u003eKey Points\u003c\/a\u003e\u003c\/li\u003e\n\n  \u003cli\u003e\u003ca href=\"#background\"\u003eBackground: The \"To Err Is Human\" Wake-Up Call\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#why-north-carolina\"\u003eWhy Researchers Chose North Carolina\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#study-methods\"\u003eStudy Methods: How the Research Was Conducted\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#hospital-selection\"\u003eHospital Selection and Record Review\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#reliability\"\u003eEnsuring Accuracy: Reliability Checks\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#key-findings\"\u003eKey Findings: The Types and Severity of Patient Harm\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#preventable-harms\"\u003ePreventable Harms: What Could Have Been Avoided\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#changes-over-time\"\u003eChanges Over Time: Did Patient Safety Improve?\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#clinical-implications\"\u003eClinical Implications: What This Means for Patients\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#limitations\"\u003eStudy Limitations: What This Research Couldn't Prove\u003c\/a\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003ca href=\"#recommendations\"\u003eRecommendations for Patients and Families\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"#ddn-faq\"\u003eFrequently Asked Questions\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"#source\"\u003eSource Information\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003c!-- ddn:keypoints:start --\u003e\n\u003ch2 id=\"ddn-key-points\"\u003eKey Points\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eIn a study of 2,341 hospital admissions in North Carolina, 588 harms occurred, about 25 per 100 admissions.\u003c\/li\u003e\n\u003cli\u003eNo statistically significant reduction in harm rates occurred from 2002 to 2007 despite national safety initiatives.\u003c\/li\u003e\n\u003cli\u003e63.1% of harms were rated preventable, including permanent harm, life-threatening events, and deaths.\u003c\/li\u003e\n\u003cli\u003eMost common harms were procedure-related, medication-related, and hospital-acquired infections.\u003c\/li\u003e\n\u003cli\u003ePatients can ask about medications, fall prevention, infection prevention, and pressure ulcer prevention to reduce risk.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- ddn:keypoints:end --\u003e\n\n\n\u003ch2 id=\"background\"\u003eBackground: The \"To Err Is Human\" Wake-Up Call\u003c\/h2\u003e\n\n\u003cp\u003eIn December 1999, the Institute of Medicine (IOM) — now known as the National Academy of Medicine — released a landmark report titled \u003cem\u003eTo Err Is Human\u003c\/em\u003e that shocked the medical community and the public alike. The report estimated that medical errors cause \u003cstrong\u003eup to 98,000 deaths and more than 1 million injuries each year\u003c\/strong\u003e in the United States.\u003c\/p\u003e\n\n\u003cp\u003eThat report triggered an unprecedented response. Accreditation bodies, health insurance payers, nonprofit organizations, government agencies, and hospitals themselves launched major initiatives and invested considerable resources to improve patient safety.\u003c\/p\u003e\n\n\u003cp\u003eSome specific interventions have been proven to reduce errors, including:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003eComputerized provider order-entry systems (digital systems for ordering medications and tests)\u003c\/li\u003e\n  \u003cli\u003eLimiting residents' (doctors in training) work shifts to no more than 16 consecutive hours\u003c\/li\u003e\n  \u003cli\u003eImplementing evidence-based \"care bundles\" — groups of proven practices that improve patient outcomes when performed together\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eHowever, many of these interventions were never rigorously evaluated, and even proven ones were not reliably implemented on a large scale. The central question remained unanswered: \u003cstrong\u003eDid all these efforts actually make patients safer?\u003c\/strong\u003e This study was designed to find out.\u003c\/p\u003e\n\n\u003ch2 id=\"why-north-carolina\"\u003eWhy Researchers Chose North Carolina\u003c\/h2\u003e\n\n\u003cp\u003eThe researchers deliberately selected North Carolina as the study site because it was a state \u003cem\u003elikely\u003c\/em\u003e to show improvement, if improvement was happening anywhere. North Carolina had demonstrated an unusually high level of engagement in patient-safety efforts, including:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eA \u003cstrong\u003e96% rate of hospital enrollment\u003c\/strong\u003e in a previous national improvement campaign, compared with an average of \u003cstrong\u003e78% in other states\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003eExtensive participation in statewide safety training programs\u003c\/li\u003e\n  \u003cli\u003eActive involvement in improvement collaboratives (groups of hospitals working together to share best practices)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eBy choosing a state that was actively engaged in safety work, the researchers ensured that any absence of improvement could not simply be blamed on a lack of effort.\u003c\/p\u003e\n\n\u003ch2 id=\"study-methods\"\u003eStudy Methods: How the Research Was Conducted\u003c\/h2\u003e\n\n\u003cp\u003eThe study applied a tool called the \u003cstrong\u003eGlobal Trigger Tool for Measuring Adverse Events\u003c\/strong\u003e, developed by the Institute for Healthcare Improvement (IHI). This tool is designed to help reviewers efficiently and reliably detect harm in medical records by looking for specific \"triggers\" — clues in a patient's chart that suggest medically induced harm may have occurred.\u003c\/p\u003e\n\n\u003cp\u003eThe trigger tool contains \u003cstrong\u003e52 distinct triggers\u003c\/strong\u003e. For example, the administration of naloxone (a medication used to reverse the effects of an accidental narcotic overdose) would signal a possible medication error. When a reviewer found a trigger, they investigated the chart further to determine whether harm had actually occurred.\u003c\/p\u003e\n\n\u003cp\u003eThe study was retrospective, meaning it looked back at medical records of patients who had already been discharged. It included harms that were present when the patient was admitted (resulting from prior treatment) as well as harms that occurred during the studied hospital stay, to capture the total burden of medical harm.\u003c\/p\u003e\n\n\u003ch2 id=\"hospital-selection\"\u003eHospital Selection and Record Review\u003c\/h2\u003e\n\n\u003cp\u003eAll acute care hospitals in North Carolina listed in the American Hospital Association database were eligible, except those providing exclusively pediatric, rehabilitation, or psychiatric care. Hospitals were grouped by size (small, medium, or large), location (urban or rural), and teaching status (teaching or nonteaching).\u003c\/p\u003e\n\n\u003cp\u003eResearchers invited \u003cstrong\u003e14 hospitals\u003c\/strong\u003e to achieve their goal of \u003cstrong\u003e10 participating hospitals\u003c\/strong\u003e (a 71% participation rate). In each hospital, \u003cstrong\u003e10 randomly selected admissions of at least 24 hours\u003c\/strong\u003e were reviewed for each quarter from January 2002 through December 2007 — a total of \u003cstrong\u003e240 records per hospital\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003cp\u003eA critical design element: records were reviewed in \u003cstrong\u003erandom order\u003c\/strong\u003e (not by admission date), and \u003cstrong\u003edates of hospitalization were concealed from reviewers\u003c\/strong\u003e. This prevented bias — for instance, reviewers unconsciously seeing \"improvement\" because they knew which records came from earlier versus later years.\u003c\/p\u003e\n\n\u003cp\u003eTwo independent teams reviewed the \u003cem\u003esame\u003c\/em\u003e records:\u003c\/p\u003e\n\u003col\u003e\n  \u003cli\u003e\n\u003cstrong\u003eInternal reviewers\u003c\/strong\u003e — hospital-based teams (typically nurses as primary reviewers, with physician backup) who worked in the hospitals where they reviewed charts.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eExternal reviewers\u003c\/strong\u003e — teams hired and supervised by an outside research organization (Battelle), who worked elsewhere.\u003c\/li\u003e\n\u003c\/ol\u003e\n\n\u003cp\u003eBoth teams received identical training through standardized web-based seminars, including didactic sessions, practical review exercises, and debriefing sessions. Each record review was completed in \u003cstrong\u003e20 minutes or less\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003cp\u003eIn the second stage of review, primary reviewers wrote one-to-two paragraph summaries of all suspected harms. Two independent physician reviewers — who were also unaware of hospitalization dates — made final determinations about whether harm occurred, how severe it was, and whether it was preventable.\u003c\/p\u003e\n\n\u003ch2 id=\"reliability\"\u003eEnsuring Accuracy: Reliability Checks\u003c\/h2\u003e\n\n\u003cp\u003eThe researchers tested the reliability of their review process through multiple checks. Reliability is measured using a statistical tool called a \u003cstrong\u003ekappa score\u003c\/strong\u003e, where scores range from 0 (no agreement) to 1 (perfect agreement). Scores above 0.6 are generally considered \"substantial\" agreement, and above 0.8 \"almost perfect\" agreement.\u003c\/p\u003e\n\n\u003cp\u003eInternal review teams performed more reliably, with kappa scores for detecting harm ranging from \u003cstrong\u003e0.64 (substantial) to 0.93 (almost perfect)\u003c\/strong\u003e across seven reliability tests. External reviewers scored lower, with kappa scores ranging from \u003cstrong\u003e0.40 (moderate) to 0.72 (substantial)\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003cp\u003eFor preventability ratings (deciding whether a harm could have been avoided), kappa scores were \u003cstrong\u003e0.83 for internal reviewers\u003c\/strong\u003e and \u003cstrong\u003e0.54 for external reviewers\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003cp\u003eThe researchers also had a team of expert reviewers — highly experienced in using the trigger tool — independently evaluate a \u003cstrong\u003e10% sample of records\u003c\/strong\u003e from each hospital. Internal reviewers agreed with these experts about the presence of harm in \u003cstrong\u003e81% of reviews\u003c\/strong\u003e (kappa 0.49), while external reviewers agreed in \u003cstrong\u003e75% of reviews\u003c\/strong\u003e (kappa 0.32). Internal reviewers also had better agreement with experts on severity ratings (kappa 0.53 vs. 0.26). In short, \u003cstrong\u003ethe internal reviewers produced higher-quality data by every measure\u003c\/strong\u003e — an important detail when interpreting the results.\u003c\/p\u003e\n\n\u003ch2 id=\"key-findings\"\u003eKey Findings: The Types and Severity of Patient Harm\u003c\/h2\u003e\n\n\u003cp\u003eInternal teams completed \u003cstrong\u003e2,341 of 2,400 planned record reviews (97.5%)\u003c\/strong\u003e across the 10 hospitals. They identified a total of \u003cstrong\u003e588 harms\u003c\/strong\u003e during \u003cstrong\u003e10,415 patient-days\u003c\/strong\u003e of observation.\u003c\/p\u003e\n\n\u003cp\u003eThis translates to:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003e56.5 harms per 1,000 patient-days\u003c\/strong\u003e (95% confidence interval [CI], 52.0 to 61.2)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e25.1 harms per 100 admissions\u003c\/strong\u003e (95% CI, 23.1 to 27.2)\u003c\/li\u003e\n  \u003cli\u003eThese harms occurred in \u003cstrong\u003e423 unique patient admissions (18.1%)\u003c\/strong\u003e — meaning nearly 1 in 5 admissions involved some form of medical harm\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eExternal teams completed \u003cstrong\u003e2,374 of 2,400 planned reviews (98.9%)\u003c\/strong\u003e and identified \u003cstrong\u003e429 harms\u003c\/strong\u003e during 10,675 patient-days — a rate of \u003cstrong\u003e40.2 harms per 1,000 patient-days\u003c\/strong\u003e (95% CI, 36.5 to 44.2). External reviewers consistently identified fewer harms than internal reviewers, likely reflecting their lower sensitivity in detecting harm.\u003c\/p\u003e\n\n\u003ch3\u003eWhat Types of Harm Occurred?\u003c\/h3\u003e\n\n\u003cp\u003eThe 588 harms identified by internal reviewers broke down as follows:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eProcedure-related harms: 186\u003c\/strong\u003e (e.g., complications from surgery or invasive procedures)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMedication-related harms: 162\u003c\/strong\u003e (e.g., adverse drug reactions, dosing errors)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eHospital-acquired infections: 87\u003c\/strong\u003e (e.g., urinary tract infections, surgical-site infections, bloodstream infections)\u003c\/li\u003e\n  \u003cli\u003e\u003cstrong\u003eOther therapies: 59\u003c\/strong\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003cstrong\u003eDiagnostic evaluations: 7\u003c\/strong\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003cstrong\u003eFalls: 5\u003c\/strong\u003e\u003c\/li\u003e\n  \u003cli\u003e\u003cstrong\u003eOther causes: 82\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eHow Severe Was the Harm?\u003c\/h3\u003e\n\n\u003cp\u003eHarms were classified using the \u003cstrong\u003eNCC MERP Index\u003c\/strong\u003e (National Coordinating Council for Medication Error Reporting and Prevention), which assigns categories based on severity:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCategory E\u003c\/strong\u003e — Temporary harm requiring intervention: \u003cstrong\u003e245 harms (41.7%)\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCategory F\u003c\/strong\u003e — Temporary harm requiring initial or prolonged hospitalization: \u003cstrong\u003e251 harms (42.7%)\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCategory G\u003c\/strong\u003e — Permanent harm: \u003cstrong\u003e17 harms (2.9%)\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCategory H\u003c\/strong\u003e — Life-threatening harm requiring intervention to sustain life: \u003cstrong\u003e50 harms (8.5%)\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCategory I\u003c\/strong\u003e — Harm causing or contributing to death: \u003cstrong\u003e14 harms (2.4%)\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eOf all harms, \u003cstrong\u003e4.4 per 100 admissions (17.9%)\u003c\/strong\u003e were already present when the patient was admitted (meaning they resulted from prior medical care). The remaining \u003cstrong\u003e20.7 per 100 admissions (82.3%)\u003c\/strong\u003e occurred during the studied hospital stay itself.\u003c\/p\u003e\n\n\u003ch3\u003eBreakdown by Body System\u003c\/h3\u003e\n\n\u003cp\u003eThe study also categorized harms by body system. The largest categories were:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eHospital-acquired infections: 110 total\u003c\/strong\u003e (82 preventable) — including 31 urinary tract infections, 17 surgical-site infections, 11 non-ventilator pneumonias, 10 cases of sepsis\/bacteremia, 9 catheter-related bloodstream infections, and 8 ventilator-associated pneumonias\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOther types of harm: 119 total\u003c\/strong\u003e (73 preventable) — including 35 pressure ulcers (bedsores), 9 allergic reactions, 8 falls, and 8 catheter complications\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSurgical or obstetrical events: 85 total\u003c\/strong\u003e (49 preventable) — including 18 lacerations or organ injuries, 16 unplanned returns to surgery, and 6 postoperative hemorrhages\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eHematologic (blood) system: 53 total\u003c\/strong\u003e (31 preventable) — including 27 hemorrhages and 5 hematomas\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRenal or endocrine system: 52 total\u003c\/strong\u003e (43 preventable) — including 20 hypoglycemia (low blood sugar) events, 6 cases of fluid overload, and 6 cases of acute renal failure\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eCardiovascular system: 45 total\u003c\/strong\u003e (22 preventable) — including 24 hypotension (dangerously low blood pressure) events and 9 arrhythmias\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNeurologic system: 44 total\u003c\/strong\u003e (22 preventable) — including 14 oversedation events and 4 cases of delirium or encephalopathy\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRespiratory system: 41 total\u003c\/strong\u003e (27 preventable) — including 10 cases of acute respiratory failure, 7 pulmonary emboli, and 6 pneumothoraces (collapsed lungs)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eGastrointestinal system: 39 total\u003c\/strong\u003e (15 preventable) — including 12 cases of nausea or vomiting, 7 cases of ileus (bowel blockage), and 5 cases of Clostridium difficile colitis\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 id=\"preventable-harms\"\u003ePreventable Harms: What Could Have Been Avoided\u003c\/h2\u003e\n\n\u003cp\u003eA central question in patient-safety research is: how much of this harm could have been prevented? Physician reviewers rated preventability on a scale from 1 (\"definitely not preventable\") to 4 (\"definitely preventable\").\u003c\/p\u003e\n\n\u003cp\u003eOf the 588 harms identified by internal reviewers, \u003cstrong\u003e364 (63.1%) were rated as preventable\u003c\/strong\u003e. This is a striking finding — the majority of harms were not unavoidable complications but rather events that might have been prevented with better care.\u003c\/p\u003e\n\n\u003cp\u003eAmong the preventable harms specifically:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003e144 were Category E\u003c\/strong\u003e (temporary harm requiring intervention)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e163 were Category F\u003c\/strong\u003e (temporary harm requiring initial or prolonged hospitalization)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e13 caused permanent harm\u003c\/strong\u003e (Category G)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e35 were life-threatening\u003c\/strong\u003e (Category H)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003e9 caused or contributed to a patient's death\u003c\/strong\u003e (Category I)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eIn other words, nearly two-thirds of medical harm was potentially avoidable — and that avoidable harm included permanent injuries, life-threatening events, and deaths.\u003c\/p\u003e\n\n\u003ch2 id=\"changes-over-time\"\u003eChanges Over Time: Did Patient Safety Improve?\u003c\/h2\u003e\n\n\u003cp\u003eThis was the study's central question, and the answer was sobering.\u003c\/p\u003e\n\n\u003ch3\u003eInternal Reviewer Results (Higher-Quality Data)\u003c\/h3\u003e\n\n\u003cp\u003eUsing a statistical model called Poisson regression (a method for analyzing rates over time), the researchers found \u003cstrong\u003eno significant change\u003c\/strong\u003e in the overall rate of harms per 1,000 patient-days (reduction factor, \u003cstrong\u003e0.99 per year; 95% CI, 0.95 to 1.04; P = 0.72\u003c\/strong\u003e).\u003c\/p\u003e\n\n\u003cp\u003eIn plain language: the reduction factor of 0.99 means the harm rate decreased by only about \u003cstrong\u003e1% per year\u003c\/strong\u003e — and the confidence interval includes 1.0, meaning the change was not statistically significant. The rate of harms per 100 admissions likewise showed no significant change.\u003c\/p\u003e\n\n\u003cp\u003eSubanalyses found no significant improvement in:\u003c\/p\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePreventable harms\u003c\/strong\u003e (reduction factor, 0.99; 95% CI, 0.93 to 1.05; P = 0.77)\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eHigher-severity harms\u003c\/strong\u003e (NCC MERP categories F through I)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eExternal Reviewer Results\u003c\/h3\u003e\n\n\u003cp\u003eExternal reviewers also found no significant change in the overall rate of harms per 1,000 patient-days (reduction factor, \u003cstrong\u003e0.97; 95% CI, 0.92 to 1.03; P = 0.33\u003c\/strong\u003e).\u003c\/p\u003e\n\n\u003cp\u003eHowever, there was one encouraging signal: the unadjusted rate of \u003cem\u003epreventable\u003c\/em\u003e harms identified by external reviewers declined from \u003cstrong\u003e23.5 harms per 1,000 patient-days in 2002 to 15.0 harms per 1,000 patient-days in 2007\u003c\/strong\u003e — a reduction factor of 0.91 (95% CI, 0.84 to 0.994; P = 0.04), which was statistically significant.\u003c\/p\u003e\n\n\u003cp\u003eBut this finding did not hold up under rigorous adjustment. When the researchers adjusted for patient demographics, hospital service, and high-risk conditions, the reduction in preventable harms identified by external reviewers \u003cstrong\u003eno longer reached statistical significance\u003c\/strong\u003e (reduction factor, 0.92; 95% CI, 0.85 to 1.00; P = 0.06). The overall external harm rate similarly showed no significant change (reduction factor, 0.98; 95% CI, 0.93 to 1.04; P = 0.47).\u003c\/p\u003e\n\n\u003cp\u003eEqually important: the apparent reduction in preventable harms from external reviews \u003cstrong\u003ewas not supported by the higher-quality internal reviews\u003c\/strong\u003e, which found flat rates. Since the internal review data was more reliable by all measures, the weight of evidence points to no meaningful improvement.\u003c\/p\u003e\n\n\u003ch2 id=\"clinical-implications\"\u003eClinical Implications: What This Means for Patients\u003c\/h2\u003e\n\n\u003cp\u003eThese findings validated the concerns raised by patient-safety experts in both the United States and Europe: \u003cstrong\u003eharm resulting from medical care remains very common\u003c\/strong\u003e, and a decade of safety efforts had not produced measurable improvement at the hospital level.\u003c\/p\u003e\n\n\u003cp\u003eThe study's authors offered several explanations for why improvement was not seen:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eMany safety interventions, while promising, have \u003cstrong\u003enot been rigorously evaluated\u003c\/strong\u003e to prove they work in real-world settings.\u003c\/li\u003e\n  \u003cli\u003eEven proven interventions have \u003cstrong\u003enot been reliably implemented on a large scale\u003c\/strong\u003e — a hospital may adopt a policy on paper but fail to carry it out consistently at the bedside.\u003c\/li\u003e\n  \u003cli\u003ePatient-safety efforts have often focused on specific, narrow targets (e.g., reducing catheter-related infections) rather than \u003cstrong\u003ecomprehensively addressing all types of harm\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe study was powered to detect a substantial reduction in harm (from 40 to 30 harms per 100 admissions). It likely would have detected a large improvement if one had occurred. The fact that none was found — in a state with high engagement in safety work — is deeply concerning.\u003c\/p\u003e\n\n\u003cp\u003eFor patients, the takeaway is that hospital care carries real risks, and those risks did not measurably decrease during the study period. The study found that \u003cstrong\u003eapproximately 1 in 5 admissions involved some form of harm\u003c\/strong\u003e, and \u003cstrong\u003enearly two-thirds of that harm was potentially preventable\u003c\/strong\u003e.\u003c\/p\u003e\n\n\u003ch2 id=\"limitations\"\u003eStudy Limitations: What This Research Couldn't Prove\u003c\/h2\u003e\n\n\u003cp\u003eNo study is perfect, and the authors acknowledged several important limitations:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSingle state:\u003c\/strong\u003e The study was conducted only in North Carolina. While the state was chosen because it was likely to show improvement if any existed, results may not generalize to all U.S. hospitals.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRetrospective design:\u003c\/strong\u003e The study relied on reviewing medical records after the fact. Some harms may not have been documented in the charts, and the reviewers' ability to detect harm depended on the quality and completeness of those records.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003ePossible missed harms:\u003c\/strong\u003e The trigger tool, while validated, does not capture every possible harm. It's possible that some harms were missed, meaning the true rate of harm could be even higher than reported.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eStatistical limitations:\u003c\/strong\u003e The study had 80% power to detect a reduction from 40 to 30 harms per 100 admissions over the study period. Smaller but real improvements might have gone undetected — though the near-flat trends in the internal review data suggest any such improvements were modest at best.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNo direct measurement of safety interventions:\u003c\/strong\u003e The study measured harm rates but did not track which specific safety interventions each hospital implemented. It cannot link specific efforts to outcomes.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2 id=\"recommendations\"\u003eRecommendations for Patients and Families\u003c\/h2\u003e\n\n\u003cp\u003eGiven that medical harm remains common — and much of it is potentially preventable — patients and families should be proactive partners in their own safety. Based on this study and related patient-safety research, here are practical steps to consider:\u003c\/p\u003e\n\n\u003col\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAsk about your medications.\u003c\/strong\u003e Medication-related harms were the second most common type (162 of 588 harms). Ask what each medication is for, the dose, and potential side effects. Ensure hospital staff check your allergy history and that all providers know your complete medication list.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSpeak up about falls.\u003c\/strong\u003e Falls caused harm in this study. Ask for help getting out of bed if you feel weak, keep call buttons within reach, and wear non-slip footwear.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eAsk about infection prevention.\u003c\/strong\u003e Hospital-acquired infections were the third most common harm (87 of 588, with urinary tract infections and surgical-site infections the most frequent). Ask whether catheters are necessary and when they will be removed. Remind staff and visitors to wash their hands. Ask about steps to prevent surgical-site infections if you're having surgery.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eKnow your risk after procedures.\u003c\/strong\u003e Procedure-related harms were the most common type (186 of 588). Ask about the risks of any procedure, what complications might occur, and what symptoms should prompt you to call for help afterward.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eMonitor for low blood sugar.\u003c\/strong\u003e Hypoglycemia (low blood sugar) was a notable preventable harm (19 of 20 such events were rated preventable). If you have diabetes, ensure your blood sugar is monitored regularly, and know the symptoms of hypoglycemia.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eWatch for pressure ulcers (bedsores).\u003c\/strong\u003e These were among the most preventable harms (34 of 35). Ask nursing staff to help you change position regularly if you are confined to bed, and report any areas of persistent redness or skin breakdown.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eDesignate a family advocate.\u003c\/strong\u003e A family member or friend who can be present during rounds, ask questions, and help track information can be a powerful safety net.\u003c\/li\u003e\n\u003c\/ol\u003e\n\n\u003cp\u003eThe study's authors emphasized that \u003cstrong\u003efurther efforts are needed to translate effective safety interventions into routine practice\u003c\/strong\u003e and to monitor health care safety over time. For now, being an informed, engaged patient remains one of the best defenses against medical harm.\u003c\/p\u003e\n\n\u003c!-- ddn:faq:start --\u003e\n\u003ch2 id=\"ddn-faq\"\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003ch3\u003eHow common is medical harm during a hospital stay?\u003c\/h3\u003e\n\u003cp\u003eThe study found 25.1 harms per 100 admissions, meaning about one in five admissions involved some form of harm. Procedure-related harms, medication-related harms, and hospital-acquired infections were the most common types. Some harms were temporary, but others caused permanent injury, life-threatening events, or contributed to death.\u003c\/p\u003e\n\u003ch3\u003eDid patient safety improve over the six years of the study?\u003c\/h3\u003e\n\u003cp\u003eNo significant improvement occurred. Internal reviewers found no significant change in overall harm rates from 2002 to 2007. External reviewers saw a possible reduction in preventable harms, but it was not statistically significant after adjustment. The study concludes that safety efforts did not measurably reduce harm during that period.\u003c\/p\u003e\n\u003ch3\u003eWhat can patients do to reduce their risk of harm?\u003c\/h3\u003e\n\u003cp\u003ePatients can ask about each medication, its dose and side effects, and ensure allergy histories are checked. They can ask for help getting out of bed to avoid falls, ask whether catheters are necessary, monitor blood sugar if diabetic, and request regular position changes to prevent pressure ulcers. Having a family advocate can also help.\u003c\/p\u003e\n\u003ch3\u003eWhat were the limitations of this study?\u003c\/h3\u003e\n\u003cp\u003eThe study was conducted only in North Carolina, so results may not apply everywhere. It relied on medical records, which might have missed some harms. The trigger tool does not capture every possible harm. The study could only detect large reductions in harm, so smaller improvements might have gone unnoticed.\u003c\/p\u003e\n\u003ch3\u003eShould I get a second opinion before hospital treatment if medical errors are common?\u003c\/h3\u003e\n\u003cp\u003eYes, a second opinion can be valuable because hospital care carries real risks. In a study of over 2,300 admissions, about 1 in 5 involved harm, and nearly two-thirds of that harm was potentially preventable. Common harms included medication errors, infections, and procedure-related complications. A second opinion can help you understand your treatment options, confirm the necessity of procedures, and identify steps to reduce your risk. Diagnostic Detectives Network provides independent expert second opinions.\u003c\/p\u003e\n\u003c!-- ddn:faq:end --\u003e\n\n\u003ch2 id=\"source\"\u003eSource Information\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003eOriginal article title:\u003c\/strong\u003e Landrigan NEJM Hospital safety Study 2010\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors:\u003c\/strong\u003e Christopher P. Landrigan, M.D., M.P.H., Gareth J. Parry, Ph.D., Catherine B. Bones, M.S.W., Andrew D. Hackbarth, M.Phil., Donald A. Goldmann, M.D., and Paul J. Sharek, M.D., M.P.H.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJournal:\u003c\/strong\u003e \u003cem\u003eNew England Journal of Medicine\u003c\/em\u003e, 2010; Vol. 363, pages 2124–2134. Published November 25, 2010.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u003c\/strong\u003e The study was funded by the Rx Foundation, which had no role in the design, data collection, analysis, or manuscript approval.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eThis patient-friendly article is based on peer-reviewed research. It is intended to help patients understand the study's findings and is not a substitute for professional medical advice. If you have questions about your care, consult your healthcare provider.\u003c\/em\u003e\u003c\/p\u003e","brand":"DiagnosticDetectives.Com","offers":[{"title":"Default Title","offer_id":47459220160668,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/diagnosticdetectives.com.br\/products\/patient-harm-in-hospitals-why-a-decade-of-safety-efforts-hasnt-reduced-medical-errors","provider":"DiagnosticDetectives.Com","version":"1.0","type":"link"}