metricas
covid
Buscar en
Enfermería Clínica (English Edition)
Toda la web
Inicio Enfermería Clínica (English Edition) Falls in older adults hospitalized in tertiary centers in Colombia. Clinical des...
Journal Information
Vol. 34. Issue 4.
Pages 302-311 (July - August 2024)
Visits
314
Vol. 34. Issue 4.
Pages 302-311 (July - August 2024)
Original Article
Full text access
Falls in older adults hospitalized in tertiary centers in Colombia. Clinical description and complications
Caídas en ancianos hospitalizados en cuatro centros de alta complejidad de Colombia. Descripción clínica y complicaciones
Visits
314
Manuel E. Machado-Duquea,b,c, Lina Camacho-Arteagaa,d,e, Mónica Sabatéa,d,e, Jorge E. Machado-Albab,
Corresponding author
machado@utp.edu.co

Corresponding author.
a Departamento de Farmacología, Terapéutica y Toxicología, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
b Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma SA, Pereira, Risaralda, Colombia
c Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Risaralda, Colombia
d Departamento de Farmacología Clínica, Hospital Universitari Vall d’Hebron, Barcelona, Spain
e Grupo de Investigación en Farmacología Clínica, Vall d’Hebron Institut de Recerca (VHIR), Hospital Universitari Vall d’Hebron, Barcelona, Spain
This item has received
Article information
Abstract
Full Text
Bibliography
Download PDF
Statistics
Tables (4)
Table 1. Sociodemographic variables, admission diagnoses and comorbidities in 249 older patients with in-hospital falls in 4 high-complexity centers.
Table 2. Information related to falls and associated comorbidities in 249 older patients with in-hospital falls in 4 high-complexity centers.
Table 3. Medications used during hospitalization in 249 older patients with in-hospital falls in 4 high-complexity centers.
Table 4. Polypharmacy, frequency of use of drugs with a higher risk of falls and anticholinergic load using the ARS scale for 249 older patients with in-hospital falls in 4 high-complexity centers.
Show moreShow less
Additional material (1)
Abstract
Objective

The incidence of falls in elderly patients in the hospital environment is three times higher than that in the community. The aim was to determine the characteristics of patients who suffered in-hospital falls and their complications.

Methods

This was a cross-sectional study with patients older than 64 years of age, admitted between 2018 and 2020 to four clinics in Colombia who presented a fall during their stay. Clinical data, reasons for the fall, complications and use of drugs with a known risk for causing falls and with an anticholinergic load were reviewed.

Results

A total of 249 patients were included. The mean age was 77.5 ± 7.4 years, and there was a predominance of males (63.9%). The patients were hospitalized mainly for community-acquired pneumonia (12.4%) and heart failure (10.4%). Falls occurred most frequently in hospitalization wards (77.1%) and emergency departments (20.9%). Falls were related to standing alone (34.4%) and on the way to the bathroom (28.9%), with 40.6% (n = 102) of falls resulting in trauma, especially to the head (27.7%); the incidence of fractures was low (3.2%). Ninety-two percent of patients had polypharmacy (≥5 drugs), 88.0% received psychotropic drugs, and 37.3% received drugs with an anticholinergic load ≥3 points.

Conclusions

Hospitalized adults over 65 years of age suffered falls, mainly in hospitalization wards and emergency departments, especially during the process of solitary ambulation. Most had received psychotropic drugs and medications with a high anticholinergic load. These results suggest that it is necessary to improve risk prevention strategies for falls in this population.

Keywords:
Falls
Hospital
Patient safety
Inappropriate prescribing
Pharmacoepidemiology
Resumen
Introducción

La incidencia de caídas en pacientes ancianos dentro del ambiente hospitalario es tres veces superior a las que se presenta en la comunidad. Se planteó el objetivo de determinar las características de pacientes que sufrieron caídas intrahospitalarias y sus complicaciones en cuatro clínicas de Colombia.

Métodos

Estudio transversal con pacientes mayores de 65 años de edad, ingresados entre 2018 y 2020 en cuatro clínicas de Colombia, que presentaron una caída durante su estancia. Se revisaron datos clínicos, motivos de la caída, complicaciones y uso de medicamentos de riesgo conocido para generar caídas y con carga anticolinérgica.

Resultados

Se identificaron 249 pacientes, con edad media de 77,5 ± 7,4 años y predominio masculino (63,9%), internados principalmente por neumonía adquirida en comunidad (12,4%) y falla cardiaca (10,4%); las caídas ocurrieron más frecuentemente en los servicios de hospitalización (77,1%) y urgencias (20,9%). Se relacionaron con procesos de bipedestación en solitario (34,4%), y movilización al baño (28,9%), con traumatismo en 40,6% (n = 102), especialmente de cabeza (27,7%), y baja incidencia de fracturas (3,2%). El 92% de casos tenían polifarmacia ≥5 medicamentos, el 88% recibieron psicofármacos y 37,3% medicamentos con carga anticolinérgica ≥ 3 puntos.

Conclusiones

Los adultos mayores de 65 años internados sufrieron caídas, principalmente en los servicios de hospitalización y urgencias, en especial durante el proceso de deambulación en solitario. La mayoría habían recibido psicofármacos y medicamentos con alta carga anticolinérgica. Estos resultados sugieren que es necesario mejorar las estrategias de prevención de riesgo de este tipo de eventos.

Palabras clave:
Caídas
Hospital
Seguridad del paciente
Prescripciones inapropiadas
Farmacoepidemiología
Full Text

What is known

The incidence of falls in elderly patients in the hospital environment is three times higher than that in the community.

What it contributes

This study identified the frequency of falls in older patients that occurred during their stay in four high-complexity hospitals in Colombia, information previously not available for this population of the country. Some of the outcomes associated with falls were reported, as were the main reasons for falls, an aspect that could be useful for designing strategies focused on their prevention.

Introduction

In Colombia, according to the last census carried out in 2018 by the National Administrative Department of Statistics (DANE), 9.8% of the population was older than 65 years,1 and by 2020, 12.6% of Colombians were expected to be over 60 years of age.2 This is important when recognizing a growing population, with a high prevalence of diseases related to aging, including alterations in nutrition, daily physical activity and frailty.3

Frailty has been defined as a multicausal syndrome characterized by a decrease in strength, endurance and some physiological functions, leading to an increase in vulnerability to greater dependence or death.4 Frailty can lead to complications such as falls, which are a very important geriatric syndromes. It has been estimated that up to 30% of older adults require medical attention for an outpatient fall and that 10% suffer fractures and other complications resulting from falls.5 These complications are explained by the aging process and fragility itself, which implies instability, muscular weakness and physical deconditioning (caused by pain, prolonged rest due to an acute or chronic pathology or a lack of exercise and physical activity), situations that are also related to falls themselves and worse outcomes and survival in these patients.6,7

In addition to the characteristics of aging, the consumption of certain medications, especially psychotropics such as benzodiazepines and opioids, among other that have a confirmed anticholinergic load, for example, antidepressants, antipsychotics, and drugs for urinary problems or gastrointestinal diseases, increase the probability of falls and even fractures because these drugs can cause different neurological alterations, producing dizziness, blurred vision, cognitive dysfunction, ataxia or sleep disturbances.8–10

Studies carried out with older adults outside the hospital environment in Colombia identified an increased probability of falls with hip fracture between (OR: 1.97; 1.19–3.27) for drugs with an anticholinergic load and (OR: 4.49; 2.72–7.42) for opioids.11,12 Additionally, comorbidities such as diabetes mellitus in older patients increase the risk of falls, especially in insulin users because of the risk of developing severe hypoglycemia (OR: 1.27; 95% CI: 1.06–1.52).13 In hypertensive patients, there is a risk of falls from symptomatic hypotension when adding a new antihypertensive, especially in the first 24 h after the change in dose or in the first 21 days after starting a diuretic.14

The incidence of falls in patients within the hospital environment is three times higher than that in the community, and for older people, who are especially vulnerable during hospitalization due to acute illness, the need for permanent monitoring and decreased mobility, up to 25% may suffer injuries that require additional medical attention, as well as other complications described as mild to severe trauma, fractures, wounds and sometimes death.15,16 Multiple risk factors associated with falls in hospitalized patients have been identified that are related to medical and nursing care (quantity and quality of training of the nursing staff); the hospital center; patient age, condition, clinical characteristics, comorbidities, capacity for mobility, and family support; architectural barriers; and medications received during hospitalization.17–19 Currently, in Colombia, there is insufficient evidence regarding the clinical characteristics of patients who suffer falls within the hospital environment and a lack of knowledge of the mechanisms of falls. Therefore, the objective of this study was to identify the characteristics of older adult patients with in-hospital falls and secondary complications in four clinics in Colombia between 2018 and 2020.

Materials and methodsDesign and patients

This was a retrospective cross-sectional study that included patients 65 years of age or older of either sex admitted to hospital care between January 1, 2018, and December 31, 2020, in four different high-complexity hospitals (care of medical specialties and emergency care, surgery, intensive care unit) in southwestern Colombia (Departments of Risaralda, Quindío, Valle del Cauca and Cauca). As of December 2020, the four centers had an availability of 855 beds and treated a total of 530,097 patients over the 4 years.

All the patients who presented a fall during their hospital stay were identified from the mandatory notification registry for falls, which includes sociodemographic information related to the fall, such as the reason, a description of the incident, location and other related data.

Inclusion and exclusion criteria

As an inclusion criterion, in addition to age, all patients with falls who had data in the mandatory notification registry from each hospital center were considered. There were no exclusion criteria. Once a patient was identified, information was obtained from the patient’s medical history and drug dispensing records during hospitalization; this information was collected for all included patients in a dataset, and the confidentiality of the patients was not compromised. By including all patients with reports that met the inclusion, no sampling was used.

A fall was defined as an event in which the person lost his or her balance and hit the floor or some ground or firm object that stopped him or her; a report was made by the nursing staff of the department where said event occurred (Patient Safety Record20). During care within the hospital, the following variables were collected from the medical history:

  • -

    Sociodemographic data: age, sex, city of residence, and hospital;

  • -

    Clinical data: admission diagnosis and comorbidities (International Classification of Diseases version 10 (ICD-10));

  • -

    Fall: date and location of the fall (emergency department, hospital ward (internal medicine and surgical), surgery room, intensive care unit (ICU), radiology and other), reasons for the fall (walking to the bathroom, during a stay in the bathroom, mobilization in a wheelchair, problems with railings/stretcher) being alone or accompanied, associated trauma, need for care, and presence of fracture and other complications;

  • -

    Medications: name and pharmacological group of medications prescribed during hospitalization and frequency and proportion of use, not including antimicrobials;

  • -

    Anticholinergic load: calculated using the anticholinergic risk scale (ARS),21 with 0 points indicating no load, 1 point indicating a low load, 2 points indicating a moderate load, and 3 or more points indicating a high load; and

  • -

    Polypharmacy: five or more simultaneous medications (Supplementary Table 1 shows the load of each medication based on the ARS).

Statistical analysis

The collected variables were recorded in a data file in Microsoft Excel with closed fields, and the information recorded from each of the data sources was validated in search of outliers and inconsistent data, which were confirmed in the original sources. Univariate analyses were performed, and the results are presented a frequencies and proportions for categorical variables and measures of central tendency, position and dispersion for quantitative variables. The statistical package SPSS 28.0 for Windows was used for the analyses.

Bioethics statement

Endorsement from the Bioethics Committee of the Universidad Tecnológica de Pereira was obtained; the study was classified as research “without risk” as established by Resolution 8430 of 1993 of the Ministry of Health of Colombia. The principles of justice, beneficence, nonmaleficence and confidentiality of information established by the Declaration of Helsinki were respected.

Results

During the observation period, 249 patients with a fall within the four different clinics in Colombia in the cities of Pereira (n = 103, 41.4%), Cali (n = 77, 30.9%), Popayán (n = 43, 17.3%) and Armenia (n = 26, 10.4%) met the inclusion criteria. The average age of the patients was 77.5 ± 7.4 years, with a predominance of males (n = 159; 63.9%). In 2018, 11 falls were recorded (4.4%), in 2019 a total of 121 (48.6%) and in 2020 a total of 117 (47.0%).

The main reason for admission of the patients was community-acquired pneumonia, followed by decompensated heart failure, systemic infections such as sepsis, and cancer. Table 1 shows the sociodemographic variables, admission diagnoses and comorbidities of the identified patients. Most of the falls occurred in hospitalization wards (medical and/or surgical), followed by emergency departments. Most falls were related to standing alone, without the help of a family member or nursing staff, walking to the bathroom or being in the bathroom itself. In addition, 102 patients (40.6%) presented identifiable associated trauma, mainly to the head, requiring additional medical attention for more than half of the patients (52.6%), the most frequent being radiographs of the trauma site. Table 2 shows the characteristics associated with falls, reasons for falls, trauma, medical attention, presence of fracture and other complications related to falls.

Table 1.

Sociodemographic variables, admission diagnoses and comorbidities in 249 older patients with in-hospital falls in 4 high-complexity centers.

Variables  n = 249 
Age (years: mean; SD)  77.5 ± 7.4
65−69 years  39  15.5 
70−79 years  108  43 
≥ 80 years  104  41.4 
Male sex  159  63.9 
Admission Diagnoses (ICD-10a   
Community-acquired pneumonia  31  12.4 
Heart failure  26  10.4 
Systemic infection  26  10.4 
Cancer  25  10.0 
COVID-19  21  8.4 
Acute coronary syndrome  20  8.0 
Other admission diagnoses  18  7.2 
Ischemic cerebrovascular event  14  5.6 
Scheduled surgery  14  5.6 
Traumatic fracture  14  5.6 
Urinary tract infection  14  5.6 
Chronic kidney disease  2.8 
Cognitive decline/dementia  2.4 
Major bleeding  2.4 
Diabetic foot  1.6 
Hepatic cirrhosis  1.2 
Comorbidities     
Arterial hypertension  160  64.3 
Type 2 Diabetes mellitus  63  25.3 
Chronic kidney disease  54  21.7 
Chronic obstructive pulmonary disease  52  20.8 
Heart failure  44  17.7 
Coronary heart disease  41  16.5 
Hypothyroidism  34  13.7 
Dementia  16  6.4 
Active cancer  16  6.4 
Stroke  11  4.3 
Dizziness  10  4.0 
Urinary incontinence  2.4 
Parkinson’s disease  1.2 
Epilepsy/Seizures  1.2 
a

International Classification of Diseases 10th Revision.

Table 2.

Information related to falls and associated comorbidities in 249 older patients with in-hospital falls in 4 high-complexity centers.

Variables  n = 249 
Place of the fall     
Hospitalization  192  77.1 
Emergency care  52  20.9 
Critical Care  1.2 
Radiology  0.8 
Reason/Situation associated with the fall 
Standing alone a  113  34.4 
Mobilization to the bathroom  72  28.9 
Being in the bathroom  47  18.9 
Railings Down/Jumping Rails  75  30.1 
Wheelchair  3.6 
Associated trauma  102  40.6 
Head  69  27.7 
Lumbar/Pelvis  20  8.0 
Upper extremity  17  6.8 
Lower extremity  2.8 
No data  11  4.4 
Required additional attention  131  52.6 
X-rays  53  21.3 
Head CT scan  32  12.9 
Specialized medicine assessment  31  12.4 
Wound Healing/Suture  13  5.2 
Other paraclinical  2.0 
Surgery  2.8 
Fracture  3.2 
Hip/femur  1.2 
Distal ulna  1.2 
Ulna + Radius  0.4 
Bone of the nose  0.4 
Other complications     
Face/scalp hematoma  3.6 
Altered state of consciousness  0.8 
Subdural hematoma  0.8 
Hemodynamic instability  0.8 
a

Standing alone was defined as walking or attempting to walk without the accompaniment of a family member or hospital staff.

The drugs most frequently used during hospitalization in the group of patients who fell were antihypertensives (88.0%), proton pump inhibitors (72.2%), nonopioid analgesics and nonsteroidal anti-inflammatory drugs (NSAIDs) (69.9%), lipid-lowering drugs (61.8%), partial (59.4%) and total (53.0%) agonists, antiplatelet drugs (46.8%) and psychotropic drugs such as antipsychotics (30.8%), antidepressants (28.0%) and antiepileptics (25.2%) (Table 3). Of the drugs used, the antimuscarinic load was estimated using the ARS scale (supplementary table), and the mean anticholinergic load score was 2.26 ± 2.25 points. On average, the patients used 11.8 drugs (nonantimicrobial) during the hospital stay, and an estimated 92% had polypharmacy, reaching up to 29.7% with 15 or more medications. A total of 37.3% of the patients had three or more points for anticholinergic load (Table 4).

Table 3.

Medications used during hospitalization in 249 older patients with in-hospital falls in 4 high-complexity centers.

Medication used  (n = 249) 
Cardiovascular use     
Antihypertensives  219  88.0 
ARBa  147  59.0 
ASA diuretics  141  56.6 
Calcium antagonists  123  49.4 
Beta Blockers  119  47.8 
ACEib  62  24.9 
Mineralocorticoid receptor antagonists  52  20.9 
Thiazides  37  14.9 
Alpha 1 and central blockers  35  14.1 
Central origin antihypertensives  35  14.1 
ARNIc  2.0 
Others for cardiovascular use     
Atropine  41  16.5 
Other antiarrhythmics  27  10.8 
Methyldigoxin  3.2 
Lipid-lowering drugs  154  61.8 
Statins  154  61.8 
Fibrates  0.8 
Hematic system and others     
Acetylsalicylic acid  114  45.8 
Clopidogrel and other antiplatelet agents P2Y12i  60  24.1 
Direct oral anticoagulants  14  5.6 
Warfarin  0.4 
Digestive, Respiratory and Endocrine Use     
Digestive     
Proton Pump Inhibitors  181  72.7 
Hyoscine butylbromide  87  34.9 
Anti H2 (ranitidine)  1.6 
Respiratory (at least one)     
Inhaled anticholinergics  99  39.8 
B2 agonists  77  30.9 
Theophylline  1.2 
Antihistamines  38  15.3 
1st generation antihistamines  29  11.6 
2nd generation antihistamines  10  4.0 
Endocrinological     
Levothyroxine  34  13.7 
Some Antidiabetic  57  22.9 
Fast-acting insulin  45  18.1 
Long-acting insulin  27  14.9 
Metformin  20  8.0 
DPP-4 inhibitorsd  10  4.0 
SGLT-2 inhibitorse  2.0 
Sulfonylurea  0.0 
GLP-1 agonistsf  0.0 
Antiparkinsonians     
Pyridostigmine/neostigmine  13  5.2 
Biperiden  1.2 
Levodopa  1.2 
Use in Central Nervous System, Inflammation and Pain     
Some psychotropic drug  219  88.0 
Antiepileptics  75  30.1 
Conventional antipsychotics  63  25.3 
Memantine  20.0 
Atypical antipsychotics  36  14.5 
Amantadine  0.8 
Benzodiazepines and Z Drugs  99  39.6 
Some antidepressant  70  28.0 
Trazodone  42  16.9 
Selective Serotonin Reuptake Inhibitors  34  13.7 
Atypica  1.6 
Tricyclics  1.6 
Selective Serotonin + Norepinephrine Reuptake Inhibitors  0.8 
Some analgesic  211  84.7 
Non-Steroidal Anti-Inflammatory Drugs  174  69.9 
Acetaminophen  110  44.2 
Dipyrone  83  33.3 
Some Opioid  190  76.3 
Partial agonist opioids  148  59.4 
Full agonist opioids  132  53.0 
Inflammation and others     
Systemic corticosteroids  98  39.4 
Conventional DMARDsg  2.8 
Biological DMARDs  0.4 
Anti-gout and muscle relaxants  0.0 
Antimigraine drugs  0.0 
a

ARB: angiotensin receptor blockers.

b

ACEi: Angiotensin-converting enzyme inhibitors.

c

ARNI: angiotensin receptor neprilysin inhibitor.

d

DPP-4 Dipeptidyl Peptidase 4 inhibitors.

e

SGLT-2: Sodium-glucose cotransporter-2 inhibitors.

f

GLP-1: Glucagon-like Peptide-1 Receptor Agonists.

g

DMARD: Disease Modifying Antirheumatic Drugs.

Table 4.

Polypharmacy, frequency of use of drugs with a higher risk of falls and anticholinergic load using the ARS scale for 249 older patients with in-hospital falls in 4 high-complexity centers.

Variables  n = 249 
Quantity of drugs - hospitalization (days, mean; SD)  11.8 ± 1.1
Polypharmacy (5 or more drugs)  229  92 
Drug frequency distribution     
Between 0–4 medications  20 
Between 5–9 medications  78  31.3 
Between 10–14 medications  77  30.9 
Between 15–19 medications  50  20.1 
Between 20 and more medications  24  9.6 
Medications with risk of falls     
Antihypertensives (n, mean; SDb)  2.9 ± 1.9
Use of at least one antihypertensive  219  88 
Antidiabetics (n, mean; SD)  0.4 ± 0.9
Use of at least one antidiabetic  57  22.9 
Antidepressants (n, mean;SD)  0.3 ± 0.6
Use of at least one antidepressant  70  28.1 
Psychotropic drugsa(n, mean;SD)  2.5 ± 0.3
Use of at least one psychotropic drug a  219  88 
Anticholinergic Load (ARS scale)c(n, mean;SD)  2.26 ± 2.25
0 Points (zero risk)  69  27.7 
1 Points (low risk)  53  21.3 
2 Points (moderate risk)  34  13.7 
3 Points or more (high risk)  93  37.3 
a

Psychotropic drugs: anticonvulsants, benzodiazepines, antiparkinsonians, antidepressants, opioids, Z drugs.

b

SD: Standard deviation.

c

ARS: anticholinergic risk scale.

Discussion

This study identified the frequency of falls in older patients that occurred during their stay in four high-complexity hospitals from the south-west of Colombia, information previously not available for this population of the country. Some of the outcomes after falls were reported, as were the main reasons for falls, an aspect that could be useful for designing strategies focused on their prevention.

The mean age of the patients in this study was higher than that of the patients in a study by Lyu et al.,22 in China between 2018 and 2022 that identified that approximately 50% of patients with falls were older than 70 years,but similar to that reported (84.4%) in a study by Mikos et al.,23,24 in Poland, in which the average age was 77.9 years and there was predominance of males. The foregoing highlights the risk conferred by advanced age and the use of medications in the hospital environment.

A study by López et al.,25 in a city in Colombia in 2010 identified falls in the hospital setting among patients of any age, mainly men. Fifty-four percent were over 60 years old, and the main causes of hospital admission in this group were neurological (27.6%), cardiovascular (18.6%) and respiratory problems (13.1%). In the present study, the reasons for admission were different, with community-acquired pneumonia and heart failure, probably because it was an exclusive study in older adults, but also systemic infections, cancer and COVID-19, prevailing as the most frequent causes of hospitalization and complications.26 In addition, SARS-CoV-2 infection became one of the main reasons for hospitalization for older adults during the year 2020, which, added to frailty and the same age-related comorbidities, contributed to being a risk factor for falls during hospitalization.27,28

Lack of accompaniment, either by health care personnel or a family member (37.5% of cases), and moving on wet ground (35%) were common findings in the study by López et al.25 from 2010. Additionally, the most recent relevant report, by Rodríguez et al.,29 in Bogotá, Colombia, during 2021 with adult patients, 65.5% of patients were older than 35 years, 39.4% of falls were associated with getting out of bed, and 18% of falls occurred in the bathroom. The importance of the company of responsible people who help the patient in these two critical moments is highlighted. This finding agrees with the data found in this study, in which 34.4% of falls occurred when getting out of bed alone or moving alone, followed by falls during trips to the bathroom. By identifying the frequency of these situations, effective accompaniment strategies can be generated in hospitals to prevent falls.30

Importantly, in Colombia, there are clear guidelines from the Ministry of Health regarding patient safety and the prevention of falls as well as the evaluation of the quality of nursing care, starting with the correct identification of the patient, maintaining permanent accompaniment for those considered high risk, such as older individuals, and ensuring sufficient staff and adequate transportation.31,32 These situations can fail for different reasons and explain a large number of preventable events through the adoption of support measures by family members and health personnel, effective call systems for nursing centers, easy-to-use fasteners, and floor slip resistance, among other protection strategies.30

The low proportion of fractures (3.2%) that occurred when falling within the hospitals among this cohort of older patients, despite their advanced age and the comorbidities they suffered, is notable because in other reports, they are present in 52.6% of cases, with other trauma accounting for 40%, a finding that may be related to the mechanisms of falls and the possible mitigation measures for the effects of this in each health care center. In addition, these same studies identified deaths associated with this type of fall (1.3% of 9753 patients) in Japan33 and in the subsequent 30 days after the event and up to 21.1% in the following year, according to Newgard et al. in the United States,34 findings that may be influenced by advanced age, being a man and having a higher rate of Charlson comorbidities, in addition to the use of medications with a potential increase in the risk of falls.13,14,35

Importantly, the potential impact of drugs on the mental and alert state can generate and the impact of those that can generate episodes of hypoglycemia or severe hypotension (secondary to changes in dose or the start of a new antihypertensive) can lead to an increased likelihood of falls.13,14 In previous studies in Colombia, there was a higher risk of falls in ambulatory older people who had a high anticholinergic load or were users of benzodiazepines or opioids.11,12 These groups of drugs in particular should be prescribed with great caution to the older patients due to their risks and need for greater monitoring and evaluation by clinicians of possible adverse reactions and risks to which patients are exposed, in addition to preventable situations such as family support, nursing care and circulation barriers affecting the patient and leading to intrahospital falls.11,12,36–38

The most widely used drugs were antihypertensive drugs, a finding that is consistent with the comorbidities of the patients included as well as with studies of patients with in-hospital falls in Iran or Brazil.38,39 The frequency of prescription of drugs described by their risk, such as benzodiazepines, accounting for almost 40%, was higher than that described in the study by Silva et al.,39 i.e., 19.7% in patients with hospital falls, somewhat lower than the 51.9% reported in the Najafpour study38 in Iran, and much higher when compared with the results of studies of falls in outpatients with hip fracture in Colombia in which the prescription of benzodiazepines was observed in 4.2% of cases,11 benzodiazepines are more widely used in hospitalized versus outpatient patients and may be related to falls in older adults.

In this study, 76.3% of the patients received an opioid during hospitalization associated with the fall, a figure very similar to that found in Iran (77.3%)38 but much higher than that reported in Brazil (25.0%) and in the study of falls in outpatients in Colombia.11,39 These findings show the differences in the patterns of drug use between hospitals and countries and the high risk of falls that this group of hospitalized older adults, allowing the opportunity in future studies to identify the risks associated with the drugs for the Colombian population and actions plans to mitigate it. Opioids also increase the total score for anticholinergic load, as measured using the ARS scale, as do antidepressants and antihistamines, among others, reaching an average of 2.26 points in this group of patients with falls, findings that are similar to those reported for Colombia in outpatients who had falls (2.2 points).12 The data that are consistent with this study show the risk to which these patients with hospital falls are exposed, as the level of risk is similar to the anticholinergic load to which they were exposed and could influence the risk of falling. Situations should lead to increasing the processes of care for older patients as well as seeking greater identification of the drugs used and the risks associated with them.40

This study has some limitations. The severity of the pathologies that led to hospitalization was not known. All the clinics or hospitals included were located in the western center of Colombia and were of a private nature; therefore, the conclusions cannot necessarily be interpreted in the same way for hospitals in different regions or countries. Finally, the information available on each fall event was obtained from the registry of each hospital, being retrospective in nature; therefore, it is possible that data were omitted or not available, as well as the possibility of incomplete information limiting the total number of people included. Strengths include the identification of information related to all reports of falls as each hospital as well as the participation of four reference centers in southwestern Colombia and the identification of the use of medications in this population with falls.

Conclusions

With the above findings, it can be concluded that in-hospital falls in this group of older adults are an important problem related to patient safety; falls increase the requirements of care because of the high occurrence of associated traumas. In addition, falls occur more frequently in men of advanced age, suffering from pneumonia, heart failure or systemic infections, who get out of bed alone, wander alone or unaccompanied to the bathroom; however, they were identified with low proportion of fractures. Furthermore, polypharmacy and the use of medications that potentially increase the probability of falling were frequently identified. It is necessary to continue with this line of research to identify other possible risk factors associated with falls, such as the use of medications with hypnotic and sedative or hypotensive effects that can influence the alertness, mental state, balance and posture of adult patients.

Statements & declarations

Competing interests: The authors declare that they have no conflict of interest. This study is part of the development of the doctoral thesis in pharmacology of MEMD at the Universitat Autònoma de Barcelona.

Author contributions: MEMD participated in the conceptualization, drafting, data collection, data analysis, description of results and discussion. LC participated in the supervision, discussion critical revision of the article. MS participated in the supervision, discussion critical revision of the article. JEMA participated in the, supervision, discussion, critical revision of the article, and evaluation of the final version of the manuscript.

Ethics approval: The protocol was approved by the Bioethics Committee of the Universidad Tecnológica de Pereira in the category of “risk-free research” (approval number 02 - 14/12/20). The principles established by the Declaration of Helsinki were respected.

Consent to participate. No applicable, is a retrospective observational study.

Consent to publish: all authors consent to participate.

Data availability statement

Availability of data and material: protocolos.io

Code availability: https://www.protocols.io/private/8E09F5D3226111EE9F2D0A58A9FEAC02.

Funding

Machado-Duque ME has a doctoral scholarship provided by Colfuturo.

Appendix A
Supplementary data

The following is Supplementary data to this article:

References
[1]
DANE, Colombia. Censo Nacional de Población y Vivienda 2018, ¿Cuantos Somos? (2018). Bogotá, Colombia [Accessed 15 Jan 2023]. Available from: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-nacional-de-poblacion-y-vivenda-2018/cuantos-somos.
[2]
Ministerio de Salud y Protección Social, Colombia (2013) Envejecimiento demográfico. Colombia 1951-2020. Dinámica demográfica y estructuras poblacionales. Bogotá, Colombia. MinSalud [Accessed 15 Jan 2023]. Available from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/PS/Envejecimiento-demografico-Colombia-1951-2020.pdf.
[3]
C. Trevisan, D. Rizzuto, S. Maggi, G. Sergi, H.X. Wang, L. Fratiglioni, et al.
Cardiovascular Health Study Collaborative Research Group. Frailty in older adults: evidence for a phenotype.
J Gerontol A Biol Sci Med Sci., 56 (2001), pp. M146-156
[4]
J.E. Morley, B. Vellas, G.A. van Kan, S.D. Anker, J.M. Bauer, R. Bernabei, et al.
Frailty consensus: a call to action.
J Am Med Dir Assoc., 14 (2013), pp. 392-397
[5]
C. Trevisan, D. Rizzuto, S. Maggi, G. Sergi, H.-X. Wang, L. Fratiglioni, et al.
Impact of social network on the risk and consequences of injurious falls in older adults.
J Am Geriatr Soc., 67 (2019), pp. 1851-1858
[6]
D. Patel, R.J. Ackermann.
Issues in geriatric care: falls.
FP Essent., 468 (2018), pp. 18-25
[7]
S.I. Rattan.
Biology of ageing: principles, challenges and perspectives.
Rom J Morphol Embryol., 56 (2015), pp. 1251-1253
[8]
A. Collamati, A.M. Martone, A. Poscia, V. Brandi, M. Celi, E. Marzetti, et al.
Anticholinergic drugs and negative outcomes in the older population: from biological plausibility to clinical evidence.
Aging Clin Exp Res., 28 (2016), pp. 25-35
[9]
Y. Du, I.K. Wolf, H. Knopf.
Association of psychotropic drug use with falls among older adults in Germany. Results of the German Health Interview and Examination Survey for Adults 2008-2011 (DEGS1).
[10]
J. López-Álvarez, J. Sevilla-Llewellyn-Jones, L. Agüera-Ortiz.
Anticholinergic drugs in geriatric psychopharmacology.
Front Neurosci., 13 (2019), pp. 1309
[11]
M.E. Machado-Duque, J.P. Castaño-Montoya, D.A. Medina-Morales, A. Castro-Rodríguez, A. González-Montoya, J.E. Machado-Alba.
Association between the use of benzodiazepines and opioids with the risk of falls and hip fractures in older adults.
Int Psychogeriatr., 30 (2018), pp. 941-946
[12]
M.E. Machado-Duque, J.P. Castaño-Montoya, D.A. Medina-Morales, A. Castro-Rodríguez, A. González-Montoya, J.E. Machado-Alba.
Drugs with anticholinergic potential and risk of falls with hip fracture in the elderly patients: a case-control study.
J Geriatr Psychiatry Neurol., 31 (2018), pp. 63-69
[13]
Y. Yang, X. Hu, Q. Zhang, R. Zou.
Diabetes mellitus and risk of falls in older adults: a systematic review and meta-analysis.
Age Ageing., 45 (2016), pp. 761-767
[14]
H.R. Kahlaee, M.D. Latt, C.R. Schneider.
Association between chronic or acute use of antihypertensive class of medications and falls in older adults. A systematic review and meta-analysis.
Am J Hypertens., 31 (2018), pp. 467-479
[15]
H. Kiyoshi-Teo, K. Northrup-Snyder, D.J. Cohen, N. Dieckmann, S. Stoyles, K. Winters-Stone, et al.
Older hospital inpatients’ fall risk factors, perceptions, and daily activities to prevent falling.
Geriatr Nurs., 40 (2019), pp. 290-295
[16]
M.J. Krauss, B. Evanoff, E. Hitcho, K.E. Ngugi, W.C. Dunagan, I. Fischer, et al.
A case-control study of patient, medication, and care-related risk factors for inpatient falls.
J Gen Intern Med., 20 (2005), pp. 116-122
[17]
D. Everhart, J.R. Schumacher, R.P. Duncan, A.G. Hall, D.F. Neff, R.I. Shorr.
Determinants of hospital fall rate trajectory groups: a longitudinal assessment of nurse staffing and organizational characteristics.
Health Care Manage Rev., 39 (2014), pp. 352-360
[18]
H.J. Perng, Y.L. Chiu, C.H. Chung, S. Kao, W.C. Chien.
Fall and risk factors for veterans and non-veterans inpatients over the age of 65 years: 14 years of long-term data analysis.
[19]
L.Z. Rubenstein.
Falls in older people: epidemiology, risk factors and strategies for prevention.
Age Ageing., 35 (2006), pp. ii37-ii41
[20]
Ministerio de Salud de Colombia. Seguridad del paciente y la atención segura. Guía técnica «Buenas prácticas para la seguridad del paciente en la atención en salud» Bogotá, Colombia. Minsalud; 2018. Available from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/CA/Guia-buenas-practicas-seguridad-paciente.pdf.
[21]
J.L. Rudolph, M.J. Salow, M.C. Angelini, R.E. McGlinchey.
The anticholinergic risk scale and anticholinergic adverse effects in older persons.
Arch Intern Med., 168 (2008), pp. 508-513
[22]
H. Lyu, Y. Dong, W. Zhou, C. Wang, H. Jiang, P. Wang, et al.
Incidence and clinical characteristics of fall-related injuries among older inpatients at a tertiary grade a hospital in Shandong province from 2018 to 2020.
BMC Geriatr., 22 (2022), pp. 632
[23]
M. Mikos, T. Banas, A. Czerw, B. Banas, Ł. Strzępek, M. Curyło.
Hospital inpatient falls across clinical departments.
Int J Environ Res Public Health., 18 (2021), pp. 8167
[24]
S. Ek, D. Rizzuto, L. Fratiglioni, A. Calderón-Larrañaga, K. Johnell, L. Sjöberg.
Risk factors for injurious falls in older adults: the role of sex and length of follow-up.
J Am Geriatr Soc., 67 (2019), pp. 246-253
[25]
M.E. López.
Prevalencia de caídas en pacientes hospitalizados en dos instituciones de salud de Pereira.
Cultura Cuidado Enferm., 7 (2010), pp. 16-23
[26]
J.E. Machado-Alba, L.F. Valladales-Restrepo, M.E. Machado-Duque, A. Gaviria-Mendoza, N. Sánchez-Ramírez, A.F. Usma-Valencia, et al.
Factors associated with admission to the intensive care unit and mortality in patients with COVID-19, Colombia.
[27]
C. Franceschi, P. Garagnani, C. Morsiani, M. Conte, A. Santoro, A. Grignolio, et al.
The continuum of aging and age-related diseases: common mechanisms but different rates.
Front Med (Lausanne)., 5 (2018), pp. 61
[28]
A.M. Mudge, R.E. Hubbard.
Management of frail older people with acute illness.
Intern Med J., 49 (2019), pp. 28-33
[29]
L.F. Rodríguez Ibagué, A.D. Gallego-Ardila, Y.J. Quiroga Ardila, H.I. Molina Eslava.
Caracterización y factores de riesgo de caídas en un hospital de alta complejidad de Bogotá (Colombia).
[30]
J.H. LeLaurin, R.I. Shorr.
Preventing falls in hospitalized patients: state of the science.
Clin Geriatr Med., 35 (2019), pp. 273-283
[31]
Ministerio de Salud de Colombia. Seguridad del paciente - Ministerio de salud y protección social. Bogotá, Colombia. 2022 [Accessed 15 Jan 2023]. Available from: https://www.minsalud.gov.co/salud/CAS/Paginas/seguridad-del-paciente.aspx.
[32]
Ministerio de la Protección Social. Lineamientos para la implementación de la Política de Seguridad del Paciente, Bogotá, D.C. 2008 [Accessed 15 Jan 2023]. Available from: https://www.minsalud.gov.co/Normatividad_Nuevo/Resoluci%C3%B2n%200112%20de%202012%20-%20Documentos%20de%20apoyo%202.pdf.
[33]
K. Kakimoto, K. Shibahashi, M. Oishio, K. Sugiyama, Y. Hamabe.
Mortality of hospital walk-in trauma patients: a multicenter retrospective cohort study.
Acute Med Surg., 9 (2022), pp. e784
[34]
C.D. Newgard, A. Lin, A.B. Caughey, K.J. McConnell, E. Bulger, S. Malveau, et al.
Falls in older adults requiring emergency services: mortality, use of healthcare resources, and prognostication to one year.
West J Emerg Med., 23 (2022), pp. 375-385
[35]
A. Zia, S.B. Kamaruzzaman, M.P. Tan.
The consumption of two or more fall risk-increasing drugs rather than polypharmacy is associated with falls.
Geriatr Gerontol Int., 17 (2017), pp. 463-470
[36]
K. Cardwell, C.M. Hughes, C. Ryan.
The association between anticholinergic medication burden and health related outcomes in the ‘oldest old’: a systematic review of the literature.
Drugs Aging., 32 (2015), pp. 835-848
[37]
S. Cordovilla-Guardia, T.B. Molina, C. Franco-Antonio, E. Santano-Mogena, R. Vilar-López.
Association of benzodiazepines, opioids and tricyclic antidepressants use and falls in trauma patients: conditional effect of age.
[38]
Z. Najafpour, Z. Godarzi, M. Arab, M. Yaseri.
Risk factors for falls in hospital in-patients: a prospective nested case control study.
Int J Health Policy Manag., 8 (2019), pp. 300-306
[39]
A.K.M. Silva, D.C.M.D. Costa, A.M.M. Reis.
Risk factors associated with in-hospital falls reported to the Patient Safety Commitee of a teaching hospital.
[40]
M. Gosch, M. Wörtz, J.A. Nicholas, H.K. Doshi, C. Kammerlander, M. Lechleitner.
Inappropriate prescribing as a predictor for long-term mortality after hip fracture.
Gerontology., 60 (2014), pp. 114-122
Copyright © 2024. Elsevier España, S.L.U.. All rights reserved
Download PDF
Article options
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos

Quizás le interese:
10.1016/j.enfcle.2019.05.001
No mostrar más