Medications and Patient Characteristics Associated With Falling in the Hospital

Inpatient diabetes management

Diabetes mellitus is currently approaching epidemic proportions and disproportionately affects patients in the hospital setting. In the United States, individuals living with diabetes represent over 17 million emergency department visits and 8 million admissions annually. The management of these patients in the hospital setting is complex and differs considerably from the outpatient setting. All patients with hyperglycemia should be screened for diabetes, as in-hospital hyperglycemia portends a greater risk for morbidity, mortality, admission to an intensive care unit, and increased hospital length of stay. However, the definition of hyperglycemia, glycemic targets, and strategies to manage hyperglycemia in the inpatient setting can vary greatly depending on the population considered. Moreover, the presenting illness, changing nutritional status, and concurrent hospital medications often necessitate thoughtful consideration to adjustments of home diabetes regimens and/or the initiation of new insulin doses. This review article will examine core concepts and emerging new literature surrounding inpatient diabetes management, including glycemic targets, insulin dosing strategies, noninsulin medications, new diabetes technologies, inpatient diabetes management teams, and discharge planning strategies, to optimize patient safety and satisfaction, clinical outcomes, and even hospital financial health.

A novel multistep approach to standardize the reported risk factors for in-hospital falls: a proof-of-concept study

Background

Uncertainty and inconsistency in terminology regarding the risk factors (RFs) for in-hospital falls are present in the literature.

Objective

(1) To perform a literature review to identify the fall RFs among hospitalized adults; (2) to link the found RFs to the corresponding categories of international health classifications to reduce the heterogeneity of their definitions; (3) to perform a meta-analysis on the risk categories to identify the significant RFs; (4) to refine the final list of significant categories to avoid redundancies.

Methods

Four databases were investigated. We included observational studies assessing patients who had experienced in-hospital falls. Two independent reviewers performed the inclusion and extrapolation process and evaluated the methodological quality of the included studies. RFs were grouped into categories according to three health classifications (ICF, ICD-10, and ATC). Meta-analyses were performed to obtain an overall pooled odds ratio for each RF. Finally, protective RFs or redundant RFs across different classifications were excluded.

Results

Thirty-six articles were included in the meta-analysis. One thousand one hundred and eleven RFs were identified; 616 were linked to ICF classification, 450 to ICD-10, and 260 to ATC. The meta-analyses and subsequent refinement of the categories yielded 53 significant RFs. Overall, the initial number of RFs was reduced by about 21 times.

Conclusion

We identified 53 significant RF categories for in-hospital falls. These results provide proof of concept of the feasibility and validity of the proposed methodology. The list of significant RFs can be used as a template to build more accurate measurement instruments to predict in-hospital falls.

Sodium-Glucose Cotransporter 2 Inhibitors Should Be Avoided for the Inpatient Management of Hyperglycemia

OBJECTIVE

Hyperglycemia in patients with type 2 diabetes mellitus is frequently encountered in the hospital setting. The recent guidelines for the management of inpatient hyperglycemia have included the use of dipeptidyl peptidase 4 inhibitors as an alternative to standard insulin therapy in select patients. This raises the question of the inpatient use of sodium-glucose cotransporter 2 inhibitors (SGLT2i), which have gained increasing popularity in the outpatient setting because of beneficial cardiovascular and renal outcomes. This article describes the risks associated with the use of SGLT2i for the management of inpatient hyperglycemia.

METHODS

A literature review was performed using PubMed and Google Scholar for studies assessing the inpatient use of SGLT2i. Search terms included "SGLT2 inhibitors," "euglycemic DKA," "inpatient hyperglycemia," "DPP4 inhibitors," "hypovolemia," and "urinary tract infections." Studies not written in English were excluded. Forty-eight articles were included.

RESULTS

Review of the literature showed significant safety concerns with the use of SGLT2i for the inpatient management of hyperglycemia. Hospitalized patients treated with SGLT2i were at increased risk of diabetic ketoacidosis, euglycemic diabetic ketoacidosis, hypovolemia, and urinary tract infections. When compared head-to-head, SGLT2i were not more effective for inpatient glycemic control than dipeptidyl peptidase 4 inhibitors and did not reduce insulin requirements when used in combination with insulin. Although SGLT2i can be considered for the treatment of congestive heart failure, they should be started close to or at the time of discharge.

CONCLUSION

Although SGLT2i are a preferred pharmacotherapy class for the outpatient management of type 2 diabetes mellitus, there are considerable safety concerns when using them in a hospital setting, and avoidance is recommended.

Timed Up and Go test score and factors associated with a moderate-to-high risk of future falls in patients scheduled for vascular surgeries-a cross-sectional study

Introduction

Peripheral artery and aorta diseases contribute to complex consequences in various areas, as well as increasing physical and mental discomfort resulting from the progressive limitation or loss of functional capacities, in particular in relation to walking, decreased endurance during physical exercise, a drop in effort tolerance, and pain suffered by patients. Limitations in functional capacities also increase the risk of falls. Most falls take place during the performance of simple activities. The aim of this study was to investigate factors associated with moderate-to-high risk of future falls in patients scheduled for vascular surgeries.

Methods

This cross-sectional study included patients aged 33-87, scheduled for vascular surgeries. Based on the Timed Up and Go test, patients were categorized as having a moderate-to-high (≥ 10 s) or low risk of falls. Multiple logistic regression was carried out to assess the relationship between fall-risk levels and independent sociodemographic and clinical variables.

Results

Forty-eight percent of patients were categorized as having a moderate-to-high risk of future falls. Females (OR = 1.67; Cl95%: 1.07-2.60) and patients who suffered from hypertension (OR = 2.54; Cl95%: 1.19-5.40) were associated with a moderate-to-high risk of future falls. The Barthel Index correlated negatively (OR = 0.69; Cl95%: 0.59-0.80), while age correlated positively with fall-risk levels (OR = 1.07; Cl95%: 1.02-1.12).

Conclusion

Factors that may be associated with a moderate-to-high risk of future falls in patients scheduled for vascular surgeries include age, female gender, hypertension, and the Barthel Index.

Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting

OBJECTIVE

Fall prevention is important in many hospitals. Current fall-risk-screening tools have limited predictive accuracy specifically for older inpatients. Their administration can be time-consuming. A reliable and easy-to-administer tool is desirable to identify older inpatients at higher fall risk. We aimed to develop and internally validate a prognostic prediction model for inpatient falls for older patients.

DESIGN

Retrospective analysis of a large cohort drawn from hospital electronic health record data.

SETTING AND PARTICIPANTS

Older patients (≥70 years) admitted to a university medical center (2016 until 2021).

METHODS

The outcome was an inpatient fall (≥24 hours of admission). Two prediction models were developed using regularized logistic regression in 5 imputed data sets: one model without predictors indicating missing values (Model-without) and one model with these additional predictors indicating missing values (Model-with). We internally validated our whole model development strategy using 10-fold stratified cross-validation. The models were evaluated using discrimination (area under the receiver operating characteristic curve) and calibration (plot assessment). We determined whether the areas under the receiver operating characteristic curves (AUCs) of the models were significantly different using DeLong test.

RESULTS

Our data set included 21,286 admissions. In total, 470 (2.2%) had a fall after 24 hours of admission. The Model-without had 12 predictors and Model-with 13, of which 4 were indicators of missing values. The AUCs of the Model-without and Model-with were 0.676 (95% CI 0.646-0.707) and 0.695 (95% CI 0.667-0.724). The AUCs between both models were significantly different (P = .013). Calibration was good for both models.

CONCLUSIONS AND IMPLICATIONS

Both the Model-with and Model-without indicators of missing values showed good calibration and fair discrimination, where the Model-with performed better. Our models showed competitive performance to well-established fall-risk-screening tools, and they have the advantage of being based on routinely collected data. This may substantially reduce the burden on nurses, compared with nonautomatic fall-risk-screening tools.

Falls leading to fracture and nutrition among older adults: a case-control study

OBJECTIVES

Injurious falls, especially those leading to bone fracture, are major causes of death and disability among older people. Our aim was to measure the association of nutritional factors and physical activity with falls leading to fracture among Iranian older adults.

METHODS

This is the second phase of a previously published case-control study on 300 patients and 590 controls.

RESULTS

In addition to the socio-economic factors that were reported before, our results revealed that consumption of fish, vegetables, fruits, and nuts reduced the risk of falling, whereas consumption of cheese, red meat, and sweets raised the risk of falls among the participants.

CONCLUSION

The results of our study suggested that diets rich in fish meat fruits and vegetables should be encouraged in the everyday life of older adults. We suggest health officials to take these important results into consideration when planning protective measures.

Falls at the Geriatric Hospital Ward in the Context of Risk Factors of Falling Detected in a Comprehensive Geriatric Assessment

It is only by knowing the most common causes of falls in the hospital that appropriate and targeted fall prevention measures can be implemented. This study aimed to assess the frequency of falls in a hospital geriatrics ward and the circumstances in which they occurred and evaluate the parameters of the comprehensive geriatric assessment (CGA) correlating with falls. We considered medical, functional, and nutritional factors associated with falls and built multivariable logistic regression analysis models. A total of 416 (median age 82 (IQR 77-86) years, 77.4% women) hospitalizations in the geriatrics ward were analyzed within 8 months. We compared the results of a CGA (including health, psycho-physical abilities, nutritional status, risk of falls, frailty syndrome, etc.) in patients who fell and did not fall. Fourteen falls (3.3% of patients) were registered; the rate was 4.4 falls per 1000 patient days. They most often occurred in the patient's room while changing position. Falls happened more frequently among people who were more disabled, had multimorbidity, were taking more medications (certain classes of drugs in particular), had Parkinson's disease and diabetes, reported falls in the last year, and were diagnosed with orthostatic hypotension. Logistic regression determined the significant independent association between in-hospital falls and a history of falls in the previous 12 months, orthostatic hypotension, Parkinson's disease, and taking statins, benzodiazepines, and insulin. Analysis of the registered falls that occurred in the hospital ward allowed for an analysis of the circumstances in which they occurred and helped to identify people at high risk of falling in a hospital, which can guide appropriate intervention and act as an indicator of good hospital care.

Risk of Falls Associated with Long-Acting Benzodiazepines or Tricyclic Antidepressants Use in Community-Dwelling Older Adults: A Nationwide Population-Based Case–Crossover Study

Background: Falls are common in older adults and increase in recent years. This study aimed to examine the risk of falls associated with long-acting benzodiazepines (BZDs) or tricyclic antidepressants (TCAs) use in community-dwelling older adults. Methods: A nationwide population-based case–crossover design was used. We screened information on 6,370,275 fall or fall fracture cases among community-dwelling elderly patients from the database of the national health insurance data warehouse in South Korea. We extracted the data of elderly patients who visited the hospital for a fall and were diagnosed with the first fall or fall fracture after prescription of long-acting BZDs (n = 1805) or TCAs (n = 554). The study used conditional logistic regression analysis to analyze the associations and stratified analysis by gender and age group to control for their confounding effects. Results: Risk of falls or fall fractures increased by more than two times after taking long-acting BZDs (odds ratio [OR] = 2.16; 95% confidence interval [CI] = 1.85–2.52) or TCAs (OR = 2.13; 95% CI = 1.62–2.83). The longer the prescription period of both, the higher the risk of falls or fall fractures was (≥49 days for long-acting BZDs vs. ≥ 56 days for TCAs). Conclusions: Long-acting BZDs or TCAs should be avoided or prescribed for a shorter duration based on these adverse effects. Health care providers should focus on fall prevention practices in older adults who take such drugs.

Hospital performance comparison of inpatient fall rates; the impact of risk adjusting for patient-related factors: a multicentre cross-sectional survey

BACKGROUND

Comparing inpatient fall rates can serve as a benchmark for quality improvement. To improve the comparability of performance between hospitals, adjustments for patient-related fall risk factors that are not modifiable by care are recommended. Thereafter, the remaining variability in risk-adjusted fall rates can be attributed to differences in quality of care provided by a hospital. Research on risk-adjusted fall rates and their impact on hospital comparisons is currently sparse. Therefore, the aims of this study were to develop an inpatient fall risk adjustment model based on patient-related fall risk factors, and to analyse the impact of applying this model on comparisons of inpatient fall rates in acute care hospitals in Switzerland.

METHODS

Data on inpatient falls in Swiss acute care hospitals were collected on one day in 2017, 2018 and 2019, as part of an annual multicentre cross-sectional survey. After excluding maternity and outpatient wards, all inpatients older than 18 years were included. Two-level logistic regression models were used to construct unadjusted and risk-adjusted caterpillar plots to compare inter-hospital variability in inpatient fall rates.

RESULTS

One hundred thirty eight hospitals and 35,998 patients were included in the analysis. Risk adjustment showed that the following factors were associated with a higher risk of falling: increasing care dependency (to a great extent care dependent, odds ratio 3.43, 95% confidence interval 2.78-4.23), a fall in the last 12 months (OR 2.14, CI 1.89-2.42), the intake of sedative and or psychotropic medications (OR 1.74, CI 1.54-1.98), mental and behavioural disorders (OR 1.55, CI 1.36-1.77) and higher age (OR 1.01, CI 1.01-1.02). With odds ratios between 1.26 and 0.67, eight further ICD-10 diagnosis groups were included. Female sex (OR 0.78, CI 0.70-0.88) and postoperative patients (OR 0.83, CI 0.73-0.95) were associated with a lower risk of falling. Unadjusted caterpillar plots identified 20 low- and 3 high-performing hospitals. After risk adjustment, 2 low-performing hospitals remained.

CONCLUSIONS

Risk adjustment of inpatient fall rates could reduce misclassification of hospital performance and enables a fairer basis for decision-making and quality improvement measures. Patient-related fall risk factors such as care dependency, history of falls and cognitive impairment should be routinely assessed.

Which factors influence the prevalence of institution-acquired falls? Results from an international, multi-center, cross-sectional survey

PURPOSE

Falls are a highly prevalent problem in hospitals and nursing homes with serious negative consequences such as injuries, increased care dependency, or even death. The aim of this study was to provide a comprehensive insight into institution-acquired fall (IAF) prevalence and risk factors for IAF in a large sample of hospital patients and nursing home residents among five different countries.

DESIGN

This study reports the outcome of a secondary data analysis of cross-sectional data collected in Austria, Switzerland, the Netherlands, Turkey, and the United Kingdom in 2017 and 2018. These data include 58,319 datapoints from hospital patients and nursing home residents.

METHODS

Descriptive statistics, statistical tests, logistic regression, and generalized estimating equation (GEE) models were used to analyze the data.

FINDINGS

IAF prevalence in hospitals and nursing homes differed significantly between the countries. Turkey (7.7%) had the highest IAF prevalence rate for hospitals, and Switzerland (15.8%) had the highest IAF prevalence rate for nursing homes. In hospitals, our model revealed that IAF prevalence was associated with country, age, care dependency, number of medical diagnoses, surgery in the last two weeks, and fall history factors. In nursing homes, care dependency, diseases of the nervous system, and fall history were identified as significant risk factors for IAF prevalence.

CONCLUSIONS

This large-scale study reveals that the most important IAF risk factor is an existing history of falls, independent of the setting. Whether a previous fall has occurred within the last 12 months is a simple question that should be included on every (nursing) assessment at the time of patient or resident admission. Our results guide the development of tailored prevention programs for persons at risk of falling in hospitals and nursing homes.

Testing of Reliability and Validity of the Peninsula Health Falls Risk Assessment Tool (PHFRAT) in Acute Care: A Cross-Sectional Study

Purpose

The purpose of this study was to evaluate the validity and reliability of the Peninsula Health Fall Risk Assessment Tool (PHFRAT) in acute care in various medical specialties. The assessment has not been previously studied in acute care.

Methods

The cross-sectional study was conducted in a large acute care hospital system. The retrospective medical data were used to explore the validity of the PHFRAT. The data consisted of all adult inpatients (≥ 18 age) evaluated by the PHFRAT during 2014-2016 (n = 22,700). The Poisson regression, logistic regression, sensitivity, specificity, and the area under the ROC curve were evaluated. The data for the reliability study were collected in 2016 in twelve units by evaluating the patients (n = 359) twice using the PHFRAT. The prospective data were analyzed using Fleiss' Kappa, and the content validity index was also counted.

Results

In the somatic data, the change in the risk level from low risk to high risk increases the probability of falls by a factor of 2.8 (p<0.01). When the cut-off point was 9, sensitivity and specificity were 72% and 59%, respectively, and the area under the ROC curve was 0.67 (p<0.01). Validity varied by medical specialties. In the validity analysis, it was not possible to calculate the statistical significance from the psychiatry data. The inter-rater reliability was 0.68 (p<0.01).

Conclusion

This study shows that the PHFRAT proved to be moderately suitable for detecting the risk of falling for adult patients admitted to somatic units in acute care. The reliability of the PHFRAT was moderate. The results indicate the need to study the PHFRAT more broadly in psychiatric care as well as some specialties in somatic care.

Clinical prediction models for hospital falls: a scoping review protocol

INTRODUCTION

Falls remain one of the most prevalent adverse events in hospitals and are associated with substantial negative health impacts and costs. Approaches to assess patients' fall risk have been implemented in hospitals internationally, ranging from brief screening questions to multifactorial risk assessments and complex prediction models, despite a lack of clear evidence of effect in reducing falls in acute hospital environments. The increasing digitisation of hospital systems provides new opportunities to understand and predict falls using routinely recorded data, with potential to integrate fall prediction models into real-time or near-real-time computerised decision support for clinical teams seeking to mitigate fall risk. However, the use of non-traditional approaches to fall risk prediction, including machine learning using integrated electronic medical records, has not yet been reviewed relative to more traditional fall prediction models. This scoping review will summarise methodologies used to develop existing hospital fall prediction models, including reporting quality assessment.

METHODS AND ANALYSIS

This scoping review will follow the Arksey and O'Malley framework and its recent advances, and will be reported using Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews recommendations. Four electronic databases (CINAHL via EBSCOhost, PubMed, IEEE Xplore and Embase) will be initially searched for studies up to 12 November 2020, and searches may be updated prior to final reporting. Additional studies will be identified by reference list review and citation analysis of included studies. No restriction will be placed on the date or language of identified studies. Screening of search results and extraction of data will be performed by two independent reviewers. Reporting quality will be assessed by the adherence to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis.

ETHICS AND DISSEMINATION

Ethical approval is not required for this study. Findings will be disseminated through peer-reviewed publication and scientific conferences.

Implementation of Fall Preventions Over the Past 15 Years: Impact on Inpatient Injury and Insights for the Future

BACKGROUND

Hospital fall rates have changed minimally with preventive measures; however, the effect on injury rate is unclear.

PURPOSE

The purpose was to determine whether fall-related injuries have changed over time.

METHODS

A retrospective comparison was done of 1134 adult inpatient falls in 2017 to 1235 falls in 2001-2002 for injury and fall circumstances. Separate comparisons were made of patient characteristics by service line for 2017.

RESULTS

Severe fall injuries declined from 6% to 2.4%. Elimination issues remained the most common circumstance (38.9% and 42%). In 2017, malnutrition (31.6%), low function (61.4%), fall history (26.3%), and use of high-risk medications (83.2%) were common in patients who fell. Predictors of falls with injury by patient population were as follows: surgery-male gender (P = .01), low function (P = .006), elimination issues (P = .04); oncology-low function (P = .04); and neurology-low function (P = .02).

CONCLUSIONS

Severe fall-related injuries have decreased in the past 15 years. The most common circumstance for falls remains elimination issues.

Hypoglycemia and hyperglycemia are risk factors for falls in the hospital population

OBJECTIVE

To determine the role of hypoglycemia, hyperglycemia or the combination of both as independent risk factors for falls in a hospital population. Secondary objectives included evaluation of other risk factors for falling and their relationships with glucose levels.

RESEARCH DESIGN AND METHODS

Retrospective cohort study over 2 years on hospitalized subjects (N = 57411) analyzing in-hospital-falls and capillary glucose values. Bivariate analysis (χ² test) and multivariate analysis (logistic regression) were performed to test for correlation of glucose values, age, sex, Charlson index, service of care, diagnosis at discharge and diabetes treatment with risk of in-hospital-falls.

RESULTS

The comparison of patients who experienced a fall (fall population) with the non-fall population suggested that: glucose determinations were significantly more frequent in the fall population (OR 3.45; CI 2.98-3.99; p < 0.0001); values of glucose below 70 mg/dl and over 200 mg/dl were significantly associated to falls during hospitalization (OR 1.76; CI 1.42-2.19; p < 0.001) as compared to glycemic values between 70 and 200 mg/dl; diabetes treatment was significantly correlated to risk of fall (OR 2.97; CI 2.54-3.49; p < 0.001); the frequency of glycemia measurements below 70 mg/dl and over 200 mg/dl in the same subject was significantly associated to falls during hospitalization (OR 1.01; CI 1.01-1.02; p < 0.001).

CONCLUSION

Hypoglycemia and hyperglycemia during hospital stays are correlated with an increased risk for falls in the hospitalized population. Presence of diabetes, use of insulin or glucose variability could potentially constitute risk factors for falls inside the hospital as well.

Claims Data Analysis on the Dispensing of Tricyclic Antidepressants Among Patients With Dementia in Germany

Objective: A restrictive use of tricyclic antidepressants (TCA) in patients with dementia (PwD) is recommended due to the hazard of anticholinergic side effects. We evaluated the frequency of TCA dispensing in PwD over a period of 1 year and the use of TCA before and after the incident diagnosis of dementia.

Methods: This analysis was based on administrative data from a German statutory health insurance for a period of 2 years. Totally, 20,357 patients with an incident diagnosis of dementia in 2014 were included. We evaluated the dispensing of TCA in 2015. Subgroup analyses were conducted to evaluate associations between the incident diagnosis of dementia and modifications in TCA dispensing.

Results: In 2015, 1,125 dementia patients (5.5%) were treated with TCA and 31% were medicated with TCA in all four quarters of 2015. Most dispensings were conducted by general practitioners (67.9%). On average, patients received 3.7 ± 2.6 dispensings per year. Amitriptyline (56.3%), doxepin (26.8%), and trimipramine (16.8%) were dispensed most often. Subgroup analyses revealed that the dispensing of TCA remained mainly unchanged following the incident diagnosis.

Conclusion: A relevant number of PwD were treated with TCA. To maintain the patients’ safety, an improved implementation of guidelines for the pharmaceutical treatment of PwD in healthcare institutions might be required. Since 68% of the patients suffered from depression, future studies should further evaluate the indications for TCA.

Tricyclic Antidepressant and/or γ-Aminobutyric Acid-Analog Use Is Associated With Fall Risk in Diabetic Peripheral Neuropathy

BACKGROUND/OBJECTIVES

Peripheral neuropathy is a common diabetes complication that can increase fall risk. Regarding fall risk, the impact of pain management using tricyclic antidepressants (TCAs) or γ-aminobutyric acid (GABA) analogs is unclear because these medications can also cause falls. This study investigates the impact of these drugs on fall and fracture risk in older diabetic peripheral neuropathy (DPN) patients.

DESIGN

Historical cohort study with 1-to-1 propensity matching of TCA/GABA-analog users and nonusers.

SETTING

Nationally representative 5% Medicare sample between the years 2008 and 2010.

PARTICIPANTS

After applying all selection criteria, 5,550 patients with prescription and 22,200 patients without prescription of TCAs/GABA-analogs were identified. Both patient groups were then stratified for fall history and matched based on propensity of receiving TCAs/GABA-analogs within each group.

MEASUREMENTS

Patients were followed until the first incidence of fall or the first incidence of fracture during the follow-up period (for up to 5 years).

RESULTS

After matching, users and nonusers were largely similar. After covariate adjustment, TCA/GABA-analog use was associated with a statistically significant increase in fall risk (adjusted hazard ratio [HR] = 1.11; 95% confidence interval [CI] = 1.03-1.20), but was not associated with fracture risk (adjusted HR = 1.09; 95% CI = 0.99-1.19) in the conventional analysis. Treating TCA/GABA-analog use as a time-dependent covariate resulted in statistically significant associations of TCA/GABA-analog use with both fall and fracture risk (HR = 1.26 [95% CI = 1.17-1.36]; and HR = 1.12 [95% CI = 1.02-1.24], respectively).

CONCLUSION

Among older patients with DPN, GABA-analogs or TCAs increase fall risk and possibly fracture risk. Use of these medications is therefore a potentially modifiable risk factor for falls and fractures in this population.

Pharmacological treatment in Parkinson's disease: Effects on gait

Gait impairments are a hallmark of Parkinson's disease (PD), both as early symptom and an important cause of disability later in the disease course. Although levodopa has been shown to improve gait speed and step length, the effect of dopamine replacement therapy on other aspects of gait is less well understood. In fact, falls are not reduced and some aspects of postural instability during gait are unresponsive to dopaminergic treatment. Moreover, many medications other than dopaminergic agents, can benefit or impair gait in people with PD. We review the effects of pharmacological interventions used in PD on gait, discriminating, whenever possible, among effects on four components of everyday mobility: straight walking, gait initiation, turning, gait adaptability. Additionally, we summarize the effects on freezing of gait. There is substantial evidence for improvement of spatial characteristics of simple, straight-ahead gait with levodopa and levodopa-enhancing drugs. Recent work suggests that drugs aiming to enhance the acetylcholine system might improve gait stability measures. There is a lack of well-designed studies to evaluate effects on more complex, but highly relevant walking abilities such as turning and making flexible adjustments to gait. Finally, paucity in the literature exists on detrimental effects of drugs used in PD that are known to worsen gait and postural stability in the elderly population.