Sample Of Demographic Analysis

Problem. In modern-day acute care settings, interruptions occur as part of normal work flow. Technology driven task performance intermingles with interpersonal communication, patient care needs, medication administration and distraction within one’s mind. When a task requires attention to detail or a significant amount of our attention, an interruption can be devastating to a patient, the person carrying out the task and the facility they are employed within. In healthcare literature research, a consistent definition of the term interruption was difficult to ascertain. Identifying a consistent definition would support research designed to support a link between interruptions and medical error.

How Can These Challenges Be Addressed. The changing of disability rates, the size of the economy and efforts at privatization may affect how much of an economic burden these programs will impose in the future. As a result, household financial wealth in the world's major economies will be roughly $31 trillion lower in 20 years than it would have been if historical demographic trends had persisted. Raising the retirement age, easing restrictions on immigration, encouraging families to have more children, and achieving faster economic growth will have little impact on this shortfall. To fill it, households and governments will have to increase their savings rates and national economies will have to allocate capital more efficiently, thereby boosting returns (Farrell, 2005).

Despite the concern for patient safety amongst healthcare leaders, the American healthcare system is experiencing major problems with patient safety and medical errors. Per the World Health Organization, “as many as 1 in 10 patients are harmed whilst receiving health care”. “Approximately 43 million safety incidences occur each year”. “Medication errors costs 42 billion US dollars annually”. The connection of nurse fatigue and its adverse events on patients is substantiated in numerous studies The AHRQ performed a study that indicated shifts longer than 12 hours were substantially associated with increased nursing errors. It further

Fatigue and sleepiness, tendency to fall asleep, go hand in hand as nurses struggle to stay awake during long, consecutive, day or night shifts. For example, in the Staff Nurse Fatigue and Patient Safety Study, the number of nurses who reported an error or a near miss had less hours of sleep than the nurses who did not report an error or a near miss, and it was determined that there is a 3.4 percent chance of a nursing error when nurses get 6 hours of sleep or less in the prior 24 hours; another study found that the chances of making an error was three times higher when nurses worked more than 12.5 hours per shift (Rogers, 2008). In the Staff Nurse Fatigue and Patient Safety Study, over two thirds of the participants reported that they struggle to stay awake while working and 20 percent reported incidence of falling asleep during their shift (Rogers, 2008). Nurses also do not get adequate breaks while working long shifts, according to the Agency of Healthcare Research and Quality (AHRQ) less than 50% of work breaks for are away from patient care, which means nurses never truly get a chance to relax (Phillips, 2014). Not only is the patient safety at risk when nurses are fatigued, but the well being of nurses is at stake as well. While nurses are fatigued they are risking their

This paper will explore the topic of nursing overtime and its effect on adverse events and errors in the workplace. The prevalence of mandatory and voluntary overtime is high. Nursing shortages combined with the aging baby boomer population means more work for health care workers, and nurses bear the brunt of this reality. There is some legislation in place to restrict mandatory overtime, but research suggests that overtime hours have not decreased since those policies were created. Furthermore, voluntary overtime is unregulated, with many nurses exceeding the recommended 40-hour workweek. Studies have shown that exceeding recommended hours results in workplace

There were 11,516 registered nurses included in the study and factors that were examined included nurse characteristics, work hours, and adverse events and errors (Olds & Clarke, 2010). The results showed that all of the adverse events and errors were related to working extensive hours within a week. The errors that were most reported were medication errors and needle stick injuries. This study, along with other research, confirms that excessive work hours increase the chances of adverse events and errors when caring for patients (Olds & Clarke, 2010). This study also shed light on the problem with voluntary overtime. Even though voluntary overtime is the nurse’s decision; it can still lead to adverse events if the nurse had worked too many hours prior and is fatigued.

This article will be used for the statistical information and potential solutions to lessening interruptions. The sample size was a convenience sample and could be biased due to the Hawthorne effect. This article may bring attention to the unit nurses and the supervisors concerning the number and kinds of work interruptions that occur. Addressing work interruptions may lead to improved patient safety during medication rounds. This article highlighted potential work interruptions that require addressing in order to maximize safety.

This paper addresses how mandatory overtime shifts cause safety problems on the floor, and how these shifts impact nurses’ safety. Safety errors can happen in the blink of an eye, and happen more than most healthcare systems would like to admit. On-going issues with nursing shortages have led to an increase in the amount of hours worked overtime. Numerous studies show that mandatory overtime causes an increase in safety errors among nurses in the healthcare setting. According to the article based on the observational study titled, “Scheduling and shift work characteristics associated with risk for occupation injury in newly licensed registered nurses”, there is a direct association between overtime and night shifts and an increased risk for injury (Stimpfel, Brewer, & Kovner, 2015). The statistics from this study show the serious impact overtime can have on a nurses’ safety, with results stating that “nurses working weekly overtime were associated with a 32% increase in the risk of a needle stick” over those who did not work extended hours (Stimpfel, 2015).

Part I: According to a 2013 census of Hot Springs, Arkansas, the demographics compared to San Diego City, California varied substantially. In education, 84.1% of people were a high school graduate or higher, while in San Diego City it was 87%. Kindergarteners in public school in Hot Springs were up to 97.6% in public schools and 2.4% in private schools, while San Diego City’s public school was only 90.5% and private school was 9.5%. Financial Characteristics on household incomes of $75,000-$99,000 of owned houses in Hot Springs was 9.7% and rent owned houses were 3.5% while San Diego’s percentage of owned houses was a whopping 14.1% and rented ones were 12.0%. Overall

The population of interest is a sample of offenders in various (state and federal) prison facilities in the United States. The study will include a sampling pool of both male and females ranging in age 18+. To help with initial involvement, the study will include: a cover letter, a consent form, a pre-demographic and information survey, and a self-addressed stamped envelope. To ensure a response, a reminder and thank you card will be sent to each participant two-weeks after the initial packet was sent.

When given no choice but to provide an overwhelming care to a ratio of patients not recommended, this will cause nurses to feel unsatisfied with their career. Because nurses are to render care with unrealistic workload, this may result in “chronic fatigue, poor sleep patterns, absenteeism, and job dissatisfaction” (Martin, 2011). It is but peace of mind that nurses acquire up arriving home. If they are disturbed during rest, or have to think about the hard work awaiting to be placed upon them, staying awake and alert during a shift, will result in an increase of incidents and unsatisfactory care; the evidence of the malpractice of nonmalificence and

The study included data from 6,800 participants who had a mean age of 29. On average 61 % of households were headed by men. Only about 3.9 % of participants in this study were smokers. The majority of participants were not employed and the majority reported that their highest level of education was up to the secondary level. Most participant residences were in urban areas where houses are mostly made of concrete with zinc roofs and cement or tiled flooring. 68 % of participants report using bottled water as their main source of drinking water. This still leaves 32% of the population drinking water from sources that are likely contaminated. Most participants reporting having electricity, but only about 60 % have refrigeration in their homes and only about half of the participants reported having a toilet with a piped sewer system in their home.

When nurse is rushing to meet the loads of a busy schedule or duty call, cutting back on sleep or working fatigued. Giving up seven to nine hours of rest, naps and not getting adequate amount of sleep after long shift hours in fact is realistic personal trade-off that over the long-term creates havoc in health. The truth is that working overtime, frequent interrupted rest brake or sleep deprivation is not a good idea for nurses. It not only affects nurse mentality and physical health, productivity, vitality, and sharpness or right decision taken, but also could change collective manners toward work and undesirable risk to patient’s safety. After review The American Nurse Association (ANA) (2014) position that promote stronger support and collaboration to reduce fatigue or sleep deprivation in nurses and continue afford safe patient care every day.

. The Summary statistics by race and gender are presented in table 1. The sampling frame of this study conducted by NAMCS was through the demographic, state and regional variation; however, there is sampling error due to incomplete responses as well as non responses of the population sample. This study has a lot of limitations, especially on the demographic background of the sample, 25.8 % did not fill out the demographic and leave the questionnaire blank. The data explored for race and ethnic is the imputed options, because of the missing or incomplete responses in the demographics. The cross table count is the statistical association between categorical variables like age and race. The lowest hypertension visits, 16.9%, were done by Non-Hispanic

Of the demographic data included in Fayette County’s profile, the indicators/variables that best assess how widespread poverty is includes, but is not limited to, population density, lack of high paying jobs, monthly rent, median household income, educational attainment, unemployment, disability with age, reported pregnancies, uninsured persons, mediocre schools, and crime rates (Center for Rural Pennsylvania, 2014).The rationale for selecting these indicators/variables is fairly simple as each indicator/variable is dependent on each other.