Introduction
Surveying patients after they are discharged from the hospital can be a valuable tool leaders at a facility can use to determine areas of strengths and areas of weakness. In order to improve quality of care and improve patient satisfaction the well-known HCAHPs scores are the current industry-standard by which in-patient hospitals measure. Beryl is another well-known survey used after discharge, typically 48-72 hours after discharge, which can actually influence HCAHPs scores. This telephone survey affected one hospitals “overall rating” score to increase 12 percentage points (Beryl health, 2011). The director for Beryl, Cynthia Hanna, RN expressed the importance of capturing data immediately after discharge to understand patient …show more content…
We will use a survey mailed out to patients who have used our services at our primary care practice. An example of the survey is provided. One survey will be mailed out within one week of visiting office. A follow-up reminder will be sent out if the questionnaire is not completed in order to “achieve a higher response rate” (Polit and Beck, 2012, p. 311). It will include a copy of the survey in the event the participant has lost the first one. Also, a description of the determining the sample is also provided. Limitations could be visual deficits in the elderly patient, or inability to fill write due to arthritis or other limiting musculoskeletal process. The survey will already have postage on it and the patient will not have to provide …show more content…
522). The Confidence Interval is important in determining a sample size. In order to decrease the margin of error and increase the confidence of the accuracy that the results are really representative of the population, specific equations are used to calculate what the researcher will need (Polit & Beck, 2012) (Sample size. (2012). The calculations provided by surveygizmo.com state that for 10,000 people, 370 responses will be sufficient, satisfying the Confidence Interval (Sample size. (2012). For this survey, our goal is to obtain 370 surveys. At this point, I do not know what the response rate is typically for this demographic as it is not specified.
In order to maintain reliability in this study, Cronbachs’ alpha will be utilized, with compute software to calculate the data. As Polit and Beck (2012) remark, coefficient alpha or Cronbach’s alpha is the most widely used method for evaluating consistency. This is our check for reliability which works for this tool because it can be used for tests that have no right answer, where respondents rate the degree to which they agree or disagree (Key, 1997).
The
Surveying patients after they are discharged from the hospital can be a valuable tool leaders at a facility can use to determine areas of strengths and areas of weakness. In order to improve quality of care and improve patient satisfaction the well-known HCAHPs scores are the current industry-standard by which in-patient hospitals measure. Beryl is another well-known survey used after discharge, typically 48-72 hours after discharge, which can actually influence HCAHPs scores. This telephone survey affected one hospitals “overall rating” score to increase 12 percentage points (Beryl health, 2011). The director for Beryl, Cynthia Hanna, RN expressed the importance of capturing data immediately after discharge to understand patient …show more content…
We will use a survey mailed out to patients who have used our services at our primary care practice. An example of the survey is provided. One survey will be mailed out within one week of visiting office. A follow-up reminder will be sent out if the questionnaire is not completed in order to “achieve a higher response rate” (Polit and Beck, 2012, p. 311). It will include a copy of the survey in the event the participant has lost the first one. Also, a description of the determining the sample is also provided. Limitations could be visual deficits in the elderly patient, or inability to fill write due to arthritis or other limiting musculoskeletal process. The survey will already have postage on it and the patient will not have to provide …show more content…
522). The Confidence Interval is important in determining a sample size. In order to decrease the margin of error and increase the confidence of the accuracy that the results are really representative of the population, specific equations are used to calculate what the researcher will need (Polit & Beck, 2012) (Sample size. (2012). The calculations provided by surveygizmo.com state that for 10,000 people, 370 responses will be sufficient, satisfying the Confidence Interval (Sample size. (2012). For this survey, our goal is to obtain 370 surveys. At this point, I do not know what the response rate is typically for this demographic as it is not specified.
In order to maintain reliability in this study, Cronbachs’ alpha will be utilized, with compute software to calculate the data. As Polit and Beck (2012) remark, coefficient alpha or Cronbach’s alpha is the most widely used method for evaluating consistency. This is our check for reliability which works for this tool because it can be used for tests that have no right answer, where respondents rate the degree to which they agree or disagree (Key, 1997).
The