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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
z Scores and Unusual Values01:07

z Scores and Unusual Values

The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data value...
Unusual Results01:16

Unusual Results

Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ  from the mean, μ  is considered unusual.
Maximum unusual value = μ + 2σ
Minimum unusual value...
Independent and Dependent Sources01:18

Independent and Dependent Sources

In electrical circuits, sources play a crucial role in providing power for the operation of the circuit. These sources can be broadly categorized into two types: independent and dependent.
Independent voltage or current sources supply a fixed amount of voltage or current, respectively, which is unaffected by other elements within the circuit. These are represented using specific symbols. Independent voltage sources are symbolized with polarities (+ and -), indicating the direction of the...

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Published on: September 20, 2018

Unsolicited written comments: an untapped data source.

Sally L Maliski1, Mark S Litwin

  • 1School of Nursing, University of California, Los Angeles, CA, USA. smaliski@sonnet.ucla.edu

Oncology Nursing Forum
|June 15, 2007
PubMed
Summary
This summary is machine-generated.

Analyzing unsolicited comments on health-related quality of life (HRQOL) surveys for prostate cancer patients is feasible and useful. This method reveals patient concerns and enhances survey findings for nursing research.

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Area of Science:

  • Oncology Nursing
  • Health Services Research
  • Qualitative Research Methods

Background:

  • Prostate cancer treatment significantly impacts patients' health-related quality of life (HRQOL).
  • Forced-choice surveys often include space for unsolicited comments, which are frequently underutilized.
  • Understanding patient experiences beyond quantitative data is crucial for comprehensive care.

Purpose of the Study:

  • To explore and validate methods for analyzing unsolicited comments from HRQOL surveys in prostate cancer patients.
  • To assess the feasibility and utility of qualitative comment analysis in a quantitative research setting.

Main Methods:

  • Unsolicited comments from HRQOL surveys of prostate cancer patients (n=375) were collected at multiple time points post-treatment.
  • Comments were systematically coded for main ideas, grouped into categories, and analyzed quantitatively.
  • A total of 3,175 comments were analyzed, yielding 34 codes and 8 distinct categories.

Main Results:

  • 87% of participants provided unsolicited comments on at least one survey.
  • The analysis identified key themes and concerns expressed by patients regarding their HRQOL.
  • Graphical display of categorized comments facilitated visualization of trends over time.

Conclusions:

  • Analyzing unsolicited survey comments is a feasible and valuable method for uncovering patient concerns.
  • This approach enriches quantitative findings, offering deeper insights into patient experiences.
  • The method can guide future qualitative or quantitative nursing research and interventions.