Tag Archives: research

Dispelling the nice or naughty myth: retrospective observational study of Santa Claus.

Naughty NiceGo to full article


“OBJECTIVE:  To determine which factors influence whether Santa Claus will visit children in hospital on Christmas Day.

DESIGN:  Retrospective observational study.

SETTING:  Paediatric wards in England, Northern Ireland, Scotland, and Wales.

PARTICIPANTS:  186 members of staff who worked on the paediatric wards (n=186) during Christmas 2015.

MAIN OUTCOME MEASURES:  Presence or absence of Santa Claus on the paediatric ward GIFTSduring Christmas 2015. This was correlated with rates of absenteeism from primary school, conviction rates in young people (aged 10-17 years), distance from hospital to North Pole (closest city or town to the hospital in kilometres, as the reindeer flies), and contextual socioeconomic deprivation (index of multiple deprivation).

RESULTS:  Santa Claus visited most of the paediatric wards in all four countries: 89% in England, 100% in Northern Ireland, 93% in Scotland, and 92% in Wales. The odds of him not visiting, however, were significantly higher for paediatric wards in areas of higher socioeconomic deprivation in England (odds ratio 1.31 (95% confidence interval 1.04 to 1.71) in England, 1.23 (1.00 to 1.54) in the UK). In contrast, there was no correlation with school absenteeism, conviction rates, or distance to the North Pole.

CONCLUSION:  The results of this study dispel the traditional belief that Santa Claus rewards children based on how nice or naughty they have been in the previous year. Santa Claus is less likely to visit children in hospitals in the most deprived areas. Potential solutions include a review of Santa’s contract or employment of local Santas in poorly represented region.”  Park et al. (2016).BMJ. 2016 Dec 14;355:i6355. doi: 10.1136/bmj.i6355.

How would you translate this into practice?   Questions to help you with this endeavor:   Where does this retrospective, observational research fall on the evidence hierarchyEBNIs it quantitative or qualitative research?  Experimental or non-experimental research? How generalizable is this research? What are the risks,resources, and readiness of people in potentially using the findings (Stetler & Marram, 1996; Stetler, 2001)?   What might happen if you try to apply the abstract information to practice without reading the full article?  Do you think the project done in Europe is readily applicable to America?  What would be the next level of research that you might undertake to better confirm these findings?
Enjoy your holiday season! -Dr H

Write Away!

Want to know the standardized format for writing up your research study, QI report, Writing1case study, systematic review, or clinical practice guideline?    Check out these standardized reporting guidelines: http://www.equator-network.org/reporting-guidelines/

Of course you should always give priority to the author instructions for the particular journal in which you want to publish, but most adhere generally or fully to these standardized guides.

Write away!

“Please answer….” (cont.)

What do people HATE about online surveys?   If you want to improve your response rates, check out SurveyMonkey Eric V’s (May Mail2017)  Eliminate survey fatigue: Fix 3 things your respondents hate 

For more info: Check out my earlier post “Please Answer!”

Missing in Action: The Pyramid foundation

Last post I commented on the potentially misleading terms of Filtered & Unfiltered Filtered Unfiltered jpgresearch.  My key point?  Much so-called “unfiltered research” has been screened (filtered) carefully through peer-review before publication; while some “filtered research”  may have been ‘filtered’ only by a single expert & be out of date. If we use the terms filtered and unfiltered we should not be naive about their meanings. (Pyramid source:  Wikimedia Commons )

This week, I address what I see as a 2nd problem with this evidence based medicine pyramid.  That is, missing in action from it are descriptive, correlation, & in-depth qualitative research are not mentioned.  Where are they?  This undercuts the EBM pyramid as a teaching tool and also (intentionally or not) denigrates the necessary basic type of research on which stronger levels of evidence are built.  That foundation of the pyramid, called loosely “background information,” includes such basic, essential research.

Ask an ExpertYou may have heard of Benner’s Novice to Expert  theory.  Benner used in-depth, qualitative interview descriptions as data to generate her theory.  Yet that type of research evidence is missing from medicine’s pyramid!  Without a clear foundation the pyramid will just topple over.  Better be clear!

I recommend substituting (or at least adding to your repertoire) an Evidence Based NURSING (EBN) pyramid.  Several versions exist & one is below that includes some of the previously missing research!  This one includes EBP & QI projects, too! Notice the explicit addition of detail to the below pyramid as described at https://www.youtube.com/watch?v=MfRbuzzKjcM.EBN

Critical thinking:  #1List some EBM & EBN pyramid differences.  #2 Figure out where on the hierarchy this project would go: Crowell, J., OʼNeil, K., & Drager, L. (2017). Project HANDS: A bundled approach to increase short peripheral catheter dwell time. Journal of Infusion Nursing, 40(5), 274-280. doi: 10.1097/NAN.0000000000000237.   1st use medicine’s EBM pyramid; & then 2nd use nursing’s EBN pyramid.  #3 Label Crowell et al.’s study as filtered or unfiltered and explain what you mean by that.

For more info:  Watch the YouTube video at the link above.

Introduction to Introductions!

In a couple of recent blog entries I noted what you can and cannot learn from research 1) titles & 2) abstracts. Now, let me introduce you to the next part of research article:  Introduction (or sometimes called Background or no title at all!).   Introduction immediately follows the abstract.Start

The introduction/background  “[a] outlines the background of the problem or issue being examined, [b] summarizes the existing literature on the subject, and [c] states the research questions, objectives, and possibly hypothesis” (p. 6, Davies & Logan, 2012)

This section follows the abstract. It may or may not have a heading(s) of “Introduction” or “Background” or both.  Like the abstract, the Introduction describes the problem in which the researcher is interested & sometimes the specific research question or hypothesis that will be measured.

In the Intro/Background you will get a more full description of why the problem is a priority for research and what is already known about the problem (i.e., literature writing-handreview).

Key point #1: Articles & research that are reviewed in theIntro/Background should be mostly within the past 5-7 years.  Sometimes included are classic works that may be much older OR sometimes no recent research exists.   If recent articles aren’t used, this should raise some questions in your mind.   You know well that healthcare changes all the time!!  If old studies are used the author should explain.

Key point #2:  The last sentence or two in theIntro/Background is usually the research question or hypothesis (unless the author awards it its own section).  If you need to know the research question/hypothesis right away, you can skip straight to the end of the Intro/background—and there it is!

Critical Thinking: 1) Read the abstract then 2) Read the 1st section of this 2015 free full-text article by Marie Flem Sørbø et al.:  Past and recent abuse is associated with early cessation of breast feeding: results from a large prospective cohort in Norway

  • Is it called Introduction/Background or both?
  • What literature is already available on the problem or issue being examined?
  • What are the research questions/hypotheses?  (After reading above you should know exactly where to look for these now.)

For More Info:  Check out especially Steps #1, #2, & #3 of How to read a research article.

“Please answer!” – How to increase the odds in your favor when it comes to questionnaires

Self-report by participants is one of the most common ways that researchers collect data, yet it is fraught with problems.   Some worries for researchers are: “Will participants be honest or will they say what they think I want to hear?”   “Will they understand the DifferentGroupsquestions correctly?”  “Will those who respond (as opposed to those who don’t respond) have unique ways of thinking so that my respondents do not represent everyone well?” and a BIG worry “Will they even fill out and return the questionnaire?”

One way to solve at least the latter 2 problems is to increase the response rate, and Edwards et al (2009 July 8) reviewed randomized trials  to learn how to do just that!!Questionnaire faces

If you want to improve your questionnaire response rates, check it out!  Here is Edwards et al.’s plain language summary as published in Cochrane Database of Systematic Reviews, where you can read the entire report.

Methods to increase response to postal and electronic questionnaires

MailPostal and electronic questionnaires are a relatively inexpensive way to collect information from people for research purposes. If people do not reply (so called ‘non-responders’), the research results will tend to be less accurate. This systematic review found several ways to increase response. People can be contacted before they are sent a postal questionnaire. Postal questionnaires can be sent by first class post or recorded delivery, and a stamped-return envelope can be provided. Questionnaires, letters and e-mails can be made more personal, and preferably kept short. Incentives can be offered, for example, a small amount of money with Remember jpga postal questionnaire. One or more reminders can be sent with a copy of the questionnaire to people who do not reply.


Critical/reflective thinking:  Imagine that you were asked to participate in a survey.  Which of these strategies do you think would motivate or remind you to respond and why?

For more info read the full report: Methods to increase response to postal and electronic questionnaires


Words vs. Numbers: What does it all mean?

There are several ways to classify types of research.   One way is qualitative versus quantitative–in other words, WORD  vs. NUMBER data, methods, & analysis.

  1. Qualitative research focuses on words (or sometimes images) and their meanings.
  2. Quantitative research focuses on numbers or counting things and statistical analysis that yields probable meaning.

If you watch this short, easy-to-understand youtube clip, you’ll have all the basics that you need to understand these!   Enjoy!

Critical thinking:  Go to PubMed for this QUANTitative study on spiritual issues in care (https://www.ncbi.nlm.nih.gov/pubmed/28403299) and compare it to this PubMed QUALitative study (https://www.ncbi.nlm.nih.gov/pubmed/27853263) in terms of data, methods, & analysis)

For more information: See earlier posts

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