Category Archives: Evidence based nursing

DIY your own Intro/Background: Structure & Argument

Want to know how to write an introduction/background section of a paper?  Pay attention to STRUCTURE & evidence-based ARGUMENT in order to DIY (do-it-yourself) your own intro/background for a school paper or research report!

Let’s use this 2015 free full-text article by Marie Flem Sørbø et al. as a model!  Past and recent abuse is associated with early cessation of breast feeding: results from a large prospective cohort in Norway .   (Hint: Clicking on the article’s pdf tab may make it easier to read.)

Focus only on the INTRO/BACKGROUND section for now.  Check out the STRUCTURE then the EVIDENCE-BASED ARGUMENT of the Intro/Background.  This is how you should write your own.

STRUCTURE of INTRO/BACKGROUND in Sørbø et al. (2015):STructure

  1. Where is the Intro/Background section located in the article?
  2. What heading is used for the section?
  3. Where are the research questions located in the Intro/Background?  (HINT: this is the standard place in all papers & in this case the authors call them “aims.)

ARGUMENTS in INTRO/BACKGROUND in Sørbø et al. (2015):Why2

  1. Look at the first (topic) sentence of each paragraph in INTRO/BACKGROUND & listen to the systematic argument the researchers are making for WHY their study is important.
    • “Breast feeding has long been acknowledged as the optimal infant nutrition conferring beneficial short-term and long-term health effects for both infants and mothers.1–5      …
    • Abuse of women is common worldwide, as one in three women during lifetime suffer partner or non-partner abuse.10   …Adverse  effects [of abuse]… are barriers to breast feeding.*…
    • Given the overwhelming evidence of the positive effects of breast feeding, knowledge about factors influencing breastfeeding behaviour is essential….
    • We explored the impact of abuse of women on breastfeeding behaviour in a large prospective population in Norway where the expectations to breast feed are high, and breast feeding is facilitated in the work regulations….” (pp. 1-2)evidence2
  2. Now look at the research & other evidence written down AFTER each of above key sentences that SUPPORT each idea.
  3. Notice that the INTRO/BACKGROUND is NOT a series of abstracts of different studies!!  Instead evidence is grouped into key arguments for the study: Breast feeding is best, Abuse is common, Abuse creates barriers to breastfeeding, & Therefore, knowing about factors affecting breastfeeding is therefore important). [Note: Of course, if your particular professor or editor asks you to do a series of abstracts, then you must, but do group them in arguments like the topic sentences.]

All this leads naturally, logically to …(drum roll please!)…the research questions/hypotheses, which are the gaps in our knowledge that the research will fill.  This sets up the rest of the research article!

Image result for starCritical Thinking:  Your turn! Write your own Intro/Background usingSTructure

  • Structure: Placement in article, heading, placement of research question/hypothesisWhy2
  • Argument: Key idea topic sentences (make a list 1st) with supporting research & other evidence (your literature review).

For more info on Intro/Background:  Review my blogpost Intro to Intro’s

*ok, yeh. I cheated and included one additional sentence to capture the authors’ flow of argument.

33,000 foot view isn’t enough! Get down on the Ground To See What’s Really Happening!

My last blog post listed the usual sections of a research report (title, abstract, introduction, methods, results, & discussion/conclusion); and I illustrated the amazing things you can learn from only an article title!Its not enough

This week? Abstracts.   Abstracts are great; abstracts are not enough!

An abstract gives us only enough info to INaccurately apply the study findings to practice.

An abstract typically summarizes all the other sections of the article, such as  the question the researcher wanted to answer, how the researcher collected data to answer it, and what that data showed.  This is great when you are trying to get the general picture, but you should Never assume that the abstract tells you what you need to know.

Wrong WayAbstracts can mislead you IF you do not read the rest of the article.  They are only a short 100-200 words and so they leave out key information.   You may misunderstand study results if you read only the abstract.   An abstract’s 33,000 foot level description of a study, cannot reveal the same things that can be revealed in the up-close & personal description of the full article.

So…what is the takeaway?  Definitely read the abstract to get the general idea.  Then read the full article beginning to end to get the full & beautiful picture of the study.  Davies & Logan (2012) Butterflyencourage us,  Don’t give up reading the full article just because some parts of the study may be hard to understand.  Just read and get what you can, then re-read the difficult-to-understand parts.  Get some help with those PRN.

 

Critical thinking:   What info is missing from the below abstract that you might want to know?

J Nurses Prof Dev. 2016 May-Jun;32(3):130-6. doi: 10.1097/NND.0000000000000227.    Partnering to Promote Evidence-Based Practice in a Community Hospital: Implications for Nursing Professional Development Specialists. Highfield ME1, Collier A, Collins M, Crowley M.

ABSTRACT: Nursing professional development specialists working in community hospitals face significant barriers to evidence-based practice that academic medical centers do not. This article describes 7 years of a multifaceted, service academic partnership in a large, urban, community hospital. The partnership has strengthened the nursing professional development role in promoting evidence-based practice across the scope of practice and serves as a model for others.

More info on abstracts & other components of research articles?  Check out Davies & Logan (2012) Reading Research published by Elsevier.

“It’s All in The Name!” Titles of Research Articles

Research articles have relatively standardized sections:

• Title 
• Abstract (overview of project that is somewhat incomplete)
• Introduction (purpose, problem, & background)
• Methods (sample, setting, measurements collected)
• Results (data analysis from measurements), &
• Discussion/conclusions (what the data analysis tells us about the original purpose & problem)
These may vary a little from article to article.

Let’s look at the TITLE for a minute. A good title is a mini-abstract. A good title will include:
• Key variables (remember a variable is something that varies, such as fatigue or satisfaction)
• Population studied
• Setting of study
• Design of study

For example take this research article title “What patients with abdominal pain expect about pain relief in the Emergency Department” by Yee et al in 2006 in JEN.
• Key thing that varies? Expectations about pain relief
• Population studied? ED patients with abdominal pain
• Setting? May be the ED
• Design? (not included, but those with experience in reading research would guess that it is probably a descriptive study—in other words it just describes the patients’ expectations without any intervention.)

There you have it! Now you know about TITLES!!

Nightingale: Avante garde in meaningful data

In honor of Nurse Week, I offer this tribute to the avante garde research work of Florence Nightingale in the Crimea that saved lives and set a precedent worth following.

Nightingale was a “passionate statistician” knowing that outcome data are convincing when one wants to change the world.  She did not merely collect the data, but also documented it in a way that revealed its critical meaning for care.

As noted by John H. Lienhard (1998-2002): Nightingale coxcombchart“Once you see Nightingale’s graph, the terrible picture is clear. The Russians were a minor enemy. The real enemies were cholera, typhus, and dysentery. Once the military looked at that eloquent graph, the modern army hospital system was inevitable.  You and I are shown graphs every day. Some are honest; many are misleading….So you and I could use a Florence Nightingale today, as we drown in more undifferentiated data than anyone could’ve imagined during the Crimean War.” (Source: Leinhard, 1998-2002)

As McDonald (2001) writes in the BMJ free, full-text,  Nightingale was “a systemic thinker and a “passionate statistician.”  She insisted on improving care by making policy & care decisions based on “the best available government statistics and expertise, and the collection of new material where the existing stock was inadequate.”(p.68)

Moreover, her display of the data brought its message home through visual clarity!

Thus while Nightingale adhered to some well-accepted, but mistaken, scientific theories of the time (e.g., miasma) her work was superb and scientific in the best sense of the word.   We could all learn from Florence.

CRITICAL THINKING:   What issue in your own practice could be solved by more data?  How could you collect that data?   If you have data already, how can you display it so that it it meaningful to others and “brings the point home”?

FOR MORE INFO:

HAPPY NURSE WEEK TO ALL MY COLLEAGUES.  

MAY YOU GO WHERE THE DATA TAKES YOU!

 

 

Quasi- wha??

Two basic kinds of research design exist:  

  1. Experimental design in which
    • the researcher manipulates some variable,randomized
    • the participants are randomly assigned to groups, &
    • one group is a control group that gets a placebo or some inert treatment so that outcomes in that group can be compared to the group(s) that did get the treatment.
  2. Non-experimental design in which the researcher doesn’t manipulate anything, but just observes & records what is going on.   Some of these are descriptive, correlational, case, or cohort study designs for example.

One particularly interesting “experimental” design is one in which 1 or 2 of the experimental design ideal requirements as listed above are missing.  These are called quasi-experimental designs.

thinking3In a quasi experimental design

  • The researcher manipulates some variable, but….
  • Either the participants are NOT randomly assigned to groups
  • &/OR there is no control group.

A quasi-experimental design is not as strong as a true experiment in showing that the manipulated variable X causes changes in the outcome variable Y.  For example, a true experimental study with manipulation, randomization, and a control group would create much stronger evidence that hospital therapy dogs really reduced patient pain and anxiety.  We would not be as confident in the results of a quasi-experimental design examining the exact same thing.  In the next blog, we’ll examine why.

For more info:  Check out earlier blog:    “What is an RCT anyway?” at https://discoveringyourinnerscientist.com/2015/01/23/whats-a-randomized-controlled-trial/Idea2

Critical thinking:  Go to PubMed & use search terms “experiment AND nurse” (without the quotation marks).  Open an interesting abstract and look for the 3 elements of a classic experimental design. Now look for “quasi experiment AND nurse” (without the quotation marks.)  See what element is missing!

Bake it into your project cake!

In the last post we compared stronger direct measures of outcomes with weaker indirect
measuremeasures of project outcomes.

So…what direct measures are you “baking into your project cake”? What do you hope will be your project outcome & what measurement will show that you achieved it? –pain scores? weight? skin integrity? patient reports of a sound night’s sleep?  Share your story.  Help others learn.

Or if you just stuck with HCAHPS (or other) as outcome measure, explain why that was the best choice for your project.  (Maybe in your case it was a direct measure!)

Happy measuring!

For More Info on direct vs. indirect measures & Critical thinking: Check out t Direct speaking about INdirect outcomes: HCAHPS as a measurementquestion

Your chance to shine!

Join the Honor Society of Nursing, Sigma Theta Tau International and more than 2,000 of your peers in Indianapolis, Indiana, USA, 28 October – 1 November 2017, for the 44th Biennial Convention. Experience STTI’s largest event, which features more than 800 oral and poster presentations, networking opportunities, and more.

Call for Abstracts
Opportunities are now available to submit abstracts for the 44th Biennial Convention.
Submission Deadline: 9 November 2016.

For more information: http://www.nursingsociety.org/connect-engage/meetings-events/biennial-convention/call-for-abstracts