PUBH 6005 Week 3 Literature Search Log Example

Perspectives on Health and the Developing Scholar-Practitioner Walden University Free custom sample in 24 to 48h

This PUBH 6005 Week 3 literature search log example records three PubMed searches on insulin rationing driven by cost, run October 10, 2026, with exact strings and counts of 61, 31 and 29 records. Walden PUBH 6005 asks students to hunt sources and record where each came from, and the log screens all 29 titles, excluding 10 as off topic and sorting the rest into 13 empirical studies and 6 reviews or commentaries. It then admits that a central national survey estimating about 1.3 million adults who ration never appeared in any search, explains why a short research report can slip past keyword terms and plans a word-variant search plus backward citation checks. Logging a miss as carefully as a hit is the MPH research habit this week builds.

CoursePUBH 6005 Perspectives on Health and the Developing Scholar-Practitioner
WeekWeek 3
Paper typeLiterature search log
LengthAbout 580 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMaster of Public Health (MPH)
UpdatedOctober 2026

Free sample paper for PUBH 6005 Week 3

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Every Source Traced to the Search That Found It: A Literature Search Log on Insulin Rationing Driven by Cost in the United States, With Search Strings, Counts, Screening Decisions and One Known Study the Searches Missed

Student Name

Walden University

PUBH 6005: Perspectives on Health and the Developing Scholar-Practitioner

Instructor Name

Month Day, Year

What this page is doingThe title promises a trail from each source back to its search, and admits a miss, because a log that only reports successes cannot be checked or repeated.
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Every Source Traced to the Search That Found It: A Literature Search Log on Insulin Rationing Driven by Cost in the United States, With Search Strings, Counts, Screening Decisions and One Known Study the Searches Missed

Purpose of the Log

This log records how I searched for published research on the Week 2 topic: adults in the United States who cut back on prescribed insulin because of what it costs. Anyone repeating these searches ought to land on the same records, or see where my results would now differ. All searches were run in PubMed on October 10, 2026.

What this page is doingDating the searches up front tells a reader that the counts below are a snapshot and will change.
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Searches Run

Table 1

PubMed Search Log

SearchStringRecords |
1"insulin"[tiab] AND (rationing[tiab] OR underuse[tiab])61 |
2Search 1 AND ("cost"[tiab] OR "costs"[tiab] OR afford*[tiab])31 |
3Search 2 limited to publication dates 2018 to 202629 |

Note. [tiab] restricts terms to titles and abstracts. Counts as of October 10, 2026.

Why These Terms

"Rationing" is the word patients and journalists use; "underuse" is the word in the clinic study that first drew my attention (Herkert et al., 2019). Searching both captured more than either alone. Adding cost terms halved the results, removing records about insulin underuse for other reasons, such as fear of low blood sugar. The date limit removed only two older records, which suggests most of this literature is recent.

Screening the 29 Records

The 13 empirical studies include the single-clinic survey I already knew, a primary care clinic survey published in 2023, a national study of adults younger than 65 published in JAMA in 2023, two international online surveys of people with type 1 diabetes and several studies from 2024 to 2026 that compare states with and without insulin copay caps or examine spending after federal law changes. That last group was the most useful surprise, because it moves the topic toward the policy questions I raised in Week 2.

Table 2

Screening Decisions

StageRecordsDecision |
Titles reviewed2910 excluded as off topic: social media analyses, clinic quality reports, studies outside the United States, a budget model and reviews of other drug issues |
Remaining19Classified by type |
Empirical studies13Kept for full reading |
Reviews and commentary6Two reviews kept for background; four set aside |

Note. Decisions made by title and abstract.

A Known Study the Searches Missed

The national survey estimating that about 1.3 million US adults rationed insulin (Gaffney et al., 2022) did not appear in any of the three searches. It was published as a short research report, and its title and indexing evidently did not match my terms in the way I expected. I found it earlier through a news article. This is the most important lesson of the log: a search that misses a central study is not yet finished.

Correction Planned

I will add a search using "insulin"[tiab] AND "ration*"[tiab] to catch word variants, and I will scan the citations at the end of the two reviews kept for background. Following citations backward from strong sources is a standard way to find what keyword searches miss in evidence-based public health work (Brownson et al., 2009).

What the Log Shows About the Topic

The literature is small and recent. Most of it measures how often rationing happens and who is affected, and a growing share asks whether policy changes have reduced it. Very little measures health outcomes such as emergency visits, which matches the gap I identified in Week 2.

References

Brownson, R. C., Fielding, J. E., & Maylahn, C. M. (2009). Evidence-based public health: A fundamental concept for public health practice. Annual Review of Public Health, 30, 175-201. https://doi.org/10.1146/annurev.publhealth.031308.100134

Gaffney, A., Himmelstein, D. U., & Woolhandler, S. (2022). Prevalence and correlates of patient rationing of insulin in the United States: A national survey. Annals of Internal Medicine, 175(11), 1623-1626. https://doi.org/10.7326/M22-2477

Herkert, D., Vijayakumar, P., Luo, J., Schwartz, J. I., Rabin, T. L., DeFilippo, E., & Lipska, K. J. (2019). Cost-related insulin underuse among patients with diabetes. JAMA Internal Medicine, 179(1), 112-114. https://doi.org/10.1001/jamainternmed.2018.5008

What the PUBH 6005 Week 3 instructions ask for

Search log assignments ask students to document how they found literature on their topic so another reader could repeat the search. Instructors expect databases, exact search strings, limits, dates and record counts, followed by screening decisions. Many prompts ask students to explain why they chose certain terms and what they would change. Logs usually present searches and screening in tables, with a short narrative explaining choices. Strong logs report problems honestly, including studies the search failed to find, and describe a plan to fix them. Some sections require a second database such as CINAHL or Scopus, so check whether one database is enough for your rubric. Instructors often try one of the student's search strings themselves, so a typo or missing parenthesis is noticed quickly.

Inside the PUBH 6005 Week 3 example

The log states its purpose and the date of all searches. A table lists three PubMed searches with strings and counts, and a subsection explains why the terms rationing and underuse were both used and what the cost terms and date limit removed. A screening table shows 10 records excluded by title and the remaining 19 sorted into empirical studies and reviews. A narrative describes the empirical studies kept, including recent work on copay caps. A section reports the known national survey the searches missed and plans a correction. A closing section describes what the log reveals about the literature. The log treats its own failure as a finding, which helps a reader more than a tidy record of searches that worked perfectly the first time.

Reading the PUBH 6005 Week 3 rubric

Search logs are judged on reproducibility, transparency of screening, reflection on search choices and honesty about gaps. Reproducibility credit requires exact strings, databases, limits and dates. Screening credit comes from stated reasons for exclusions. Reflection credit rewards explaining why terms were chosen and what each change did to the results. Gap credit is earned by identifying missed studies and planning a fix. Clear tables and correct citation of any studies named complete the scoring. Logs that state how many records were excluded and why are easier to grade and to trust than logs that report only final counts.

PUBH 6005 Week 3 help from the desk

Search logs often list sources without the searches behind them. Copy each search string exactly and record the count and date. Screen titles and abstracts and give a reason for every exclusion. Check whether studies you already know appear in your results; if not, find out why. Plan a second approach, such as following reference lists. A free search log for your topic can be requested. Save your searches in your database account so you can rerun them later and see what has been added. Keep a simple spreadsheet of records and decisions as you screen.

Get a PUBH 6005 Week 3 example written to your instructions

Name your topic, list any sources you already hold with where each came from, and forward the search assignment for Week 3 along with its rubric. The log records a real search on that topic, route by route. The first log is yours at no cost within 24 to 48 hours; rerun any row before citing what it found.

More PUBH 6005 papers and MPH samples

PUBH 6005 Week 3 questions, answered

Where can I find a free PUBH 6005 Week 3 sample paper?

The full Week 3 literature search log is shown above, with three PubMed searches on cost-related insulin rationing, screening decisions and a missed study.

Why record the date of each search?

Database counts change as new studies are added, so the date lets a reader understand why their results might differ.

What does [tiab] mean in a PubMed search?

It limits a term to titles and abstracts, which makes results more focused than searching all fields.

What should you do when a known study does not appear in your search?

Treat the search as unfinished, try word variants and check reference lists of strong sources.

Why separate empirical studies from reviews and commentary?

Empirical studies supply data; reviews help with background, and commentary rarely supports factual claims on its own.