Evidence map›Paper›PMID 40227280›Full record

ArticleJournal of the American Association of Nurse Practitioners2025

Methods and lessons from conducting a national study of primary care nurse practitioners.

Joshua Porat-Dahlerbruch, Madison Horton, Kathleen Flandrick, Kyle Featherston, Lusine Poghosyan, Grant Martsolf

Abstract read
In one paragraph

Article in Journal of the American Association of Nurse Practitioners, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Joshua Porat-DahlerbruchDepartment of Acute and Tertiary Care, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-8273-9399
Madison HortonCenter for Healthcare Delivery Research and Innovation, School of Nursing, Columbia University, New York, New York.
Kathleen FlandrickCenter for Healthcare Delivery Research and Innovation, School of Nursing, Columbia University, New York, New York.
Kyle FeatherstonCenter for Healthcare Delivery Research and Innovation, School of Nursing, Columbia University, New York, New York.
Lusine PoghosyanCenter for Healthcare Delivery Research and Innovation, School of Nursing, Columbia University, New York, New York.
Grant MartsolfDepartment of Acute and Tertiary Care, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

Systems Science and Comparative and Cost-Effectiveness Research Training for Nurse Scientists (S2CER2)T32NR014205 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Lusine Poghosyan, Jingjing Shang · 2013 to 2026
$4.2M
Care for Persons With Dementia in Nurse Practitioner Practices and Racial and Ethnic Health DisparitiesR01AG069143 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI POGHOSYAN, LUSINE · 2020 to 2024
$3.5M
NIA NIH HHS R01 AG069143NIA NIH HHS R01AG069143NINR NIH HHS T32 NR014205NINR NIH HHS T32NR014205
6 · The paper itself

Abstract

backgroundResearchers often rely on survey data to assess quality, cost, and outcomes of nurse practitioner (NP) care delivery. Achieving sufficient response rates with traditional survey methods (email, mail, phone calls) has become increasingly challenging. Moreover, survey data collection requires significant financial and labor resources, calling into question the efficiency of current approaches to survey data collection. PURPOSE: This study aims to describe survey data collection from a national sample of primary care NPs caring for persons living with dementia and discuss the methods and response rate in the context of challenges conducting survey-based research. METHODOLOGY: This was a cross-sectional survey conducted from November 2021 to October 2023 in 3 waves using a modified Dillman approach. The first wave was sent through physical mailings, and the second wave through email. After low response rates, the sampling frame was updated to include NPs not originally captured in the sampling frame.

resultsThe sampling frame included 11,518 NPs. Between 3 data collection waves, 3 survey mailings with 8 postcard reminders and 2 email surveys with 12 email reminders were sent. The response rate was 16.4% ( N = 968).

conclusionData collection took over 2 years as the approaches were modified due to low response. By the time addresses were obtained and surveys sent, it was likely that many addresses were no longer accurate. Our response rate is consistent with declining survey response rates among other health professions. IMPLICATIONS: Survey research may require more efficient data collection methods, such as targeted social media advertisements.

Indexed as

Data CollectionNurse PractitionersAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrimary Health CareSurveys and QuestionnairesDementianational surveysnurse practitionersprimary caresurvey methodssurveys

Identifiers

PMID40227280
PMCPMC13643724

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.