Evidence map›Paper›PMID 36320651›Full record

ArticleHealth science reports2022

Identifying unmet information needs of advanced cancer patients in Iran: An in-depth qualitative study.

Parasto Amiri, Ali Mohammadi, Kambiz Bahaadinbeigy, Behjat Kalantari Khandani, Vahid Maazed

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In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Parasto AmiriMedical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran.ORCID 0000-0002-5654-1987
Ali MohammadiDepartment of Health Information Technology, Paramedical School Kermanshah University of Medical Sciences Kermanshah Iran.
Kambiz BahaadinbeigyMedical Informatics Research Center, Institute for Futures Studies in Health Kerman University of Medical Sciences Kerman Iran.ORCID 0000-0002-5430-3758
Behjat Kalantari KhandaniDepartment of Oncology, Shahid Bahonar Hospital, School of Medicine Kerman University of Medical Sciences Kerman Iran.
Vahid MaazedHematology and Oncology, Faculty of Medicine Kerman University of Medical Sciences Kerman Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: One of the main vital needs for self-care in patients with advanced cancer is information need. Meeting this need has significant positive effects on improving their treatment and care. This study was conducted to identify the unmet information needs of patients with advanced cancer in Iran. Methods: This exploratory study was performed from July to February 2021 in the Kerman University of Medical Sciences cancer treatment centers. Oncologists selected eligible patients by purposeful sampling method. Semistructured and in-depth interviews were conducted with selected patients to collect data. Interviews continued until data saturation. Each interview was audio-recorded and transcribed verbatim. Results: In the interviews, 15 patients with advanced cancer ranging in age from 43 to 65 years participated. The most common type of cancer in women was breast (71.4%) and prostate (50%) in men. The two main categories of "types of unmet information needs" and "reasons for not meeting information needs" were extracted from the analysis of patient interviews, with six and four subcategories, respectively. Conclusion: Cancer patients had a large number of unmet information needs. At the time of identifying the unmet information needs of cancer patients, the basic reasons for not meeting these needs should also be considered because cultural differences and social gaps in societies are inevitable.

Indexed as

cancerqualitative studyself‐careunmet information needs

Identifiers

PMID36320651
PMCPMC9617646

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