ArticleBMC complementary and alternative medicine2011
Survey of CAM interest, self-care, and satisfaction with health care for type 2 diabetes at group health cooperative.
Article in BMC complementary and alternative medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- International prevalence of consultation with a naturopathic practitioner: a systematic review and meta-analysis.BMJ open · 2022Pooled it
- Community education and health promotion activities of naturopathic practitioners: results of an international cross-sectional survey.BMC complementary medicine and therapies · 2021Article
- Understanding CAM Use in Lebanon: Findings from a National Survey.Evidence-based complementary and alternative medicine : eCAM · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundVery little research has explored the factors that influence interest in complementary and alternative medicine (CAM) treatments. We surveyed persons with sub-optimally controlled type 2 diabetes to evaluate potential relationships between interest in complementary and alternative medicine (CAM) treatments, current self-care practices, motivation to improve self-care practices and satisfaction with current health care for diabetes.
methods321 patients from a large integrated healthcare system with type 2 diabetes, who were not using insulin and had hemoglobin A1c values between 7.5-9.5%, were telephoned between 2009-2010 and asked about their self-care behaviors, motivation to change, satisfaction with current health care and interest in trying naturopathic (ND) care for their diabetes. Responses from patients most interested in trying ND care were compared with those from patients with less interest.
results219 (68.5%) patients completed the survey. Nearly half (48%) stated they would be very likely to try ND care for their diabetes if covered by their insurance. Interest in trying ND care was not related to patient demographics, health history, clinical status, or self-care behaviors. Patients with greater interest in trying ND care rated their current healthcare as less effective for controlling their blood sugar (mean response 5.9 +/- 1.9 vs. 6.6 +/- 1.5, p = 0.003), and were more determined to succeed in self-care (p = 0.007). Current CAM use for diabetes was also greater in ND interested patients.
conclusionsPatients with sub-optimally controlled type 2 diabetes expressed a high level of interest in trying ND care. Those patients with the greatest interest were less satisfied with their diabetes care, more motivated to engage in self-care, and more likely to use other CAM therapies for their diabetes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.