Evidence map›Paper›PMID 37448845›Full record

ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2023

Association between non-pharmacological therapy and healthcare use and expenditure of patients with diabetes mellitus.

Abdullah Alfaifi

Abstract read
In one paragraph

Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

1 author.

Abdullah AlfaifiDepartment of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj, 11942, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the sociodemographic and clinical characteristics of patients with diabetes who incorporated two non-pharmacological therapies into their lifestyle and the association between non-pharmacological therapy and healthcare utilization and expenditure. In the USA, 26.4 million people were reportedly diagnosed with diabetes and treated with diet modification or physical activity in the 2019 Medical Expenditure Panel Survey. Physical activity was defined as moderate-to-vigorous physical exercise five times per week, whereas dietary modification involved healthy eating that reduced glucose levels. Only 4.8 million patients with diabetes did not integrate any non-pharmacological intervention into their therapy regimen. Those who did not include non-pharmacological interventions had higher annual total healthcare expenditures (M = $18,428) than those who incorporated either single (M = $17,058) or dual intervention (M = $15,134). A significant difference was observed in prescribed medicine utilization per year for those who did not include lifestyle modifications or non-pharmacological interventions. Propensity score-matched participants revealed significant differences in hospital stays, outpatient visits, and emergency department expenditures. Patients with diabetes who adhered to two non-pharmacological interventions showed significantly lower healthcare utilization. Being active and following a healthy diet can help prevent the progression of diabetes mellitus complications and reduce the cost associated with diabetes.

Indexed as

DiabetesDiabetes managementDiet modificationEconomic costsPhysical activity

Identifiers

PMID37448845
PMCPMC10336783

What OpenQuestion holds

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Registered trials

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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.