Evidence map›Paper›PMID 40821011›Full record

ArticleSAGE open nursing

The Impact of Home Care on Glycosylated Hemoglobin and Quality of Life in Type 2 Diabetes Patients Discharged After Surgery.

Maryam Heidarpour, Lila Faridani, Mojtaba Akbari, Amir Shahzeydi, Hamid Melali, Parvaneh Abazari

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Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Maryam HeidarpourIsfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0002-4809-4072
Lila FaridaniStudent Research Center, School of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, IR Iran.ORCID https://orcid.org/0000-0001-9270-2584
Mojtaba AkbariIsfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0002-5777-9612
Amir ShahzeydiMSC of Nursing. Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0001-9095-2424
Hamid MelaliAssistant Professor of Laparoscopic Department of Surgery, School of Medicine Amin Hospital. Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0002-7976-9706
Parvaneh AbazariAssociate Professor, Nursing and Midwifery Care Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID https://orcid.org/0000-0003-4024-2867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: More than a third of diabetes patients undergo surgery at least once in their lifetime. However, there is limited research on managing the needs of these patients after hospital discharge. Objective: This study aimed to determine the effect of home care on glycosylated hemoglobin (HbA1C) and quality of life in type 2 diabetes patients discharged from hospitals. Methods: This study was a randomized clinical trial. About 69 type 2 diabetes patients undergoing surgery were assigned to intervention and control groups after discharge orders. Home care was provided for three months with an interprofessional approach. Data collection tools included diabetes-related quality of life questionnaire and laboratory tests. Data were analyzed using SPSS version 23 with parametric and non-parametric tests. Results: HbA1C levels decreased significantly in the intervention group over the three-month period (P < 0.05), whereas this decrease was not significant in the control group (P > 0.05). The mean quality of life scores improved in satisfaction and future concern domains in the intervention group and in the social concern domain in the control group (P < 0.05). The mean changes in total quality of life scores over three months post-discharge were not significant in both groups (P > 0.05). Conclusions: The findings of this study indicate that structured home care delivered through a team-based approach contributes not only to improved glycemic control but also to enhancing specific dimensions of quality of life-particularly satisfaction with life despite diabetes and reduced concerns about the future-in post-surgical diabetic patients. These results emphasize the importance of incorporating such services into post-discharge care plans to support patient well-being and recovery.

Indexed as

glycosylated hemoglobinhome careType 2 diabetes

Identifiers

PMID40821011
PMCPMC12357014

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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.