Literature DB >> 33449968

Patient-reported outcomes for diabetes and hypertension care in low- and middle-income countries: A scoping review.

Sarah Masyuko1,2,3, Carrie J Ngongo1, Carole Smith1,4, Rachel Nugent1.   

Abstract

INTRODUCTION: Patient-reported outcome measures (PROMs) assess patients' perspectives on their health status, providing opportunities to improve the quality of care. While PROMs are increasingly used in high-income settings, limited data are available on PROMs use for diabetes and hypertension in low-and middle-income countries (LMICs). This scoping review aimed to determine how PROMs are employed for diabetes and hypertension care in LMICs.
METHODS: We searched PubMed, EMBASE, and ClinicalTrials.gov for English-language studies published between August 2009 and August 2019 that measured at least one PROM related to diabetes or hypertension in LMICs. Full texts of included studies were examined to assess study characteristics, target population, outcome focus, PROMs used, and methods for data collection and reporting.
RESULTS: Sixty-eight studies met the inclusion criteria and reported on PROMs for people diagnosed with hypertension and/or diabetes and receiving care in health facilities. Thirty-nine (57%) reported on upper-middle-income countries, 19 (28%) reported on lower-middle-income countries, 4 (6%) reported on low-income countries, and 6 (9%) were multi-country. Most focused on diabetes (60/68, 88%), while 4 studies focused on hypertension and 4 focused on diabetes/hypertension comorbidity. Outcomes of interest varied; most common were glycemic or blood pressure control (38), health literacy and treatment adherence (27), and acute complications (22). Collectively the studies deployed 55 unique tools to measure patient outcomes. Most common were the Morisky Medication Adherence Scale (7) and EuroQoL-5D-3L (7).
CONCLUSION: PROMs are deployed in LMICs around the world, with greatest reported use in LMICs with an upper-middle-income classification. Diabetes PROMs were more widely deployed in LMICs than hypertension PROMs, suggesting an opportunity to adapt PROMs for hypertension. Future research focusing on standardization and simplification could improve future comparability and adaptability across LMIC contexts. Incorporation into national health information systems would best establish PROMs as a means to reveal the effectiveness of person-centered diabetes and hypertension care.

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Mesh:

Year:  2021        PMID: 33449968      PMCID: PMC7810280          DOI: 10.1371/journal.pone.0245269

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  100 in total

1.  Screening techniques to identify people at high risk for diabetic foot ulceration: a prospective multicenter trial.

Authors:  H Pham; D G Armstrong; C Harvey; L B Harkless; J M Giurini; A Veves
Journal:  Diabetes Care       Date:  2000-05       Impact factor: 19.112

2.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Authors:  J Ware; M Kosinski; S D Keller
Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

3.  Validation of a diabetes-specific quality-of-life scale for patients with type 1 diabetes.

Authors:  U Bott; I Mühlhauser; H Overmann; M Berger
Journal:  Diabetes Care       Date:  1998-05       Impact factor: 19.112

4.  Assessment of medication adherence among type 2 diabetic patients in Quetta city, Pakistan.

Authors:  Qaiser Iqbal; Sajid Bashir; Javeid Iqbal; Shehla Iftikhar; Brian Godman
Journal:  Postgrad Med       Date:  2017-05-24       Impact factor: 3.840

5.  Impact of hypoglycaemia on patient-reported outcomes from a global, 24-country study of 27,585 people with type 1 and insulin-treated type 2 diabetes.

Authors:  Kamlesh Khunti; Saud Alsifri; Ronnie Aronson; Maja Cigrovski Berković; Catherine Enters-Weijnen; Tom Forsén; Gagik Galstyan; Petronella Geelhoed-Duijvestijn; Margalit Goldfracht; Helge Gydesen; Rahul Kapur; Nebojsa Lalic; Bernhard Ludvik; Erik Moberg; Ulrik Pedersen-Bjergaard; Ambady Ramachandran
Journal:  Diabetes Res Clin Pract       Date:  2017-05-12       Impact factor: 5.602

Review 6.  The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10.

Authors:  D V Sheehan; Y Lecrubier; K H Sheehan; P Amorim; J Janavs; E Weiller; T Hergueta; R Baker; G C Dunbar
Journal:  J Clin Psychiatry       Date:  1998       Impact factor: 4.384

7.  Expectations about and experiences with insulin therapy contribute to diabetes treatment satisfaction in insulin-naïve patients with type 2 diabetes.

Authors:  A N Naegeli; R P Hayes
Journal:  Int J Clin Pract       Date:  2010-03-30       Impact factor: 2.503

8.  Impact of Diabetic Retinopathy on Health-related Quality of Life in Iranian Diabetics.

Authors:  Cyrus Alinia; Seyed-Farzad Mohammadi; Alireza Lashay; Arash Rashidian
Journal:  Iran J Public Health       Date:  2017-01       Impact factor: 1.429

9.  Hypoglycemia awareness among insulin-treated patients with diabetes in Malaysia: A cohort subanalysis of the HAT study.

Authors:  Zanariah Hussein; Nor Azmi Kamaruddin; Siew Pheng Chan; Anand Jain; Shweta Uppal; Wan Mohamad Wan Bebakar
Journal:  Diabetes Res Clin Pract       Date:  2017-08-14       Impact factor: 5.602

10.  Differences in symptoms and presentation delay times in myocardial infarction patients with and without diabetes: A cross-sectional study in Pakistan.

Authors:  Saba Ahmed; Ariba Khan; Syed Ibaad Ali; Mohammad Saad; Hafsa Jawaid; Mahnoor Islam; Hanieya Saiyed; Sarosh Fatima; Aiman Khan; Maleeha A Basham; Syeda Asfia Hussain; Maheen Akhtar; Fatima Kausar; Afshan Hussain; Kaneez Fatima
Journal:  Indian Heart J       Date:  2017-07-27
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