BACKGROUND: Unmet basic resource needs, such as difficulty affording healthcare, medications, food and housing, may contribute to worse healthcare quality indicators, but interventions are hampered by lack of specific knowledge regarding the distribution of unmet basic resource needs and their association with priority clinical conditions and health service use patterns. METHODS: Cross-sectional study of primary care patients in two urban academic practices from 1 October 2013 to 30 April 2014. Patients were screened for unmet needs and enrolled in a programme to link them with community resources. Key measures included patient report of unmet basic resource needs, clinical conditions prioritised by quality improvement programmes (hypertension, diabetes and depression), and health service use patterns such as frequent emergency department (ED) visits (>2 in the preceding year) and frequent clinic 'no-shows' (>1 in the preceding year). RESULTS: 416 patients with unmet needs were included, and compared with 2750 patients who did not report needs. The most common types of needs reported were: difficulties affording healthcare (46.5%), food (40.1%) and utilities (36.3%). Patients who reported unmet needs were more likely to have depression (17.8% vs 9.5%, p<0.0001), diabetes (32.7% vs 20.4%, p<0.0001), hypertension (54.3% vs 46.3%, p=0.002), be frequent ED users (11.3% vs 5.4%, p<0.0001), and have frequent 'no-shows' to clinic (21.6% vs 11.9%, p<0.0001). CONCLUSIONS: Difficulty affording healthcare and food are particularly common needs among patients with priority conditions. Strategies to identify and address unmet needs as part of routine care may be an important way to improve healthcare quality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
BACKGROUND: Unmet basic resource needs, such as difficulty affording healthcare, medications, food and housing, may contribute to worse healthcare quality indicators, but interventions are hampered by lack of specific knowledge regarding the distribution of unmet basic resource needs and their association with priority clinical conditions and health service use patterns. METHODS: Cross-sectional study of primary care patients in two urban academic practices from 1 October 2013 to 30 April 2014. Patients were screened for unmet needs and enrolled in a programme to link them with community resources. Key measures included patient report of unmet basic resource needs, clinical conditions prioritised by quality improvement programmes (hypertension, diabetes and depression), and health service use patterns such as frequent emergency department (ED) visits (>2 in the preceding year) and frequent clinic 'no-shows' (>1 in the preceding year). RESULTS: 416 patients with unmet needs were included, and compared with 2750 patients who did not report needs. The most common types of needs reported were: difficulties affording healthcare (46.5%), food (40.1%) and utilities (36.3%). Patients who reported unmet needs were more likely to have depression (17.8% vs 9.5%, p<0.0001), diabetes (32.7% vs 20.4%, p<0.0001), hypertension (54.3% vs 46.3%, p=0.002), be frequent ED users (11.3% vs 5.4%, p<0.0001), and have frequent 'no-shows' to clinic (21.6% vs 11.9%, p<0.0001). CONCLUSIONS: Difficulty affording healthcare and food are particularly common needs among patients with priority conditions. Strategies to identify and address unmet needs as part of routine care may be an important way to improve healthcare quality. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
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Keywords:
Chronic disease management; Healthcare quality improvement; Patient-centred care
Authors: Aisha James; Seth A Berkowitz; Jeffrey M Ashburner; Yuchiao Chang; Daniel M Horn; Sandra M O'Keefe; Steven J Atlas Journal: J Gen Intern Med Date: 2018-01-08 Impact factor: 5.128
Authors: Louise M Henderson; Ellen S O'Meara; Jennifer S Haas; Christoph I Lee; Karla Kerlikowske; Brian L Sprague; Jennifer Alford-Teaster; Tracy Onega Journal: J Womens Health (Larchmt) Date: 2020-05-05 Impact factor: 2.681