Self-rated health trajectories: A dynamic time warp analysis

Doornenbal, Brian M.; Bakx, Renz

doi:10.1016/j.pmedr.2021.101510

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…This explanation is also likely to hold for the association with unscaled total cost predicted risk, as SRH has been reported to remain fairly stable over time. 36 SRH has also previously been reported to be linked to frailty, as suggested by the findings of the present study. Both Pilleron et al 37 and Chu et al 38 have reported linkages between SRH and concomitant or subsequent frailty.…”

Section: Discussionsupporting

confidence: 88%

“…This is a likely explanation for the association with the ACG variable concurrent risk. This explanation is also likely to hold for the association with unscaled total cost predicted risk, as SRH has been reported to remain fairly stable over time 36. SRH has also previously been reported to be linked to frailty, as suggested by the findings of the present study.…”

Section: Discussionsupporting

confidence: 77%

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Association between Johns Hopkins Adjusted Clinical Groups risk scores and self-reported outcome measures: an observational study among individuals with complex or long-term conditions in Norway

Hosar,

Steinsbekk

2023

BMJ Open

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ObjectiveInvestigate the association between Johns Hopkins Adjusted Clinical Groups (ACG) risk scores and low scores in self-reported outcome measures (SROMs) among individuals with complex or long-term conditions.DesignLongitudinal study using five ACG risk scores based on diagnoses from general practitioner (GP) visits in 1 year and responses to a survey including three SROMs 4 months later.SettingFour adjacent municipalities in Central Norway.ParticipantsNon-institutionalised individuals ≥18 years with ≥1 diagnosis code indicating a complex or long-term condition, ≥1 visit to a GP, and who participated in the survey (n=2944).MeasuresDependent variables were low scores in the three SROMs (threshold for being defined as a low score in parentheses): Patient Activation Measure (level 1–2), EQ-5D (<0.4) or self-rated health (‘Poor’). Independent variables were five ACG variables.ResultsThe individuals with the lowest scores in the three SROMs were mostly three separate groups. The lowest Patient Activation Measure scores were associated with high scores in the ACG variables unscaled total cost predicted risk (adjusted odds ratio (adjOR) 1.80) and positive frailty flag (adjOR 1.76). The lowest EQ-5D scores were associated with high scores in the ACG variables unscaled concurrent risk (adjOR 1.60) and probability persistent high user scores (adjOR 2.83). The lowest self-rated health scores were associated with high scores in the ACG variable unscaled concurrent risk scores (adjOR 1.77), unscaled total cost predicted risk scores (adjOR 2.14) and receiving a positive frailty flag (adjOR 1.82).ConclusionsThere were associations between ACG risk scores and subsequent low SROM scores. This suggests a potential to use diagnosis-based risk stratification systems as a proxy for SROMs to identify individuals with complex or long-term conditions for person-centred healthcare intervention.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 77%

Association between Johns Hopkins Adjusted Clinical Groups risk scores and self-reported outcome measures: an observational study among individuals with complex or long-term conditions in Norway

Hosar,

Steinsbekk

2023

BMJ Open

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“…Self-rated health, a construct that involves physical, mental and social aspects of life through the individual's general perception of his/her health [ 9 ], has been widely used in epidemiological studies because it is a simple, subjective, easy-to-evaluate and applicable measure [ 10 , 11 ]. It is also used for comparing health services and resource needs according to geographic areas and to calculate morbidity and mortality indicators [ 12 – 14 ] and functional decline [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Self-rated health status and associated factors in rural workers

et al. 2023

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Background Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics. Methods This is a cross-sectional study carried out with 787 male and female rural reporting agriculture as their main source of income in the municipality of Santa Maria de Jetibá. A simple and direct question was used “In general, compared to people your age, how do you rate your own state of health?” to see how rural workers rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression. Results It was found that 42.1% of rural workers self-rated their health status as regular or poor. Belonging to socioeconomic classes C (OR = 1.937; 95% CI = 1.009–3.720) or D/E (OR = 2.280; 95% CI = 1.178–4.415), being overweight (or having excess weight) (OR = 1.477; 95% CI = 1.086–2.008), multimorbidity (OR = 1.715; 95% CI = 1.201–2.447) and complex multimorbidity (OR = 1.738; 95% CI = 1.097–2.751) were risk factors for worse self-rated health. Conclusion It was concluded that chronic diseases, socioeconomic status and overweight are risk factors for negative self-rated health. The identification of these determinants through self-rated status can support the planning of actions aimed at improving the health of the rural population. Trial registration This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo (Protocol No. 2091172; CAAE No. 52839116.3.0000.5060). All research participants gave their informed consent.

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“…The self-rated health, a construct that involves physical, mental and social aspects of life through the individual's general perception of their health [9], has been widely used in epidemiological studies, since it is a simple, subjective, easy-to-evaluate and applicable measure [10,11]. It is also used to compare health services, resource needs according to geographic areas, calculation of morbidity and mortality indicators [12][13][14] and functional decline [15,16].…”

mentioning

confidence: 99%

Self-rated Health Status and Associated Factors in Rural Workers

Martins

Prado

Ferreira

et al. 2022

Preprint

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Background: Self-rated health status can be considered a good predictor of morbidity and mortality and has been used because of its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics.Methods: This is a cross-sectional study carried out with farmers of both sexes who had agriculture as their main source of income, in the municipality of Santa Maria de Jetibá. A simple and direct question was used: “In general, compared to people your age, how do you rate your own state of health?” to see how they rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression in levels. Results: It was found that 42.1% of farmers self-rated their health status as regular or poor. Females had a risk of worse self-rated health (OR=0,705; 95% CI: 0,522 - 0,951), socioeconomic classes C (OR=1,937; 95% CI: 1,009-3,720), D/E (OR= 2,280; 95% CI: 1,178-4,415), the body mass index (OR=1,477; 95% CI: 1,086-2,008), multimorbidity (OR=1,715; 95% CI: 1,201-2,447) and complex multimorbidity (OR=1,738;95% CI: 1,097-2,751). Conclusion: It was concluded that the presence of chronic diseases, socioeconomic status, female gender and overweight were risk factors for a negative self-rated health. The identification of these determinants through self-rated can support the planning of actions aimed at the health of the rural population.Register: This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo, under protocol number nº. 2091172 (CAAE 52839116.3.0000.5060). All research participants signed the Informed Consent Term.

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Self-rated health trajectories: A dynamic time warp analysis

Cited by 4 publications

References 23 publications

Association between Johns Hopkins Adjusted Clinical Groups risk scores and self-reported outcome measures: an observational study among individuals with complex or long-term conditions in Norway

Association between Johns Hopkins Adjusted Clinical Groups risk scores and self-reported outcome measures: an observational study among individuals with complex or long-term conditions in Norway

Self-rated health status and associated factors in rural workers

Self-rated Health Status and Associated Factors in Rural Workers

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