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. 2025 Jun 3;73(9):2859–2867. doi: 10.1111/jgs.19553

Factors Associated With Hospitalization for Hypoglycemia and Hyperglycemia Among Older People in Long‐Term Care Facilities

Yohanes A Wondimkun 1,2,✉, Gillian E Caughey 2,3, Maria C Inacio 2,3, Tracy Air 2, Catherine Lang 2, Michelle Hogan 4, Janet K Sluggett 1,2
PMCID: PMC12460984  PMID: 40460058

ABSTRACT

Background

Individuals with diabetes newly entering long‐term care facilities (LTCFs) encounter changes in care needs and facility and care process‐related factors, which potentially impact diabetes treatment outcomes. This study examined the 12‐month incidence of hospitalizations for hypoglycemia and hyperglycemia in residents with diabetes and factors associated with these hospitalizations following LTCF entry.

Methods

This retrospective cohort study included residents aged ≥ 65 years with diabetes who entered a LTCF between 2015 and 2018 using data from the Registry of Senior Australians. Cumulative incidence of hospitalization for hypoglycemia or hyperglycemia in the 12 months following entry was evaluated. Factors associated with hypoglycemia or hyperglycemia hospitalizations were examined using a Fine–Gray model, accounting for the competing event of mortality. Subdistribution hazard ratios (sHRs) were reported.

Results

Of the 55,734 individuals included (median age 84 years), 1.0% (95% confidence interval [CI]: 0.9–1.1) were hospitalized for hypoglycemia, and 0.5% (95% CI: 0.4–0.6) for hyperglycemia in the 12 months after LTCF entry. Factors associated with a higher rate of hospitalization for hypoglycemia included high (sHR: 2.59, 95% CI: 1.61–4.17) or medium (sHR: 2.61, 95% CI: 1.61–4.24) level of care needs, renal disease (sHR: 1.22, 95% CI: 1.01–1.49), prior hospitalization with hypoglycemia (sHR: 2.18, 95% CI: 1.77–2.67) or hyperglycemia (sHR: 1.61, 95% CI: 1.19–2.18), use of insulin (sHR: 6.15, 95% CI: 4.99–7.59), sulfonylureas (sHR: 1.41, 95% CI: 1.14–1.74), or angiotensin‐converting enzyme inhibitors (sHR: 1.23, 95% CI: 1.02–1.47). Factors associated with a higher rate of hospitalization for hyperglycemia included preferred spoken language other than English (sHR: 1.40, 95% CI: 1.02–1.93), dementia (sHR: 1.39, 95% CI: 1.08–1.80), prior hospitalization with hyperglycemia (sHR: 3.88, 95% CI: 2.72–5.53) or hypoglycemia (sHR: 2.50, 95% CI: 1.83–3.41), use of insulin (sHR: 2.01, 95% CI: 1.51–2.69), or metformin (sHR: 1.42, 95% CI: 1.10–1.84).

Conclusions

The risk of hospitalization for hypoglycemia or hyperglycemia may be reduced through diabetes care planning at LTCF entry informed by the identified risk factors for these complications.

Keywords: care homes, diabetes, diabetes complications, hospitalization, hyperglycemia, hypoglycemia, long‐term care facilities, nursing homes, older people


Summary.

  • Key points:
    • ○
      Incidence of hospitalization within 12 months of LTCF entry was 1.0% for hypoglycemia, and 0.5% for hyperglycemia.
    • ○
      Risk of hospitalization for hypoglycemia was higher among individuals with greater complex care needs, renal disease, use of insulin, sulfonylurea or angiotensin‐converting enzyme inhibitors, and prior hospitalization with hypoglycemia or hyperglycemia.
    • ○
      Risk of hospitalization for hyperglycemia was higher among individuals whose preferred spoken language was not English, individuals with dementia, those receiving insulin or metformin, and prior hospitalization with hypoglycemia or hyperglycemia.
  • Why does this paper matter?
    • ○
      Hypoglycemia or hyperglycemia are important acute diabetes complications that can lead to hospital admission, negatively affecting residents' health and quality of life, and increasing the cost of care.
    • ○
      This study demonstrated that while the incidence of hospitalization for hypoglycemia and hyperglycemia is low, it remains a concern in LTCFs, with risk factors associated with these hospitalizations within their first 12 months of residents' stay identified using national real‐world data.
    • ○
      These complications can be prevented through individualized diabetes treatment plans at the time of LTCF entry that account for identified risk factors.

1. Introduction

Diabetes disproportionately affects the older population, with prevalence reaching up to 37% for individuals in long‐term care facilities (LTCFs) [1, 2]. Diabetes complications are a leading but potentially preventable cause of hospitalization among older people with diabetes, contributing to increased morbidity, mortality, and health care costs [3, 4, 5]. In the LTCF population, hospitalizations can increase the risk of further complications such as infection and cognitive impairment, and compromise quality of life [6]. Hypoglycemia and hyperglycemia are acute, life‐threatening diabetes complications which could have deleterious effects for frail older people in LTCFs and may contribute to hospitalizations [7, 8].

LTCF entry is associated with changes in individuals' care needs, care providers, food intake, and a higher risk of infection, potentially affecting diabetes treatment outcomes [9, 10]. Previous small studies conducted in LTCFs that report hypoglycemia and hyperglycemia incidence largely focus on blood glucose test results [11, 12, 13], with few examining severe complications resulting in hospitalization [14, 15]. Although studies conducted among community‐dwelling older adults have identified various individual and medicine‐related factors associated with the incidence of hypoglycemia or hyperglycemia [16, 17, 18], there is limited evidence from LTCFs [19], where individuals are likely to encounter unique facility and care process‐related factors at admission. Hence, identifying residents at increased risk of hospitalization for hypoglycemia or hyperglycemia following LTCF entry can enable proactive care planning and tailored glycemic targets, and potentially lead to hospitalization avoidance. This study examined the 12‐month incidence of hospitalization for hypoglycemia and hyperglycemia and factors associated with these hospitalizations following LTCF entry.

2. Methods

2.1. Study Design, Setting, and Data Source

This retrospective cohort study was conducted using the National Historical Cohort of the Registry of Senior Australians (ROSA). ROSA links aged care, health care, and social welfare data, providing de‐identified details of sociodemographic characteristics, health conditions, care needs, use of outpatient health care services, use of medicines, hospitalizations, emergency department presentations, and mortality for older individuals who received government‐subsidized aged care services from 2002 onwards [20]. This study used the aged care assessments and services, mortality, pharmaceutical, and hospital admission datasets (Text S1).

2.2. Study Cohort

Individuals aged ≥ 65 years with diabetes from four Australian states (New South Wales, Victoria, Queensland, and South Australia), who did not identify as Aboriginal or Torres Strait Islander, and first entered a LTCF between 01/01/2015 and 31/12/2018 were included (Figure S1). Diabetes status was ascertained using aged and/or health care data (pharmaceutical and hospital claims) as previously published [1]. The cohort was followed up for up to 12 months from LTCF entry until LTCF exit, death (i.e., competing risk) or 31/12/2019, whichever occurred first.

2.3. Outcomes of Interest

The main outcomes of interest were time to first unplanned hospitalization or emergency department presentation with a primary diagnosis of hypoglycemia or hyperglycemia at a public hospital in the 12 months following LTCF entry, identified using International Statistical Classification of Disease and Related Problems, 10th Revision, Australian Modification (ICD‐10‐AM) code (Table S1) [21].

2.4. Covariates

Individual, LTCF, health service, and medicine utilization‐related covariates were used to characterize the study cohort and examine factors associated with hospitalization for hypoglycemia or hyperglycemia (Text S2). Individual and LTCF characteristics included age at LTCF entry, sex, place of birth, preferred spoken language, Rx‐Risk‐V pharmaceutical‐based comorbidity score [22], specific health conditions, level of complex care needs, LTCF ownership, state, and remoteness. Health service and medicine utilization covariates included hospitalization with hypoglycemia or hyperglycemia and use of glucose‐lowering medicine and medicines potentially affecting blood glucose levels before LTCF entry.

2.5. Statistical Analysis

The cumulative incidence function estimated the probability of hypoglycemia or hyperglycemia in the 12 months following LTCF entry, accounting for the competing risk of mortality. Fine–Gray subdistribution hazard regression models were used to estimate subdistribution hazard ratios (sHRs) with 95% confidence intervals (CIs) and to analyze the relative effect of covariates on the cumulative incidence of the outcomes of interest. The proportionality assumption was checked using Schoenfeld residuals and examined using log (−log) plots. Statistical significance was set at α = 0.05. All estimations used complete case analyses as only ~2.7% of cases (n = 1530 for hypoglycemia and n = 1527 for hyperglycemia) were excluded due to missing data.

2.6. Sensitivity Analysis

The incidence of hospitalization and associated factors for hypoglycemia or hyperglycemia using either primary and/or secondary diagnoses ICD‐10 AM codes, the primary reason for hospitalization among those with hypoglycemia or hyperglycemia in their secondary diagnoses, and cause of death in the 12 months following LTCF entry were examined.

Data were analyzed using SAS (version 9.4, SAS Institute Inc., Cary, NC, USA), Stata Statistical Software (Release 18, TM: StataCorp LLC), and R V 4.3.3.

3. Results

Of the 55,734 individuals included, 53.9% (n = 30,066) were female, 46.5% (n = 25,905) were living with dementia, and the median age was 84 years (interquartile range [IQR]: 78–88) (Table 1). In the 12 months preceding LTCF entry, 8.5% (n = 4734) were hospitalized with hypoglycemia, and 2.8% (n = 1580) were hospitalized with hyperglycemia. Over the 12‐month follow‐up period, 33.1% (n = 18,435) of individuals died, with cardiovascular disease accounting for 28.4% (n = 5231) of these deaths (Table S2).

TABLE 1.

Characteristics of the study cohort (n = 55,734).

Characteristics of residents n (%) or median (IQR)
Sociodemographic
Age at LTCF entry, median (IQR) 84 (78–88)
Female, n (%) 30,066 (53.9)
Born in Australia, n (%) a 34,556 (62.1)
Preferred spoken language: English b 47,376 (85.4)
Australian state of residence, n (%)
New South Wales 21,493 (38.6)
Victoria 17,479 (31.4)
Queensland 10,886 (19.5)
South Australia 5876 (10.5)
Remoteness of residence, n (%) c
Major city 38,709 (69.7)
Outside major city 16,877 (30.4)
LTCF ownership, n (%)
Not‐for‐profit 29,197 (52.4)
For‐profit 23,787 (42.7)
Government 2750 (4.9)
Health conditions
Rx‐Risk‐V comorbidity score, median (IQR) d 6 (4–7)
0–4, n (%) 18,779 (33.7)
5–6, n (%) 16,967 (30.4)
≥ 7, n (%) 19,988 (35.9)
Specific health conditions, n (%)
Dementia 25,905 (46.5)
Heart failure 17,558 (31.5)
Ischemic heart disease 17,371 (31.2)
Fall 17,185 (30.8)
Cerebrovascular disease 14,458 (25.9)
Renal disease 12,096 (21.7)
Health care needs
Activities of daily living needs, n (%) e
Nil or low 8433 (15.5)
Medium 17,183 (31.5)
High 28,957 (53.1)
Behavioral daily living needs, n (%) e
Nil or low 13,170 (24.1)
Medium 14,908 (27.3)
High 26,495 (48.5)
Complex health care needs, n (%) e
Nil or low 9289 (17.0)
Medium 15,407 (28.2)
High 29,877 (54.7)
Health services utilization
History of hospitalization with diabetes complications in the 12 months before LTCF entry, n (%) f
Renal complication 15,461 (27.7)
Neurological complication 5910 (10.6)
Hypoglycemia 4734 (8.5)
Peripheral vascular complication 4641 (8.3)
Ophthalmic complication 3513 (6.3)
Hyperglycemia 1580 (2.8)
Number of emergency department presentations in the 12 months before LTCF entry, n (%)
None 13,364 (24.0)
1 14,640 (26.3)
2–4 20,988 (37.7)
≥ 5 6742 (12.1)
Number of unplanned hospitalizations in the 12 months before LTCF entry, n (%)
None 14,419 (25.9)
1 18,118 (32.5)
2–4 19,638 (35.2)
≥ 5 3559 (6.4)
Medicines use
Number of unique medicines dispensed in the 6 months before LTCF entry, median (IQR) 10 (7–14)
0–4, n (%) 5643 (10.1)
5–10, n (%) 22,595 (40.5)
≥ 11, n (%) 27,496 (49.3)
Glucose‐lowering medicines dispensed in the 3 months before LTCF entry, n (%)
Any glucose‐lowering medicine 31,681 (56.8)
Metformin 20,595 (37.0)
Sulfonylurea 11,222 (20.1)
Insulin g 10,073 (18.1)
Dipeptidyl peptidase 4 inhibitors 7324 (13.1)
Sodium‐glucose co‐transporter 2 inhibitors 738 (1.3)
Thiazolidinediones 357 (0.6)
Glucagon‐like peptide 1 receptor agonists 220 (0.4)
Acarbose 164 (0.3)
Medicines potentially affecting blood glucose levels that were dispensed in the 6 months before LTCF entry, n (%)
Beta blockers 20,461 (36.7)
Angiotensin‐converting enzyme inhibitors 17,414 (31.2)
Systemic corticosteroids 8181 (14.7)
Antipsychotics 7343 (13.2)
Thiazide diuretics 1308 (2.3)
Fibrates 1610 (2.9)

Abbreviations: IQR, interquartile range; LTCF, long‐term care facility.

a

Missing (n = 133).

b

Missing (n = 234).

c

Missing (n = 138).

d

Excluding diabetes.

e

Missing (n = 1161).

f

Principal and secondary diagnosis codes evaluated in the year before long‐term care facility entry.

g

Supplies were assessed 6 months before long‐term care facility entry.

The cumulative incidence of hospitalization for hypoglycemia over 12 months was 1.0% (95% CI: 0.9–1.1, n = 530 individuals) (Figure 1). The 12‐month cumulative incidence of hospitalization for hyperglycemia was 0.5% (95% CI: 0.4–0.6, n = 276 individuals).

FIGURE 1.

FIGURE 1

Cumulative incidence of hospitalizations for (a) hypoglycemia or (b) hyperglycemia (primary diagnosis) and competing risk of mortality in the 12 months after long‐term care facility entry.

Factors associated with hospitalization for hypoglycemia included high (sHR: 2.59, 95% CI: 1.61–4.17) or medium (sHR: 2.61, 95% CI: 1.61–4.24) complex care needs compared to low or none, prior hospitalization with hypoglycemia (sHR: 2.18, 95% CI: 1.77–2.67) or hyperglycemia (sHR: 1.61, 95% CI: 1.19–2.18), use of insulin (sHR: 6.15, 95% CI: 4.99–7.59), sulfonylureas (sHR: 1.41, 95% CI: 1.14–1.74), or angiotensin‐converting enzyme inhibitors (sHR: 1.23, 95% CI: 1.02–1.47) (Table 2).

TABLE 2.

Factors associated with hospitalization for hypoglycemia or hyperglycemia (primary diagnosis) in the 12 months after long‐term care facility entry (n = 54,204).

Covariates Hypoglycemia Hyperglycemia
sHR (95% CI) p sHR (95% CI) p
Sociodemographic
Age (per 1 year increment) 1.01 (0.99–1.02) 0.288 0.98 (0.97–1.00) 0.074
Female vs. male 1.10 (0.92–1.31) 0.313 0.91 (0.72–1.17) 0.470
Preferred spoken language (other vs. English) 1.19 (0.93–1.52) 0.164 1.40 (1.02–1.92) 0.038
Australian state of residence
Queensland vs. New South Wales 1.24 (0.99–1.56) 0.066 1.54 (1.11–2.14) 0.010
South Australia vs. New South Wales 1.00 (0.74–1.35) 0.989 1.36 (0.90–2.05) 0.146
Victoria vs. New South Wales 0.76 (0.60–0.95) 0.017 1.11 (0.82–1.51) 0.499
Remoteness of residence
Outside major city vs. Major city 1.07 (0.87–1.32) 0.498 1.02 (0.76–1.38) 0.874
LTCF ownership
Not for profit vs. Government 1.52 (0.89–2.59) 0.129 1.32 (0.63–2.76) 0.464
For profit vs. Government 1.43 (0.83–2.47) 0.198 1.72 (0.82–3.62) 0.154
Health conditions
Dementia (yes vs. no) 1.18 (0.99–1.42) 0.064 1.39 (1.08–1.80) 0.011
Heart failure (yes vs. no) 0.70 (0.57–0.86) 0.001 0.55 (0.40–0.75) < 0.001
Ischemic heart disease (yes vs. no) 0.93 (0.76–1.13) 0.449 0.91 (0.69–1.21) 0.516
Cerebrovascular disease (yes vs. no) 0.89 (0.73–1.09) 0.265 1.07 (0.82–1.40) 0.638
Renal disease (yes vs. no) 1.22 (1.01–1.49) 0.042 0.91 (0.67–1.24) 0.563
Complex health care needs
Medium vs. nil or low 2.61 (1.61–4.24) < 0.001 1.05 (0.68–1.63) 0.811
High vs. nil or low 2.59 (1.61–4.17) < 0.001 1.26 (0.84–1.90) 0.266
Health services utilization
History of hospitalization with diabetes complications in the 12 months before LTCF entry
Hypoglycemia (yes vs. no) 2.18 (1.77–2.67) < 0.001 2.50 (1.83–3.41) < 0.001
Hyperglycemia (yes vs. no) 1.61 (1.19–2.18) 0.002 3.88 (2.72–5.53) < 0.001
Ophthalmic complication (yes vs. no) 1.24 (0.96–1.61) 0.100 1.04 (0.68–1.58) 0.857
Peripheral vascular complication (yes vs. no) 1.06 (0.82–1.37) 0.672 0.91 (0.63–1.33) 0.627
Neurological complication (yes vs. no) 1.15 (0.91–1.46) 0.232 1.04 (0.69–1.56) 0.845
Medicines use
Number of unique medicines dispensed in the 6 months before LTCF entry
5–11 vs. 0–4 0.92 (0.62–1.38) 0.700 1.09 (0.68–1.75) 0.706
≥ 11 vs. 0–4 0.86 (0.57–1.31) 0.493 0.94 (0.57–1.55) 0.814
Glucose‐lowering medicines dispensed in the 3 months before LTCF entry
Metformin 0.76 (0.62–0.93) 0.006 1.42 (1.10–1.84) 0.008
Sulfonylurea 1.41 (1.14–1.74) 0.001 1.24 (0.93–1.65) 0.139
Insulin a 6.15 (4.99–7.59) < 0.001 2.01 (1.51–2.69) < 0.001
Dipeptidyl peptidase 4 inhibitors 1.04 (0.82–1.33) 0.725 1.28 (0.93–1.75) 0.129
Sodium‐glucose co‐transporter 2 inhibitors 1.13 (0.63–2.03) 0.670 0.79 (0.32–1.92) 0.600
Medicines potentially affecting blood glucose levels that were dispensed in the 6 months before LTCF entry
Systemic corticosteroids 0.98 (0.76–1.26) 0.879 0.63 (0.41–0.97) 0.037
Beta blockers 1.17 (0.97–1.42) 0.094 Not included —
Angiotensin‐converting enzyme inhibitors 1.23 (1.02–1.47) 0.031 Not included —
Antipsychotics Not included — 1.27 (0.92–1.76) 0.144

Note: The bolded values indicate statistically significant associations.

Abbreviations: LTCF, long‐term care facility; sHR, subdistribution hazard ratio.

a

Supplies were assessed 6 months before long‐term care facility entry.

Factors associated with hyperglycemia hospitalizations included preferred spoken language other than English (sHR: 1.40, 95% CI: 1.02–1.92), presence of dementia 1.39 (95% CI: 1.08–1.80), prior hospitalization with hyperglycemia (sHR: 3.88, 95% CI: 2.72–5.53) or hypoglycemia (sHR: 2.50, 95% CI: 1.83–3.41), use of insulin (sHR: 2.01, 95% CI: 1.51–2.69), or metformin (sHR: 1.42, 95% CI: 1.10–1.84) (Table 2).

Using the primary and secondary diagnostic codes in our sensitivity analysis, the cumulative incidence of hospitalization for hypoglycemia was 3.1% (95% CI: 3.0–3.3, n = 1700 individuals) (Figure S2a), and hyperglycemia was 2.1% (95% CI: 2.2–2.2, n = 1156 individuals) (Figure S2b). Factors associated with hospitalization for hypoglycemia or hyperglycemia remained largely unchanged from the primary analysis (Table S3). The most common primary diagnosis among individuals hospitalized with hypoglycemia or hyperglycemia was diseases of the respiratory system followed by circulatory system disease (Table S4).

4. Discussion

This population‐based study of older people with diabetes following entry to LTCFs identified a 1.0% cumulative incidence of hospitalization for hypoglycemia and 0.5% for hyperglycemia over 12 months. Ten factors were associated with hospitalizations for hypoglycemia, including complexity of health care needs, prior hospitalization with hypoglycemia or hyperglycemia, and insulin or sulfonylurea use. Nine factors were associated with hospitalization for hyperglycemia, including preferred spoken language, dementia, prior hospitalization with hypoglycemia or hyperglycemia, and insulin use. The findings highlight that hypoglycemia and hyperglycemia remain a concern in LTCFs. These events can potentially be prevented through diabetes management interventions targeting the identified modifiable associated risk factors.

The incidence of hospitalization for hypoglycemia and hyperglycemia in our study is lower than reported in the previous studies from LTCFs [11, 12, 13, 14]. These studies largely defined hypoglycemia and hyperglycemia based on blood glucose test results as documented in case notes. Our study included only the most severe cases that resulted in hospitalization as identified from principal diagnosis codes. However, the inclusion of primary and secondary hospitalization diagnoses identified a higher incidence, highlighting the contribution of other health conditions to hypoglycemia and hyperglycemia incidence.

Several of the factors associated with hypoglycemia or hypoglycemia identified were concordant with previous studies in community‐dwelling older people [16, 17, 18]. In the present study, insulin was associated with a higher risk of both hypoglycemia and hyperglycemia. Previous studies have shown an increase in insulin use around the time of LTCF entry, along with a high overall prevalence of use [10, 23]. Our study is also consistent with reports indicating an increased risk of hypoglycemia among sulfonylurea users [19]. Further, the higher risk of hypoglycemia or hyperglycemia among people with a prior episode(s) of both complications suggests potential glycemic variability, hence a need for closer glucose monitoring in these individuals. These findings support current guideline recommendations to limit insulin and sulfonylurea use among frail older adults living in LTCFs [24].

In the current study, individuals with greater complex health care needs were at higher risk of hospitalization for hypoglycemia. People with a higher level of health care needs are more dependent on care providers for their diabetes management, and variability in practices could increase the risk of hypoglycemia [25]. A higher risk of hospitalization for hyperglycemia among individuals with dementia in our study disagrees with previous studies that have largely reported a higher risk of hypoglycemia [16, 26]. While this may be due to care providers adopting a cautious approach in terms of diabetes management, it highlights the potential for undertreatment. Further, individuals whose preferred spoken language was not English had a higher risk of hospitalization for hyperglycemia, which may potentially be associated with communication difficulties. Signs and symptoms associated with hyperglycemia are often attributed to other diseases in older people, and these, particularly in people with communication barriers, may result in failure of early recognition and treatment initiation [27].

4.1. Strengths and Limitations

This study used comprehensive, national‐level data covering ~87% of the total LTCF population in Australia to examine factors associated with both hypoglycemia and hyperglycemia in the 12 months following LTCF entry. Our findings highlight the importance of identifying individuals at higher risk for these complications by health and aged care providers to inform care planning at the time of LTCF entry.

This study has limitations. Diabetes laboratory test results, including glycated hemoglobin (HbA1c) are not captured in ROSA. We were unable to examine by type of diabetes, but a previous study identified that > 99% of residents with diabetes in LTCFs have type 2 diabetes [28]. This study included public hospital claims data only, as private hospital data was not available for all states included. This may underestimate the true incidence of hypoglycemia and hyperglycemia, but its overall impact is likely minimal, as 92% of all unplanned hospitalizations in Australia are managed in public hospitals [29]. In Australia, complex cases are typically managed in public hospitals, highlighting the potential for variations among individuals treated in public versus private hospitals [30]. Although we were unable to examine factors associated with the studied outcomes for a subset of the cohort with private hospital data due to the small number of events, the identified factors are expected to be largely similar. This study included hypoglycemia and hyperglycemia hospitalizations only, and while this provides good specificity, it underestimates the true incidence of hypoglycemia and hyperglycemia within LTCFs [31]. Finally, the glucose‐lowering medicine used at LTCF entry may not reflect use over the 12 months following LTCF entry, and future studies should consider the potential impact of diabetes treatment changes during the follow‐up period.

5. Conclusion

While hospitalization incidence for hypoglycemia and hyperglycemia was low in the 12 months following LTCF entry, an opportunity for early identification and risk mitigation for individuals at increased risk of poor diabetes‐related outcomes exists. The risk of hospitalization for hypoglycemia was higher with greater health care needs, insulin or sulfonylurea use, whereas individuals whose preferred spoken language was not English, those with dementia, and dispensed insulin were at higher risk of hospitalization for hyperglycemia. Implementation of individualized diabetes treatment plans at the time of LTCF entry that account for identified risk factors may help to reduce hospitalizations for hypoglycemia and hyperglycemia.

Author Contributions

Y.A.W., G.E.C., M.C.I., and J.K.S. conceived the study. Y.A.W. drafted the study protocol, analyzed the data, wrote the manuscript, and is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors participated in study design, contributed to the interpretation of results, critically reviewed the manuscript, and read and approved the final manuscript.

Conflicts of Interest

J.K.S. is a nonexecutive director of Southern Cross Care SA, NT & VIC (aged care provider organization). The other authors declare no conflicts of interest.

Supporting information

Text S1. Data source.

Text S2. Covariates.

Figure S1. Cohort selection flowchart.

Figure S2. Cumulative incidence of hospitalization with a primary and/or secondary diagnosis of (a) hypoglycemia or (b) hyperglycemia and competing risk of mortality in the 12 months after LTCF entry.

Table S1. International Statistical Classification of Disease and Related Problems, 10th Revision, Australian Modification (ICD‐10‐AM) codes used to identify hospitalizations for hypoglycemia or hyperglycemia.

Table S2. Cause of death among individuals with diabetes in the 12 months after long‐term care facility entry.

Table S3. Factors associated with hospitalization for hypoglycemia or hyperglycemia (primary diagnosis and/or secondary diagnosis) in the 12 months after long‐term care facility entry (n = 54,204).

Table S4. Primary reason for all‐cause hospitalization, and hospitalization with a secondary diagnosis of hypoglycemia or hyperglycemia among individuals with diabetes in the 12 months after long‐term care facility entry, n (%).

JGS-73-2859-s001.pdf (351.8KB, pdf)

Acknowledgments

We would like to acknowledge the Registry of Senior Australians’ (ROSA) Steering Committee, Consumer and Community Advisory Committee, Aboriginal and Torres Strait Islander Advisory Committee, and the ROSA Research Centre team based at the South Australian Health and Medical Research Institute (SAHMRI) and the Caring Futures Institute, College of Nursing and Health Science Flinders University for ensuring the success of the ROSA and support with this study. We also acknowledge the South Australian Government Department for Innovation and Skills (2017–2021) who provided us with support to establish ROSA, the Australian Government Medical Research Future Fund (2021–2024, PHRDI000009 and 2024–2029 NCRI000109), and ROSA collaborating partners (SAHMRI, ECH Inc., Silverchain, Bolton Clarke) for its ongoing support, and the Australian Institute of Health and Welfare for the linkage and construction of input data, SA Health, NSW Ministry of Health, VIC Department of Health (DH), and QLD Health for the provision of the state‐based admitted and emergency department data used in the ROSA with linkage via the AIHW, Centre for Health Record Linkage (CHeReL), the Centre for Victorian Data Linkage (CVDL, Victorian Department of Health), SA NT DataLink, and Queensland Health’s Statistical Services Branch. We also acknowledge our consumer engagement advisor Ms. Helen Radoslovich who provided us with insights into the interpretation of our findings. Open access publishing facilitated by University of South Australia, as part of the Wiley ‐ University of South Australia agreement via the Council of Australian University Librarians.

Wondimkun Y. A., Caughey G. E., Inacio M. C., et al., “Factors Associated With Hospitalization for Hypoglycemia and Hyperglycemia Among Older People in Long‐Term Care Facilities,” Journal of the American Geriatrics Society 73, no. 9 (2025): 2859–2867, 10.1111/jgs.19553.

Funding: Yohanes A. Wondimkun was supported by Australian Government Research Training Program (RTP) Scholarships. Gillian E. Caughey (GNT2026400), Maria C. Inacio (GNT119378), and Janet K. Sluggett (GNT2016277) are supported by the National Health and Medical Research Council (NHMRC) Investigator Grants.

References

  • 1. Wondimkun Y. A., Caughey G. E., Inacio M. C., Lang C., Hogan M., and Sluggett J. K., “Diabetes Ascertainment Among Older Australians Residing in Long‐Term Care Facilities,” Journal of the American Geriatrics Society 72, no. 3 (2024): 946–948. [DOI] [PubMed] [Google Scholar]
  • 2. Farahvash A., McCarthy L. M., Thompson W., Podolsky S., and Lega I. C., “The Prevalence and Regional Variability of Diabetes Among Nursing Home Residents in Ontario,” Journal of the American Geriatrics Society 72, no. 2 (2024): 627–630. [DOI] [PubMed] [Google Scholar]
  • 3. Gregg E. W., Li Y., Wang J., et al., “Changes in Diabetes‐Related Complications in the United States, 1990–2010,” New England Journal of Medicine 370, no. 16 (2014): 1514–1523. [DOI] [PubMed] [Google Scholar]
  • 4. Crane M. A., Lam A., Ekanayake E., et al., “Mortality due to Hyperglycemic Crises in the US, 1999‐2022,” Journal of the American Medical Association 331 (2024): 440–442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Zinman B., Marso S. P., Christiansen E., Calanna S., Rasmussen S., and Buse J. B., “Severe Hypoglycaemia, Cardiovascular Outcomes and Death: The LEADER Experience,” Diabetologia 60, no. 1 (2017): S74–S75. [DOI] [PubMed] [Google Scholar]
  • 6. Harrison S. L., Lang C., Eshetie T. C., et al., “Hospitalisations and Emergency Department Presentations by Older Individuals Accessing Long‐Term Aged Care in Australia,” Australian Health Review 48 (2024): 182–190. [DOI] [PubMed] [Google Scholar]
  • 7. Harding J. L., Pavkov M. E., Magliano D. J., Shaw J. E., and Gregg E. W., “Global Trends in Diabetes Complications: A Review of Current Evidence,” Diabetologia 62, no. 1 (2019): 3–16. [DOI] [PubMed] [Google Scholar]
  • 8. Umpierrez G. E., Davis G. M., ElSayed N. A., et al., “Hyperglycaemic Crises in Adults With Diabetes: A Consensus Report,” Diabetologia 67, no. 8 (2024): 1455–1479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Sluggett J. K., Moldovan M., Lynn D. J., et al., “National Trends in Antibiotic Use in Australian Residential Aged Care Facilities, 2005–2016,” Clinical Infectious Diseases 72, no. 12 (2021): 2167–2174. [DOI] [PubMed] [Google Scholar]
  • 10. Wondimkun Y. A., Caughey G. E., Inacio M. C., Air T., Lang C., and Sluggett J. K., “Glucose‐Lowering Medicines Use Before and After Entry Into Long‐Term Care Facilities,” Diabetes, Obesity & Metabolism 26, no. 11 (2024): 1–10. [DOI] [PubMed] [Google Scholar]
  • 11. Patell R., Nigmatoulline D., Bena J., Kim D. G., Messinger‐Rapport B., and Lansang M., “Hyperglycemia and Hypoglycemia in Patients With Diabetes in Skilled Nursing Facilities,” Endocrine Practice 23, no. 4 (2017): 458–465. [DOI] [PubMed] [Google Scholar]
  • 12. Petrillo L. A., Gan S., Jing B., Lang‐Brown S., Boscardin W. J., and Lee S. J., “Hypoglycemia in Hospice Patients With Type 2 Diabetes in a National Sample of Nursing Homes,” JAMA Internal Medicine 178, no. 5 (2018): 713–715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Retornaz F., Grino M., Mari L., and Oliver C., “Assessment of Glycemic Control in Nursing Home Residents With Diabetes,” Journal of Nutrition, Health & Aging 21, no. 4 (2017): 457–463. [DOI] [PubMed] [Google Scholar]
  • 14. Walfridsson A., Sehlberg M., Gillespie U., Dahlkvist J., and Johansson H.‐E., “Diabetes Treatment and Hypoglycaemic Episodes in Elderly Patients at Nursing Homes in Uppsala County,” Upsala Journal of Medical Sciences 121, no. 3 (2016): 179–183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Pandya N., Sieradzan R., Gabai C., Ermakova A., Xiong Y., and Trenery A., “Hypoglycemia Upon Hospital Admission From Long‐Term Care: Health Care Resource Use,” American Journal of Managed Care 27, no. 10 (2021): E349–E354. [DOI] [PubMed] [Google Scholar]
  • 16. Bruce D. G., Davis W. A., Casey G. P., et al., “Severe Hypoglycaemia and Cognitive Impairment in Older Patients With Diabetes: The Fremantle Diabetes Study,” Diabetologia 52, no. 9 (2009): 1808–1815. [DOI] [PubMed] [Google Scholar]
  • 17. Chen N.‐C., Chen C.‐L., and Shen F.‐C., “The Risk Factors of Severe Hypoglycemia in Older Patients With Dementia and Type 2 Diabetes Mellitus,” Journal of Personalized Medicine 12, no. 1 (2022): 67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Silbert R., Salcido‐Montenegro A., Rodriguez‐Gutierrez R., Katabi A., and McCoy R. G., “Hypoglycemia Among Patients With Type 2 Diabetes: Epidemiology, Risk Factors, and Prevention Strategies,” Current Diabetes Reports 18, no. 8 (2018): 53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Abbatecola A. M., Bo M., Barbagallo M., et al., “Severe Hypoglycemia Is Associated With Antidiabetic Oral Treatment Compared With Insulin Analogs in Nursing Home Patients With Type 2 Diabetes and Dementia: Results From the DIMORA Study,” Journal of the American Medical Directors Association 16, no. 4 (2015): 349.e7–349.e12. [DOI] [PubMed] [Google Scholar]
  • 20. Inacio M. C., Caughey G. E., and Wesselingh S., “Registry of Senior Australians (ROSA): Integrating Cross‐Sectoral Information to Evaluate Quality and Safety of Care Provided to Older People,” BMJ Open 12, no. 11 (2022): e066390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Morton J. I., Lazzarini P. A., Shaw J. E., and Magliano D. J., “Trends in the Incidence of Hospitalization for Major Diabetes‐Related Complications in People With Type 1 and Type 2 Diabetes in Australia, 2010–2019,” Diabetes Care 45, no. 4 (2022): 789–797. [DOI] [PubMed] [Google Scholar]
  • 22. Pratt N. L., Kerr M., Barratt J. D., et al., “The Validity of the Rx‐Risk Comorbidity Index Using Medicines Mapped to the Anatomical Therapeutic Chemical (ATC) Classification System,” BMJ Open 8, no. 4 (2018): e021122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Wondimkun Y. A., Caughey G. E., Inacio M. C., et al., “National Trends in Utilisation of Glucose Lowering Medicines by Older People With Diabetes in Long‐Term Care Facilities,” Diabetes Research and Clinical Practice 212 (2024): 111701. [DOI] [PubMed] [Google Scholar]
  • 24. American Diabetes Association Professional Practice Committee , “13. Older Adults: Standards of Care in Diabetes—2024,” Diabetes Care 47, no. 1 (2023): S244–S257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Pandya N., Hames E., and Sandhu S., “Challenges and Strategies for Managing Diabetes in the Elderly in Long‐Term Care Settings,” Diabetes Spectrum 33, no. 3 (2020): 236–245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Feil D. G., Rajan M., Soroka O., Tseng C.‐L., Miller D. R., and Pogach L. M., “Risk of Hypoglycemia in Older Veterans With Dementia and Cognitive Impairment: Implications for Practice and Policy,” Journal of the American Geriatrics Society 59, no. 12 (2011): 2263–2272. [DOI] [PubMed] [Google Scholar]
  • 27. Holman H., Müller F., Bhangu N., Kottutt J., and Alshaarawy O., “Impact of Limited English Proficiency on the Control of Diabetes and Associated Cardiovascular Risk Factors. The National Health and Nutrition Examination Survey, 2003–2018,” Preventive Medicine 167 (2023): 107394. [DOI] [PubMed] [Google Scholar]
  • 28. Haines H. M., Bannon‐Murphy H., Amos T., and Krones R., “Prevalence and Management of Diabetes in Residential Aged Care Facilities in North‐East Victoria, Australia,” Australian Family Physician 45, no. 12 (2016): 908–911. [PubMed] [Google Scholar]
  • 29. Inacio M. C., Jorissen R. N., Wesselingh S., et al., “Predictors of Hospitalisations and Emergency Department Presentations Shortly After Entering a Residential Aged Care Facility in Australia: A Retrospective Cohort Study,” BMJ Open 11, no. 11 (2021): e057247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Duckett S., “Commentary: The Consequences of Private Involvement in Healthcare—The Australian Experience,” Healthcare Policy 15, no. 4 (2020): 21–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Huang E. S., Laiteerapong N., Liu J. Y., John P. M., Moffet H. H., and Karter A. J., “Rates of Complications and Mortality in Older Patients With Diabetes Mellitus: The Diabetes and Aging Study,” JAMA Internal Medicine 174, no. 2 (2014): 251–258. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Text S1. Data source.

Text S2. Covariates.

Figure S1. Cohort selection flowchart.

Figure S2. Cumulative incidence of hospitalization with a primary and/or secondary diagnosis of (a) hypoglycemia or (b) hyperglycemia and competing risk of mortality in the 12 months after LTCF entry.

Table S1. International Statistical Classification of Disease and Related Problems, 10th Revision, Australian Modification (ICD‐10‐AM) codes used to identify hospitalizations for hypoglycemia or hyperglycemia.

Table S2. Cause of death among individuals with diabetes in the 12 months after long‐term care facility entry.

Table S3. Factors associated with hospitalization for hypoglycemia or hyperglycemia (primary diagnosis and/or secondary diagnosis) in the 12 months after long‐term care facility entry (n = 54,204).

Table S4. Primary reason for all‐cause hospitalization, and hospitalization with a secondary diagnosis of hypoglycemia or hyperglycemia among individuals with diabetes in the 12 months after long‐term care facility entry, n (%).

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