Background
Methods
Results
Search results
Group | First author, Year, Country | Clear statement of aims | Article Type | Setting | Purpose | Participants | Mean Age | Female (%) | Results/Recommendations | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Identification checklist/chart | Vivanti (2010) Australia [17] | Y | Observational prospective analysis | Hospital | Screening questions and clinical parameters in hydrated and dehydrated patients. | 86 (36 dehydrated) | 78.6 | 54.7 | Inter rater repeatability 70–95% agreement. | |||
Sensitivity | Specificity | |||||||||||
Tongue dryness | 64%,(95% CI 54–74%) | 62%, (95% CI 52–72%) | ||||||||||
Pain interference | 83%, (95% CI 76–90%) | 32%, (95% CI 23–43%) | ||||||||||
Drop in systolic BP | 69%, (95% CI 59–79%) | 56%, (95% CI 46–66%) | ||||||||||
Skin turgor | 44% (95% CI 34–54%) | 65% (95% CI 55–75%) | ||||||||||
The authors identified tongue dryness as a clinical feature to identify dehydration amongst older people. Further studies were recommended. | ||||||||||||
Identification checklist/chart | Vivanti (2008) Australia [18] | Y | Observational prospective analysis | Hospital | Over 40 clinical parameters were explored in hydrated and dehydrated patients. | 43 patients 8 Focus Group 9 Interviews | 78.3 | 65 | Presence of mild dehydration: | |||
Tongue dryness | 71.4%,(OR 4.4 (95% CI 0.8–26.1)) | |||||||||||
Tongue furrow | 57.1%, (OR 3.0 (95% CI 0.5–15.8)) | |||||||||||
Dry oral mucous membrane | 57.1%, (OR 2.3 (95% CI 0.4–12.0)) | |||||||||||
Tissue turgor hand | 88.7%, (OR 2.6 (95% CI 0.2–24.6)) | |||||||||||
Tissue turgor sternum | 14.3%, (OR 5.8 (95% CI 0.3–106.4)) | |||||||||||
Dehydrated | Hydrated | p value | ||||||||||
Systolic BP standing drop | 20.1 ± 20.8 mmHg | 2.1 ± 19.0 mmHg | 0.03 | |||||||||
BMI | 20.0 ± 3.0 | 27.5 ± 6.2 | 0.03 | |||||||||
Weight | 46.7 kg | 71.5 kg | 0.04 | |||||||||
The authors reported that physical, rather than biochemical, parameters more often identified mild dehydration. | ||||||||||||
Identification checklist/chart | Bulgarelli (2015) Italy [34] | Y | Observational prospective analysis | Hospital | Evaluation of the DRAC | 21 (received checklist) | 80 | 54.7 | Patient’s scores evaluated within 3 days of admission and at discharge. Scores on the DRAC did not significantly change between admission and discharge and were not correlated with laboratory measures of dehydration. | |||
Identification checklist/chart | Mentes (2011) USA [26] | Y | Observational retrospective analysis | Nursing Home | Evaluated the DRAC using a factor analysis, and multiple logistic regression. | 133 (9 Nursing Homes) | 83.1 | 56.4 | 40 items were reduced to 17 based on frequency distribution. The remaining factors were examined for their association with dehydration, which varied from −0.012 (female gender) to 0.567 (urinary incontinence). See Table 3 for the factors included. Overall there was low to moderate association with dehydration. An increased number of risk items indicate a greater overall risk. | |||
Identification checklist/chart | Wotton (2008) Australia [19] | Y | Review | N/A | Reviewed risk factors and explored the reliability of clinical signs. | N/A | N/A | N/A | The authors concluded that the management of fluid and electrolyte balance requires a complex mixture of skills including knowledge, expertise and an understanding of the underlying physiological principles of fluid balance in the body. The use of multiple patient assessment cues should be used by nurses to differentiate between and respond to the various causes of dehydration. Actions include education for older adults on adequate fluid intake, visual reminders to drink, increased offering of fluids between meals and special drinking apparatus or swallowing exercise. | |||
Identification checklist/chart with care intervention | Food First team (2012) United Kingdom (England) [20] | N | Clinical guideline | Hospital | Reporting of a checklist with an accompanying response protocol. | N/A | N/A | N/A | Recommendations were to assess 24 h fluid intake, urine colour, and symptoms associated with dehydration risk before formalising an individual hydration plan. | |||
Identification checklist/chart with care intervention | Keller (2006) Australia [32] | Y | Audit | Nursing Home | Use of an audit tool to measure current practice against best practice. | Pre-audit 96 Post-audit 15 | 65< | Not reported | 96 records were audited showing an increase from 40% to 100% in risk identification, but there was no improvement in hydration management. The audit tool was useful in identifying current practice, to facilitate change with the aim to improve clinical outcomes in residential homes. | |||
Identification checklist/chart with care intervention | Zembrzuski (1997) USA [21] | Y | Review | N/A | Reporting of a broad approach to hydration management. | N/A | N/A | N/A | Approach categories included: administration, work with clinical staff and in service education activities. An assessment tool, administrative and education guidelines and brain storming sheets are included to allow the reader to initiate a prevention of dehydration programme. Items on the assessment chart had equal weighting. A higher risk of dehydration was assumed if more factors were present. | |||
Identification checklist/chart with care intervention | NHS East of England (2011) United Kingdom (England) [22] | Y | Clinical guideline | N/A | Development of an information package including policy guidance for: assessing, planning, delivering, evaluating and recording fluid care. | N/A | N/A | N/A | Audit results indicated inadequate staff knowledge about the assessment and management of fluid volumes. Nine principles were developed to improve hydration management. The bundle included urine colour charts and a drinks tick chart for patients. Staff were provided with a range of tools for auditing and recording hydration. | |||
Identification checklist/chart with care intervention | Mentes (2000) USA [23] | Y | Review | N/A | Development of a protocol for healthcare staff to identify dehydration and provide strategies to promote hydration. | N/A | N/A | N/A | Hydration management should be defined in three stages: risk identification, intervention and review. Individual management plans should include a statement regarding the frequency that patients are to be offered drinks. The DRAC was divided into the following sections: Significant health conditions/situations, intake behaviours, medications and laboratory results with female gender and aged over 85 also higher risk factors. | |||
Identification by urinary inspection | Rowat (2011) United Kingdom (Scotland) [35] | Y | Observational prospective analysis | Hospital | Evaluation of urine colour and urine specific gravity as an early indicator of dehydration when compared to blood indicators in stroke patients. | 20 | 79 | 55 | Dehydrated patients had a non-significant higher median test strip Usg and refractometer Usg and Ucol than those hydrated. The within-subject agreement between the refractometer Usg and nurse’s opinion was 84%. Refractometer agreed with 40% of urine test strip Usg. Agreement between refractometer Usg and Ucol was 67%. The results do not support the use of the urine test strip urine specific gravity as an early indicator of dehydration. | |||
Identification by urinary inspection | Mentes (2006) USA [33] | Y | Descriptive correlation | Nursing Home | Evaluation of urine colour as a valid indicator of dehydration. | 98 (7 nursing homes) | 84 | 53 | Urine colour averaged over several readings provides another tool in assessing dehydration status with individuals with adequate renal function when compared against urine specific gravity. The authors concluded that the method is low intensity and low cost but further study is needed to improve generalizability. | |||
Promotion of oral intake | Wakeling (2011) United Kingdom [27] | Y | Audit | Hospital | Evaluated whether using a drinking aid (sports bottle/bite valve straw) that attached to the patients bed could improve fluid monitoring. | 313 patients 23 Staff | 16–98 | Not reported | Length of stay (days) | Dehydration | Infections | |
Pre-intervention | 41 | 31 | 28 | |||||||||
Post intervention | 33 | 1 | 0 | |||||||||
Patient questionnaires −142 distributed, 44 returned suggesting the drinking aid was easy to use. | ||||||||||||
Promotion of oral intake | Robinson (2002) USA [29] | Y | Quasi Single Subject ABA | Nursing Home | Evaluation of a hydration assistant, individualised care plan and a colourful beverage cart with a selection of drinks. | 51 | 83.5 | 84.3 | Post-intervention significant improvements seen in TBW (p = 0.001), bowel movements (p = 0.04), reduction in laxative use (0.05), decline in number of falls (0.05) and decline in costs (0.05). 53% of participants always consumed an additional 8 oz of beverage mid-morning and mid-afternoon. The authors conclude that providing two additional glassed of fluid per day is a simple intervention and can make an important difference in a resident’s quality of life. | |||
Promotion of oral intake | Simmons (2001) USA [30] | Y | Controlled clinical intervention trial | Nursing Home | Evaluation of verbal prompts and patient’s drink preference. | 63 (2 nursing homes) | IG 88.9 CG 86.3 | IG 92 CG 67 | Significant correlations with fluid intake changes were: age (r = −.32, P = .015), BMI (r = .45, P = .001), and MMSE (r = − .494, P = .000). The intervention was effective in increasing fluid intake. Verbal prompting alone was effective in improving fluid intake in the more cognitively impaired residents, whereas preference compliance was needed to increase fluid intake among less cognitively impaired residents. | |||
Promotion of oral intake | Spangler (1984) USA [36] | N | Intervention RCT crossover | Nursing Home | Evaluation of a cart equipped with liquids and toileting equipment, aimed to decrease incontinence and improve hydration. | 30 Interviewed 16 Selected | 59–96 | 87.5 | Pre intervention | Post intervention | ||
Dehydrated | 25% | 0% (two participants over hydrated) | ||||||||||
There was an overall decrease in dehydration, and significant improvements in mean urinometer scores (p < 0.002) | ||||||||||||
Professional knowledge/awareness improvement | NHS Kidney Care (2012) United Kingdom [37] | Y | Survey | Hospital | Survey of use and impact of a poster campaign. | 53 Trusts | N/A | N/A | Survey had a 33% response rate. 79.2% had received the poster pack and 69.8% had displayed them. Posters were displayed on wards 54.7% of the time. 45.3% of respondents had a policy to monitor hydration, 15.1% had a policy but felt it needed updating, 28.3% did not respond to the question and 11.3% of respondents did not have a policy to monitor hydration. Challenges preventing hydration monitoring− 22.6% compliance of documentation. 17% keeping up to date with current practice and 11.3% raising staff awareness on the importance of monitoring. 64.2% felt staff would benefit from more training. | |||
Professional knowledge/awareness improvement | McIntyre (2012) United Kingdom [31] | Y | Audit/Survey | Hospital | Implementation of the NHS East of England Intelligent fluid management bundle. | 0 | N/A | N/A | 8 of 11 NHS trusts were using the tool. The five key points introduced included: All patients should have their fluid needs assessed, a plan should be made for each patient, fluid intake should be managed continuously, hydration should be reviewed for early detection of deterioration, and education for all should underpin the principles of successful fluid management. | |||
Professional knowledge/awareness improvement | NPSA and RCN (2007) United Kingdom [38] | Y | Clinical guideline | Hospital | Development of a toolkit to improve best practice amongst hospitals in the UK. | N/A | N/A | N/A | The toolkit comprised factsheets; checklists and advice presented in 11 sections from the RCN nutrition now campaign. | |||
Professional knowledge/awareness improvement | Kositzke (1990) USA [24] | Y | Review and Case Study | Hospital | Identification of risk factors and assessment of hydration intervention. | 1 | 89 | 0 | In the case study presented, success was signalled by normal skin and tongue turgor, urine output in adequate amounts with normal specific gravity, pulse, blood pressure and absence of risk factors. | |||
Professional knowledge/awareness improvement | Beattie (2013) Australia [39] | Y | Survey | Nursing Home | Survey of staff knowledge about nutritional needs, mealtime practices and attitudes towards mealtime practices. | 76 | Not reported | 90 | 38% of staff reported conducting fluid intake/output assessments. Nursing staff scored higher. | |||
Knowledge (% correct) | ||||||||||||
Overall | 47 | |||||||||||
Malnutrition risk factors | 76 | |||||||||||
Hydration status | 63 | |||||||||||
Fluid requirements | 15 | |||||||||||
The results demonstrated a need to enhance awareness and assessment skills. | ||||||||||||
Professional knowledge/awareness improvement | RCN Nutrition Now Campaign (2007) United Kingdom [25] | Y | Summary | N/A | Summary of the NPSA and RCN Nutrition now campaign. | N/A | N/A | N/A | Recommended 20 points to encourage water consumption. Some of these included: using visual aids for patients at increased risk, to offer larger volumes of fluid when giving out medication and to include patients, family and friends in hydration promotion. | |||
Professional knowledge/awareness improvement | Mentes (2013) USA [28] | Y | Review | N/A | Summary of an evidence based practice guideline “Hydration Management Protocol” | N/A | N/A | N/A | The article presents a summary of previously published information to increase the readers knowledge of definitions, risk factors and intervention included in the DRAC. |
Individual risk factors
Identification checklist/chart
Vivanti 2010 [17] | Vivanti 2008 [18] | Wotton [19] | Mentes and Wang [26] | Zembrzuski [21] | NHS East of England [22] | GULP [20] | Mentes and Iowa-Veterans [23] | |
---|---|---|---|---|---|---|---|---|
History | ||||||||
Age | X | X | ✓70+ | ✓85+ | ✓85+ | X | X | ✓85+ |
Constipation/incontinence | X | X | X | ✓ | ✓ | X | X | ✓ |
Diarrhoea/vomiting | X | ✓ | ✓ | X | ✓ | X | ✓ | ✓ |
Dietary restrictions | X | X | X | X | ✓ | ✓ | X | ✓ |
Difficulty swallowing | X | X | ✓ | ✓ | ✓ | X | X | ✓ |
Dizziness/light-headedness | X | X | X | X | X | X | ✓ | X |
Feeling thirsty | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | X | ✓ |
Low mood | X | X | X | ✓ | X | X | X | ✓ |
Medication | X | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Multiple medical conditions | X | X | ✓3+ | X | X | X | X | ✓4+ |
Poor mobility/ falls/weakness | ✓ | ✓ | ✓ | ✓ | ✓ | X | ✓ | ✓ |
Pain | ✓ | X | X | X | X | X | X | X |
Recent hospitalisation | X | X | ✓ | X | ✓ | X | X | X |
Repeated UTIs/Infections | X | X | ✓ | ✓ | ✓ | X | ✓ | ✓ |
Visual difficulties | X | X | ✓ | X | X | X | X | X |
Observation | ||||||||
24 hr fluid intake/output | X | ✓ | ✓ | X | ✓ | ✓ | ✓ | ✓ |
Blood pressure/pulse | ✓ | ✓ | ✓ | X | ✓ | ✓ | ✓ | ✓ |
Confusion | X | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Drowsy/lethargic | X | X | X | X | ✓ | X | ✓ | X |
Dry mouth/tongue/eyes/skin | ✓ | ✓ | ✓ | X | ✓ | ✓ | ✓ | ✓ |
Fever | X | ✓ | ✓ | X | ✓ | X | ✓ | ✓ |
Increased respiration | X | ✓ | ✓ | X | X | X | X | X |
Low body weight/Malnutrition | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | X | ✓ |
Open wound | X | X | X | X | X | ✓ | ✓ | X |
Sweating | X | X | ✓ | X | ✓ | ✓ | X | ✓ |
Bedside test | ||||||||
Hyperglycaemia | X | X | ✓ | X | X | X | ✓ | X |
Urine | ||||||||
Colour | X | ✓ | ✓ | X | ✓ | ✓ | ✓ | ✓ |
Gravity | X | X | ✓ | X | ✓ | X | X | ✓ |
Score Performance | ||||||||
Sens % | Unknown | Unknown | Unknown | Internal Consistency Theta coefficient 0.68 | Unknown | Unknown | Unknown | Unknown |
Spec % | Unknown | Unknown | Unknown | Unknown | Unknown | Unknown | Unknown | Unknown |
Inter-rater reliability % | 83–87% | Unknown | KMO 0.6 | Unknown | Unknown | Unknown | Unknown | |
Compliance % | Unknown | Unknown | Unknown | Unknown | Unknown | Unknown | Unknown | |
Dehydration present | N/A | Factor loadings for the questions ranged from −0.012–0.567 | N/A | N/A | N/A | N/A | ||
Hydration response protocol | X | X | ✓ | X | ✓ | ✓ | ✓ | ✓ |