Missed Nursing Care: An Introduction (101)

Learning Objectives

After studying this chapter, the reader should be able to:

1. Define missed nursing care and explain the common core shared by its synonyms (unfinished care, implicit rationing, care left undone).

2. Describe the four phases through which the concept developed between 2001 and 2026 and name the studies that marked each phase.

3. Distinguish missed nursing care from at least five neighbouring concepts, including errors of omission, explicit rationing and patient-forgone care.

4. Classify a given study by type of missed care, reporting perspective and level of analytical sophistication.

5. Compare the main measurement instruments and evaluate their validity threats.

6. Formulate a researchable question that addresses a documented gap in the literature.

Key Concepts

Note. Definitions are the author’s working synthesis; cited sources are the corpus records on which each meaning rests.

Figure 1 shows the screening flow. The counts match the screening workbook delivered with this chapter record by record.

1. Introduction: Why Missed Nursing Care Matters

Consider a medical ward on a winter night. Two nurses look after twenty-four patients; three admissions arrive within an hour and one patient deteriorates. Medications are given and vital signs are checked, but the post-operative patient is not walked, two patients do not receive mouth care, a family’s questions about discharge go unanswered and the care plan is not updated. Nothing dramatic happens, no incident report is filed and the shift is handed over. This invisible residue of work that should have been done is what the literature calls missed nursing care.

The concept matters because it opens the “black box” between nurse staffing and patient outcomes. Staffing studies showed for decades that fewer nurses are associated with worse outcomes, but they could not show what happens on the ward that produces the association. Missed care offers a candidate mechanism: when demand exceeds capacity, nurses prioritise, and the activities that drop out of the shift carry risk for patients (Ball et al., 2014; Ball et al., 2018). It also offers managers a measurable process indicator that can be monitored before harm occurs, which is why several authors have proposed nurse-reported missed care as an early warning signal for unsafe staffing (Ball et al., 2014; Recio-Saucedo et al., 2018).

This chapter introduces the concept from the ground up and then moves to its more sophisticated uses. It is built on a screened corpus of 610 Web of Science records (Table 2), so every factual statement can be traced to a record in the corpus.

Note. Counts computed from the WoS export of 15 November 2026. Citation counts change over time and are given for orientation only. Source: produced by the author from the corpus.

2. History and Development

The history of the concept falls into four phases, preceded by a period in which the phenomenon was measured before it had a name (Figure 2). Figure 3 shows that output stayed below 25 records a year until 2019 and then rose sharply.

2.1 Prehistory: Measuring Before Naming (2001–2005)

The idea first appeared as a survey item rather than a concept. In the International Hospital Outcomes Study, more than 43,000 nurses in five countries reported on the quality of hospital care and their work environments (Aiken et al., 2001). Analysing Pennsylvania data from that study, Sochalski (2004) found that the number of nursing tasks left undone accounted for more than 40% of the variation in nurses’ ratings of care quality, more than patient workload itself. Later, Lucero et al. (2010) linked unmet nursing care needs to medication errors, infections and falls. None of these studies uses the corpus terms in its title, which is itself a finding: the measure preceded the label.

2.2 Phase I. Naming (2006–2009)

Two research programmes gave the phenomenon its names almost simultaneously. In the United States, a qualitative study on medical-surgical units identified nine elements of regularly missed care (ambulation, turning, feeding, patient teaching, discharge planning, emotional support, hygiene, intake and output documentation and surveillance) and seven themes explaining why (Kalisch, 2006). The same programme produced the MISSCARE Survey (Kalisch & Williams, 2009) and a concept analysis that defined missed nursing care and embedded it in the Missed Nursing Care Model (Kalisch et al., 2009). In Switzerland, the Basel Extent of Rationing of Nursing Care (BERNCA) was developed because no accepted definition of implicit rationing existed (Schubert et al., 2007), and rationing predicted all six patient outcomes studied in Swiss hospitals (Schubert et al., 2008).

2.3 Phase II. Instrument and Model Building (2010–2015)

The second phase tested the model’s antecedents. Teamwork alone explained about 11% of the variance in missed care (Kalisch & Lee, 2010), staffing levels predicted it (Kalisch et al., 2011) and missed care mediated the relationship between hours per patient day and falls (Kalisch, Tschannen, et al., 2012). Patients were shown to be able to report some elements of missed care but not others (Kalisch, McLaughlin, et al., 2012), and patient-reported missed care correlated with adverse events (Kalisch et al., 2014). The RN4CAST study extended the “care left undone” measure to 33,659 nurses in 488 hospitals across 12 European countries and found similar patterns everywhere, suggesting informal task hierarchies (Ausserhofer et al., 2014); in England, 86% of nurses had left at least one activity undone on their last shift (Ball et al., 2014). The phase closed with a state-of-the-science review that compared definitions and identified 14 self-report instruments (Jones et al., 2015).

2.4 Phase III. Linking Missed Care to Outcomes (2016–2019)

The third phase connected the process indicator to outcomes. Missed care was associated with lower patient satisfaction across 409 US hospitals (Lake et al., 2016), and across nine countries a 10% increase in missed care was associated with 16% higher odds of 30-day post-surgical mortality, with Bayesian mediation analysis supporting missed care as a mediator of the staffing effect (Ball et al., 2018). A contemporaneous review, however, judged the evidence base “modest” and found no clear association with mortality across three studies (Recio-Saucedo et al., 2018). Shift-level designs reached neonatal intensive care (Tubbs-Cooley et al., 2019) and nursing homes (White et al., 2019), and a narrative review consolidated six conceptual and methodological challenges (Vincelette et al., 2019).

2.5 Phase IV. Global Diffusion and the Critical Turn (2020–2026)

Four developments define the current phase. First, volume and geography expanded: 492 of the 610 records appeared from 2020 onwards, and Iran, China and Türkiye joined the United States among the leading producers (Figure 9). Second, COVID-19 created a new context (39 records), in which protective equipment and isolation made talking, mobility and emotional care harder to deliver (Sugg et al., 2021). Third, a critical and theoretical turn questioned the field’s individualist framing through ethics (Kearns, 2020), structural critique (Walsh & Dillard-Wright, 2020), structure–agency theory (Jones et al., 2020) and complexity theory (Albsoul et al., 2021). Fourth, synthesis matured: an overview of reviews (Chaboyer et al., 2021), a COSMIN review of instruments (Palese, Navone, et al., 2021), a scoping review of interventions (Schubert et al., 2021), a review for low- and middle-income countries (Imam et al., 2023) and a meta-analysis of 45 studies (Sarpong et al., 2026).

Terminology converged as the field grew (Figure 4). The share of titles using the “missed care” family rose from 56% in 2006–2009 to 76% in 2023–2026, whereas the “rationing” family fell from 33% to 11%. “Unfinished care” appeared only after 2016, largely through Italian work that proposed it as an umbrella term (Bassi et al., 2020).

3. Definitions and Conceptual Schema

The 610 records contain 58 sentences that define one of the corpus terms. Table 3 compares fourteen definitions selected to cover every term family, three decades and the main disciplinary vantage points. Figure 5 codes each definition against eight dimensions.

Note. Discipline is the Web of Science category of the source journal; the orientation in parentheses is the author’s coding. Definitions are paraphrased from the record abstracts. Source: produced by the author from the corpus.

Three findings stand out. First, there is a stable common core: omission appears explicitly in 13 of the 14 definitions, and a normative standard (“required”, “necessary”, “standard”) in seven. Second, the definitions diverge on causation. Resource scarcity is explicit in five definitions and present in the framing of twelve, whereas the nurse’s own judgement is explicit in only two (Moradi et al., 2023; Schubert et al., 2007). Third, delay is the most inconsistent element: it is explicit in five definitions, absent from the rationing tradition and central to the Kalisch tradition (Chaboyer et al., 2021; Kalisch et al., 2009). The ethical and structural dimensions are recent additions concentrated in philosophical work (Kearns, 2020; Walsh & Dillard-Wright, 2020).

Drawing these elements together, the chapter uses the following working definition: missed nursing care is required nursing care that is omitted in whole or in part, or delayed beyond its clinically meaningful window, by nursing staff in the course of care delivery, usually as the outcome of prioritisation under a mismatch between care demand and available resources. The definition keeps the safety core, treats delay as part of the construct, and leaves causation as an empirical question rather than a definitional assumption.

4. Distinguishing Missed Nursing Care from Neighbouring Concepts

A concept is useful only if it can be told apart from its neighbours. Screening this corpus made the point concretely: twelve of the fifteen excluded records used “missed care” for appointments patients did not attend or care patients forwent, a different phenomenon with a different agent. Table 4 sets out the distinctions and Figure 6 summarises them as a matrix.

Note. Source: produced by the author from the corpus.

Two distinctions deserve emphasis. The first concerns the agent: missed nursing care is something the care system, through its nursing staff, fails to deliver; patient-forgone care is something patients do not take up. The second concerns the level: explicit rationing allocates resources across populations, whereas missed care is observed at the level of the shift and the patient. Confusing either leads to the classification errors visible in a title-based search.

5. Types and Classifications

The corpus supports at least six classification axes. They are not competing typologies but complementary lenses; a single study can be located on all of them (Table 5).

Note. Source: produced by the author from the corpus.

Across settings, one pattern recurs: when time runs short, clinical and physiological tasks are protected, whereas talking with patients, teaching, emotional support and care planning are the first to drop out (Ausserhofer et al., 2014; Imam et al., 2023; Jones et al., 2015). Missed care is therefore not random; it reflects an implicit hierarchy of what counts as essential nursing work.

6. Theoretical Frameworks and Models

The field rests on one dominant model and several challengers (Table 6). The Missed Nursing Care Model treats missed care as the result of antecedents (patient demand, labour resources, material resources, teamwork and communication) that force priority decisions, filtered through the nursing process and the nurse’s internal values (Kalisch et al., 2009). Its components have been tested repeatedly: staffing (Kalisch et al., 2011), teamwork (Kalisch & Lee, 2010) and the downstream link to falls (Kalisch, Tschannen, et al., 2012).

Note. Source: produced by the author from the corpus.

Figure 7 integrates these frameworks. Antecedents feed a decision space in which nurses prioritise under constraint; the resulting omissions have consequences for patients, nurses and organisations; and a plausible feedback loop runs from nurse outcomes back to labour resources: burnout and dissatisfaction are associated with leaving care undone, and missed care with lower job satisfaction and intention to leave, which deplete the staff on which care depends (Stemmer et al., 2022; White et al., 2019). A structural layer, emphasised by the critical turn, frames the whole system.

6.1 From Simple to Sophisticated: Five Levels of Inquiry

Studies in the corpus can be ordered by the question they ask (Figure 8). Level 1 describes how much care is missed and which elements, as in the founding qualitative study (Kalisch, 2006). Level 2 correlates missed care with nurse and unit characteristics, typically through multi-site regression (Ausserhofer et al., 2014; Bragadóttir et al., 2017). Level 3 tests whether missed care mediates the effect of staffing on outcomes, using multi-source and multilevel data (Ball et al., 2018; Bruyneel et al., 2024; Kalisch, Tschannen, et al., 2012). Level 4 asks which combinations of causes produce which omissions, using qualitative comparative analysis (Cartaxo et al., 2024), item-level network analysis (Lv et al., 2026) or latent profile analysis (Liu et al., 2026). Level 5 intervenes and observes: a randomised design found that brief proactive huddles reduced missed care (Vexler et al., 2025), and routine ICU data can now capture omissions without self-report (Blatter et al., 2026).

The distribution of the corpus across these levels is uneven. By dominant design, 59.7% of records are cross-sectional surveys, 12.3% qualitative and 13.9% reviews, while longitudinal or routine-data studies (4.1%) and intervention studies (2.3%) remain rare (Figure 9A). The field is therefore strongest at Levels 1 and 2 and thinnest at Level 5.

7. Themes and Bibliometric Profile

Figure 9 summarises the research landscape. The modal study is a cross-sectional survey of hospital nurses in a general acute setting; 342 records name no specific specialty. Among specialties, intensive care (82 records) dominates, followed by COVID-19 contexts, long-term care and community care. Mental health is almost absent (6 records). Measurement is concentrated: 170 records (27.9%) mention the MISSCARE Survey in their title, abstract or keywords, followed by the BERNCA family (41) and PIRNCA (24).

Four thematic clusters organise the literature. The workforce cluster links staffing, skill mix, work environment and teamwork to missed care (Ausserhofer et al., 2014; Cho et al., 2020). The outcome cluster connects missed care to falls, infections, readmissions, mortality and patient experience (Ball et al., 2018; He et al., 2025; Lake et al., 2016). The nurse well-being cluster relates missed care to burnout, job dissatisfaction, moral distress and intention to leave; a meta-analysis estimated a summary correlation of r = −0.29 with job satisfaction (Algin et al., 2024; Stemmer et al., 2022). The ethics and theory cluster examines responsibility, values and structure (Kearns, 2020; Vryonides et al., 2015; Walsh & Dillard-Wright, 2020). A bibliometric analysis within the corpus also mapped the thematic hotspots of the field (Sarpong et al., 2023).

8. Missed Nursing Care in Türkiye

Türkiye is one of the fastest-growing producers in the corpus. Forty-three records have a first author based in Türkiye (fourth after the USA, China and Iran), and 55 records include at least one Türkiye address. All 43 first-authored records date from 2020 or later, with 18 published in 2026 alone; 35 are cross-sectional surveys, four qualitative, three reviews and one a validation study.

Measurement in Türkiye began with the Turkish MISSCARE Survey, which falls outside the title-based corpus but was verified in PubMed (Kalisch, Terzioglu, et al., 2012), and has recently been extended by the Turkish Unfinished Nursing Care Survey (Özsaban et al., 2026). Multi-hospital studies identified turning patients as the most frequently missed element and teamwork as the strongest single predictor, explaining 23.6% of variance (Eskici & Baykal, 2022), while others showed that predictors differ from one care activity to another (Ergezen et al., 2023). The national literature now covers paediatric emergency and paediatric surgical units (Arikan & Esenay, 2023; Yurdakul & Esenay, 2026), neonatal intensive care (Bakirlioglu et al., 2025), psychiatric clinics (Bayindir et al., 2025), nursing homes (Özkan et al., 2026) and nursing students (Dağcan Şahin et al., 2026). Distinctive contributions include the patient perspective, in which patient-reported missed care, particularly in communication, was linked to trust in nurses and satisfaction with care (Biyik & Ozturk, 2026; Demir et al., 2024), and qualitative evidence that verbal violence against nurses can pave the way for missed care (Bayram et al., 2023). The gaps mirror the international picture: almost no intervention or longitudinal studies, and heavy reliance on nurse self-report.

9. Critical Layer

9.1 Debates and Contradictions in the Literature

Axis 1. Error or professional judgement? The founding tradition frames missed care as an error of omission and a safety failure (Kalisch & Xie, 2014; Kalisch et al., 2009). The rationing tradition and ethical analyses frame it as a constrained professional decision for which nurses cannot be held fully responsible when the means are lacking (Kearns, 2020; Schubert et al., 2007; Vryonides et al., 2015). The two framings imply different remedies: error reduction and reliability on the one hand, resource and system reform on the other.

Axis 2. Individual nurse or structure? Most studies model nurse-level predictors such as experience, burnout or moral sensitivity. Critical scholars argue that this individualises a structural problem produced by the economics of health care (Walsh & Dillard-Wright, 2020) and call for research that examines how nurse agency interacts with system structure (Jones et al., 2020).

Axis 3. Is staffing the master cause? Staffing is the most consistent predictor (Griffiths et al., 2018; Kalisch et al., 2011). Yet nurses report missing care when staffing appeared adequate but workload surged unpredictably (Willis et al., 2015), adding support workers did little to reduce missed care (Griffiths et al., 2018), and configurational analysis shows that high demand, not staff shortage alone, was consistently present when care was missed (Cartaxo et al., 2024).

Axis 4. How strong is the outcome evidence? A nine-country study supports a mediating role for missed care in post-surgical mortality (Ball et al., 2018), whereas a review found only modest evidence overall and no clear mortality association (Recio-Saucedo et al., 2018), and an overview of reviews noted that cause and effect remain unestablished (Chaboyer et al., 2021). Activity-specific analyses suggest that composite scores may hide distinct outcome pathways (He et al., 2025).

Axis 5. One construct or several? Some authors treat missed, rationed and left-undone care as synonyms and merge their instruments (Bassi et al., 2020; Jones et al., 2015); others argue that the multiplicity of definitions is itself a methodological problem (Vincelette et al., 2019). Figure 5 shows that the terms share a core but differ in their causal assumptions, so treating them as interchangeable is defensible for synthesis but not for theory testing.

9.2 Measurement Problems

Table 7 lists the main instruments in the corpus. Their psychometric quality is generally acceptable (Palese, Navone, et al., 2021), but five problems limit what the field can conclude.

Note. Source: produced by the author from the corpus.

1. Self-report and common-method bias. Most studies obtain predictors and missed care from the same nurse in the same questionnaire, which inflates associations (Jones et al., 2015; Vincelette et al., 2019).

2. Sensitivity to design choices. Prevalence estimates rise with survey length, recall period and the scope of the response referent, so figures from different instruments are not comparable (Jones et al., 2015).

3. Content validity gaps. Instruments cover physical care far better than psychosocial and relational care; only two tools measure the relational dimension of the Fundamentals of Care framework (Palese, Longhini, et al., 2021).

4. Unequal reportability. Patients can report mouth care or pain medication but not nursing assessment or skin assessment, so patient tools capture a partial construct (Kalisch, McLaughlin, et al., 2012).

5. Missing concurrent validation. Tool families have rarely been tested against one another, so it is unclear whether they measure the same phenomenon (Palese, Navone, et al., 2021); in one Swiss comparison the German MISSCARE performed adequately while BERNCA-R did not (Hübsch et al., 2020).

The gap between conceptual and operational definitions is visible here: the leading definition includes delay, but most instruments ask only whether an activity was done, and none observes the clinically meaningful time window that delay implies.

9.3 Research Gaps and Agenda

The following questions are researchable with available designs; each is derived from a documented evidence gap.

1. Does reducing missed care improve patient outcomes when tested prospectively? Gap: only 14 intervention or quality-improvement records, a scoping review found no evidence of a global reduction (Schubert et al., 2021), and communication-focused trials remain at high risk of bias (Cadena-Estrada et al., 2026).

2. Can routine electronic records produce valid, continuous measures of missed care across ward types? Gap: calls for objective measures (Vincelette et al., 2019) and a single-setting ICU demonstration (Blatter et al., 2026).

3. Which specific omissions drive which outcomes? Gap: composite scores dominate although activity-specific links differ (He et al., 2025; Lv et al., 2026).

4. Who bears missed care? Gap: evidence on patient characteristics is conflicting, and the patient perspective remains underdeveloped (Gustafsson et al., 2020).

5. How does missed care behave in low- and middle-income, community and mental health settings? Gap: LMIC evidence is mostly cross-sectional and upper-middle-income (Imam et al., 2023); mental health accounts for 6 of 610 records.

6. Under what configurations of demand, staffing and teamwork does care go missing? Gap: linear models dominate although configurational evidence shows non-trivial combinations (Albsoul et al., 2021; Cartaxo et al., 2024).

7. Are nurse outcomes consequences or causes of missed care? Gap: nurse outcomes are mostly modelled as mediators in single-country cross-sectional studies (Stemmer et al., 2022).

8. Do Turkish instruments measure the same construct across hospital types and professional groups? Gap: national tools exist (Kalisch, Terzioglu, et al., 2012; Özsaban et al., 2026) but concurrent validation is absent.

10. Present-Day Relevance and Implications for Practice

For nurse managers, missed care offers a low-cost process indicator that can be monitored regularly, provided that it is interpreted at unit level and not used to blame individual nurses (Ball et al., 2014; Kearns, 2020). Because omissions concentrate in communication, teaching, emotional support and mobility, quality programmes should protect these activities explicitly rather than treat them as discretionary. Brief structural routines such as proactive huddles are a promising, low-resource starting point (Vexler et al., 2025), while staffing policy remains the most consistently supported lever (Griffiths et al., 2018). For educators, missed care is a teaching case in clinical prioritisation and ethics; students already encounter it during placements (Dağcan Şahin et al., 2026; Palese, Chiappinotto, et al., 2021). For policy makers, the concept provides language to make invisible nursing work visible in staffing standards and accreditation.

Discussion Questions

1. Is a delayed medication round “missed care”? Where would you draw the line between delay and omission, and how would you measure it?

2. Should missed nursing care be treated as a patient safety error or as rational prioritisation under scarcity? What follows for accountability?

3. Why do communication and emotional support drop out first? What does this suggest about how nursing work is valued?

4. (Practice) Design a monthly missed-care monitoring routine for a surgical ward. Which instrument would you choose, who would complete it, and how would you prevent it from becoming a blame tool?

5. (Practice) Your hospital plans to add healthcare assistants instead of registered nurses to reduce missed care. Using the evidence in this chapter, advise the board.

6. How could a study separate the effect of missed care on outcomes from the effect of staffing itself?

7. What would a structural-missingness perspective change in a Turkish hospital’s quality improvement plan?

Further Reading

• Kalisch et al. (2009) The concept analysis that defined missed nursing care and introduced the Missed Nursing Care Model.

• Schubert et al. (2007) The origin of the implicit rationing tradition and the BERNCA instrument.

• Jones et al. (2015) The most cited state-of-the-science review comparing synonyms, instruments and predictors.

• Ball et al. (2018) The strongest multinational test of missed care as a mediator between staffing and mortality.

• Vincelette et al. (2019) A clear map of six conceptual and methodological challenges facing the field.

• Palese, Navone, et al. (2021) A COSMIN-based appraisal of the main measurement tools.

• Walsh and Dillard-Wright (2020) A critical counterpoint locating missed care in the political economy of health care.

• Chaboyer et al. (2021) A compact overview of reviews on what is missed, why, and with what consequences.

Glossary

References

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